Publications

Following is a list of publications (including some posters, tutorial slides, etc.) in reverse chronological order. Many of the references have links that allow you access to that publication. Please contact the lab or a specific author if you have any questions. Links associated with a particular reference (e.g., conference) were current at the time of publication.

To jump to a specific year:

2008 2007 2006 2005 2004 2003 2002 2001 2000

1999 1998 1997 1996 1995 1994 before 1994

2008

Konidaris, G.D. and Barto, A.G. (2008)
Sensorimotor Abstraction Selection for Efficient, Autonomous Robot Skill Acquisition
Proceedings of the 7th IEEE International Conference on Development and Learning (ICDL-08), August 9 - 12, Monterey, CA
[ pdf ]
Konidaris, G.D. (2008)
Autonomous Robot Skill Acquisition (thesis summary)
Doctoral Symposium, 23rd National Conference on Artificial Intelligence (AAAI-08), July 13 - 17, Chicago, Illinois
Nelson, E.L., Konidaris, G.D., and Berthier, N.E. (2008)
Using Real-Time Motion Capture to Measure Handedness in Infants
Poster at the XVIth Biennial International Conference on Infant Studies, June, Vancouver, Canada
Konidaris, G.D. and Osentoski, S. (2008)
Value Function Approximation in Reinforcement Learning using the Fourier Basis
Technical Report UM-CS-2008-19, Department of Computer Science, University of Massachusetts at Amherst, June 2008
[ pdf ]
Vigorito, C.M. and Barto, A.G. (2008)
Autonomous Hierarchical Skill Acquisition in Factored MDPs
Proceedings of The Fourteenth Yale Workshop on Adaptive and Learning Systems, June 2 - 4, New Haven, CT
[ pdf ]
Vigorito, C.M. and Barto, A.G. (2008)
Hierarchical Representations of Behavior for Efficient Creative Search
AAAI Spring Symposium on Creative Intelligent Systems, March 26 - 28, Palo Alto, CA
[ pdf ] [ poster ]
Mahadevan, S. (2008)
Fast Spectral Learning using Lanczos Eigenspace Projections
Proceedings from the Twenty-Third Conference on Artificial Intelligence (AAAI-08), July 13 - 17, Chicago, Illinois
[ pdf ]
Wang, C. and Mahadevan, S. (2008)
Manifold Alignment using Procrustes Analysis
Proceedings from the Twenty-Fifth International Conference on Machine Learning (ICML-08), July 5 - 9, Helsinki, Finland
[ pdf ]

[ Top of page ]
2007
Barto, A.G. (2007)
Temporal difference learning
Scholarpedia, 2(11):1604
[ webpage ] for this article
Ghavamzadeh, M., and Mahadevan, S. (2007)
Hierarchical Average Reward Reinforcement Learning
Journal of Machine Learning Research (JMLR), 8(Nov):2629--2669, 2007
[ pdf ]
Shah, A., and Barto, A.G. (2007)
Effect on Movement Selection of Evolving Sensory Representation
poster presented at the Third Annual Computational Cognitive Neuroscience Conference (CCNC07), in conjunction with Dynamical Neuroscience XV, November 1 -- 2, San Diego, CA.
[ pdf ]
Mahadevan, S., and Maggioni, M. (2007)
Proto-value Functions: A Laplacian Framework for Learning Representation and Control in Markov Decision Processes
Journal of Machine Learning Research (JMLR), 8(Oct):2169--2231, 2007, MIT Press
[ pdf ] NOTE: this is a revised version that corrects some errors found in the original published version.
Shah, A., and Barto, A.G. (2007)
Functional Mechanisms of Motor Skill Acquisition
poster presented at the Sixteenth Annual Computational Neuroscience Meeting (CNS*2007), July 7th - 12th, Toronto, Ontario, Canada. Abstract published in BMC Neuroscience 2007, 8(Suppl 2):P203 (6 July 2007)
[ abstract | pdf of poster ]
Johns, J., Mahadevan, S., and Wang, C. (2007)
Compact Spectral Bases for Value Function Approximation Using Kronecker Factorization
Proceedings of the Twenty-second National Conference on Artificial Intelligence (AAAI-07) Vancouver, British Columbia, Canada
[ pdf ]
Mahadevan, S. (2007)
New Frontiers in Representation Discovery
Tutorial given at the Twenty-second National Conference on Artificial Intelligence (AAAI-07), July 23, 2007, Vancouver, British Columbia, Canada
[ tutorial website ]
Johns, J., Osentoski, S., and Mahadevan, S. (2007)
Representation Discovery in Planning using Harmonic Analysis
AAAI Fall Symposium on Computational Approaches to Representation Change during Learning and Development, Nov. 8-11, 2007, Washington, D.C.
[ pdf ]
Mahadevan, S. (2007)
Adaptive Mesh Compression in 3D Computer Graphics using Multiresolution Manifold Learning
Proceedings of the International Conference on Machine Learning (ICML-07), Corvallis, OR June 2007
[ pdf ]
Johns, J., and Mahadevan, S. (2007)
Constructing Basis Functions from Directed Graphs for Value Function Approximation
Proceedings of the International Conference on Machine Learning (ICML-07), Corvallis, OR June 2007
[ pdf ]
Osentoski, S., and Mahadevan, S. (2007)
Learning State-Action Basis Functions for Hierarchical MDPs
Proceedings of the International Conference on Machine Learning (ICML-07), Corvallis, OR June 2007
[ pdf ]
Mahadevan, S., Osentoski, S., Johns, J., Ferfuson, K., and Wang, C. (2007)
Learning to Plan using Harmonic Analysis of Diffusion Models
Proceedings of the International Conference on Automated Planning and Scheduling (ICAPS-07), Providence, RI, September.
[ pdf ]
Arroyo, I., Ferguson, K., Johns, J., Dragon, T., Meheranian, H., Fisher, D., Barto, A.G., Mahadevan, S., and Woolf, B. (2007)
Repairing Disengagement with Non-Invasive Interventions
Proceedings of the 13th International Conference of Artificial Intelligence in Education (AIED-07)
[ pdf ]
Vigorito, C. (2007)
Distributed Path Planning for Mobile Robots using a Swarm of Interacting Reinforcement Learners
Proceedings of the Sixth Annual International Conference on Autonomous Agents and Multiagent Systems (AAMAS-07), Honolulu, HI.
[ pdf ]
Vigorito, C., Ganesan, D., and Barto, A.G. (2007)
Adaptive Control of Duty-Cycling in Energy-Harvesting Wireless Sensor Networks
Proceedings of the Fourth Annual IEEE Communications Society Conference on Sensor, Mesh, and Ad Hoc Communications and Networks (SECON-07), San Diego, CA.
[ pdf ] (Note: this recieved the best paper award)
Şimşek, Ö. and Barto, A.G. (2007)
Betweenness Centrality as a Basis for Forming Skills
University of Massachusetts, Department of Computer Science Technical Report TR-2007-26, 2007
[ pdf ]
Barringer, C.W. and Barto, A.G. (2007)
Discrete Submovements Using Predictive Models
poster presented at the Neural Control of Movement Conference, March 25-30, Seville, Spain
[ pdf ]
Mahadevan, S. (2007)
Learning Representations for Markov Decision Processes and Reinforcement Learning
A tutorial given at the Twentieth International Joint Conference on Artificial Intelligence (IJCAI-07), Hyderabad, India, January 6-12, 2007.
[ pdf slides ]
Konidaris, G.D. and Barto, A.G. (2007)
Building Portable Options: Skill Transfer in Reinforcement Learning
Proceedings of the Twentieth International Joint Conference on Artificial Intelligence (IJCAI-07), Hyderabad, India, January 6-12, 2007.
[ pdf ]
[ Top of page ]
2006
Jonsson, A. and Barto, A.G. (2006)
Causal Graph Based Decomposition of Factored MDPs
Journal of Machine Learning Research, vol 7, pages 2259--2301, Nov., 2006.
[ pdf ]
Rohanimanesh, K. (2006)
Concurrent Decision Making in Markov Decision Processes
PhD Dissertation, Department of Computer Science, University of Massachusetts Amherst.
[ pdf ]
Mahadevan, S. and Maggiono, M. (2006)
Proto-Value Functions: A Laplacian Framework for Learning Representation and Control in Markov Decision Processes
University of Massachusetts, Department of Computer Science Technical Report TR-2006-35, 2006
[ pdf ]
Maggiono, M. and Mahadevan, S. (2006)
A Multiscale Framework For Markov Decision Processes using Diffusion Wavelets
University of Massachusetts, Department of Computer Science Technical Report TR-2006-36, 2006
[ pdf ]
Mahadevan, S. and Maggiono, M. (2006)
Learning Representation And Behavior: Manifold and Spectral Methods for Markov Decision Processes and Reinforcement Learning
A tutorial given at ICML-06, Carnegie Mellon University, June 25, 2006
[ pdf slides ]
Ghavamzadeh, M., Mahadevan, S., and Makar, R. (2006)
Hierarchical Multiagent Reinforcement Learning
Journal of Autonomous Agents and Multiagent Systems, vol. 13(2), pages 197-229, September
[ pdf ]
Mahadevan, S. and Maggioni, M. (2006)
Value Function Approximation using Diffusion Wavelets and Laplacian Eigenfunctions
Neural Information Processing Systems (NIPS), MIT Press, 2006.
[ pdf ]
Maggioni, M. and Mahadevan, S. (2006)
Fast Direct Policy Evaluation using Multiscale Analysis of Markov Diffusion Processes
Proceedings of the Twenty Third International Conference on Machine Learning (ICML 2006), Pittsburgh, PA, June 2006
[ pdf ]
Polewan, R.J., Vigorito, C.M., Nason, C.D., Block, R.A., and Moore, J.W. (2006)
A Cartesian Reflex Assessment of Face Processing
Behavioral and Cognitive Neuroscience Reviews, vol. 5(1), pages 3-23
[ pdf ] NOTE: This paper is part of the UMass Cartesian Reflex Project
Mahadevan, S., Maggioni, M., Ferguson, K., and Osentoski., S. (2006)
Learning Representation and Control In Continuous Markov Decision Processes
Proceedings of The 21st National Conference on Artificial Intelligence (AAAI-06), Boston, MA, July 16-20, 2006
[ pdf ]
Ferguson, K. and Mahadevan, S.(2006)
Proto-transfer Learning in Markov Decision Processes Using Spectral Methods
Proceedings of the ICML-06 Workshop on Structural Knowledge Transfer for Machine Learning, Pittsburgh, PA, June 2006
[ pdf ]
Ferguson, K., Arroyo, A., Mahadevan, S., Woolf, B., and Barto, A.G. (2006)
Improving Intelligent Tutoring Systems: Using Expectation Maximization To Learn Student Skill Levels
Proceedings of the Eighth International Conference on Intelligent Tutoring Systems (ITS-06), Jhongli, Taiwan, June 26 - 30, 2006
[ pdf ]
Johns, J. and Woolf, B. (2006)
A Dynamic Mixture Model to Detect Student Motivation and Proficiency
Proceedings of The 21st National Conference on Artificial Intelligence (AAAI-06), Boston, MA, July 16-20, 2006
[ pdf | ppt slides]
Johns, J., Mahadevan, S., and Woolf, B.(2006)
Estimating Student Proficiency Using an Item Response Theory Model
Proceedings of the Eighth International Conference on Intelligent Tutoring Systems (ITS-06), Jhongli, Taiwan, June 26 - 30, 2006
[ pdf ]
Konidaris, G.D. and Barto, A.G. (2006)
An Adaptive Robot Motivational System
Animals to Animats 9: Proceedings of the 9th International Conference on Simulation of Adaptive Behavior (SAB-06), CNR, Roma, Italy, September 25 - 29, 2006.
[ pdf ]
Konidaris, G.D. (2006)
A Framework for Transfer in Reinforcement Learning
Proceedings of the ICML-06 Workshop on Structural Knowledge Transfer for Machine Learning, Pittsburgh, PA, June 2006
[ pdf ]
Konidaris, G.D. and Barto, A.G. (2006)
Autonomous Shaping: Knowledge Transfer in Reinforcement Learning
Proceedings of the Twenty Third International Conference on Machine Learning (ICML 2006), Pittsburgh, PA, June 2006
[ pdf ]
Konidaris, G.D. and Barto, A.G. (2006)
Building Portable Options: Skill Transfer in Reinforcement Learning
University of Massachusetts Department of Computer Science Technical Report UM-CS-2006-17, March, 2006
[ pdf ]
Wolfe, A.P. and Barto, A.G. (2006)
Decision Tree Methods for Finding Reusable MDP Homomorphisms
Proceedings of The 21st National Conference on Artificial Intelligence (AAAI-06), Boston, MA, July 16 - 20, 2006
[ pdf ]
Wolfe, A.P. and Barto, A.G. (2006)
Defining Object Types and Options Using MDP Homomorphisms
Proceedings of the ICML-06 Workshop on Structural Knowledge Transfer for Machine Learning, Pittsburgh, PA, June, 2006
[ pdf paper | pdf slides ]
Shah, A., Barto, A.G., and Fagg, A.H. (2006)
Biologically-Based Functional Mechanisms of Coarticulation
poster presented at the Neural Control of Movement Conference, May 2-7, 2006, Key Biscayne, FL
[ pdf ]
Şimşek, Ö. and Barto, A.G. (2006)
An Intrinsic Reward Mechanism for Efficient Exploration
Proceedings of the Twenty-Third International Conference on Machine Learning (ICML 06 ), Pittsburgh, PA, June, 2006
[ pdf ]
Ferguson, K. (2006)
Improving Intelligent Tutoring Systems: Using Expectation Maximization To Learn About Student Skill Levels
University of Masschusetts Department of Computer Science Technical Report UM-CS-2006-09, February, 2006
[ pdf ]

[ Top of page ]
2005
Barto, A.G. and Şimşek, Ö. (2005)
Intrinsic Motivation for reinforcement learning systems.
Proceedings of the Thirteenth Yale Workshop on Adaptive and Learning Systems
[ pdf ]
Ghavamzadeh, M. (2005)
Hierarchical Reinforcement Learning in Continuous State and Multi-Agent Environments
PhD Dissertation, Department of Computer Science, University of Massachusetts Amherst.
[ pdf ]
Jonsson, A. (2005)
A Causal Approach to Hierarchical Decomposition in Reinforcement Learning
PhD Dissertation, Department of Computer Science, University of Massachusetts Amherst.
[ pdf ]
Konidaris, G.D. and Barto, A.G. (2005)
Autoshaping: Learning to Predict Reward for Novel States
University of Masschusetts Department of Computer Science Technical Report UM-CS-2005-58, September, 2005
[ ps.gz ]
Stout, A., Konidaris, G.D., and Barto, A.G. (2005)
Intrinsically Motivated Reinforcement Learning: A Promising Framework For Developmental Robot Learning
Proceedings of the AAAI Spring Symposium on Developmental Robotics, Stanford University, Stanford, CA, March 21-23, 2005.
[ pdf ]
Jonsson, A. and Barto, A.G. (2005)
A Causal Approach to Hierarchical Decomposition of Factored MDPs
Proceedings of the Twenty-Second International Conference on Machine Learning ICML 05, Bonn, Germany, August 7-13
[ pdf | ps ]
Mahadevan, S. (2005)
Representation Policy Iteration: A Unified Framework for Learning Representation and Behavior
Invited talk given at National Conference on Artificial Intelligence AAAI05, Pittsburgh, PA, July 9-13, 2005
[ pdf slides ]
Rohanimanesh, K. and Mahadevan, S. (2005)
Coarticulation: An Approach for Generating Concurrent Plans in Markov Decision Processes
Proceedings of the Twenty-Second International Conference on Machine Learning ICML 05, Bonn, Germany, August 7-13
[ pdf | ps ]
Mahadevan, S. and Maggioni, M.(2005)
Value Function Approximation using Diffusion Wavelets and Laplacian Eigenfunctions
University of Massachusetts, Department of Computer Science Technical Report TR-2005-38, 2005
[ pdf ]
Maggioni, M. and Mahadevan, S.(2005)
Fast Direct Policy Evaluation Using Multiscale Markov Diffusion Processes
University of Massachusetts, Department of Computer Science Technical Report TR-2005-39, 2005
[ pdf ]
Theocharous, G., Mahadevan, S., and Kaelbling, L (2005)
Spatial and Temporal Abstraction in POMDPs for Robot Navigation
submitted (soon to appear as MIT CSAIL TR)
[ ps.gz ]
Johns, J. and Mahadevan, S. (2005)
A Variational Learning Algorithm for the Abstract Hidden Markov Model
Proceedings of the National Conference on Artificial Intelligence AAAI05, Pittsburgh, PA, July 9-13, 2005
[ pdf ]
Mahadevan, S. (2005)
Samuel Meets Amarel: Automating Value Function Approximation using Global State Space Analysis
Proceedings of the National Conference on Artificial Intelligence AAAI05, Pittsburgh, PA, July 9-13, 2005
[ pdf ]
Mahadevan, S. (2005)
Representation Policy Iteration
Proceedings of the 21st Conference on Uncertainty in Artificial Intelligence UAI05, Edinburgh, Scotland, July 26-29, 2005
[ pdf ]
Mahadevan, S. (2005)
Proto-Value Functions: Developmental Reinforcement Learning
Proceedings of the International Conference on Machine Learning ICML05, Bonn, Germany, August 7-13, 2005
[ pdf ]
Manfredi, V. and Mahadevan, S. (2005)
Hierarchical Reinforcement Learning using Graphical Models
ICML Workshop on Rich Representation for Reinforcement Learning, Bonn, August 7th, 2005.
[ pdf ]
Manfredi, V. and Mahadevan, S. (2005)
Dynamic Abstraction Networks
University of Massachusetts, Amherst, Technical Report TR 2005-33, 2005
[ ps ]
Manfredi, V. and Mahadevan, S. (2005)
Kalman Filters for Prediction and Tracking in an Adaptive Sensor Network
University of Massachusetts, Amherst, Technical Report 2005-7, 2005
[ ps ]
Jonsson, A., Johns, J., Mehranian, H., Arroyo, I., Woolf, B., Barto, A.G., Fisher, D., and Mahadevan, S.(2005)
Evaluating the Feasibility of Learning Student Models from Data
AAAI Workshop on Educational Data Mining, Pittsburgh, PA, July 9, 2005
[ ps ]
Şimşek, Ö., Wolfe, A.P., and Barto, A.G. (2005)
Identifying useful subgoals in reinforcement learning by local graph partitioning.
Proceedings of the Twenty-Second International Conference on Machine Learning ICML 05, Bonn, Germany, August 7-13
[ pdf | bibtex ]
Berthier, N. E., Rosenstein, M. T., and Barto, A. G. (2005)
Approximate Optimal Control as a Model for Motor Learning
Psychological Review vol. 112, pages 329 - 346

[ Top of page ]
2004
Ghavamzadeh, M. and Mahadevan, S. (2004)
Hierarchical Multiagent Reinforcement Learning
Technical Report UM-CS-2004-02, Department of Computer Science, University of Massachusetts, Amherst, MA
[ ps | pdf ]
Singh, S., Barto, A.G., and Chentanez, N. (2004)
Intrinsically Motivated Reinforcement Learning
18th Annual Conference on Neural Information Processing Systems (NIPS), Vancouver, B.C., Canada, December 2004
[ pdf ]
Barto, A.G., Singh, S., and Chentanez, N. (2004)
Intrinsically Motivated Learning of Hierarchical Collections of Skills
International Conference on Developmental Learning (ICDL), LaJolla, CA, USA
[ pdf ]
Şimşek, Ö., Wolfe, A.P., and Barto, A.G. (2004)
Local Graph Partitioning as a Basis for Generating Temporally-Extended Actions in Reinforcement Learning
In Proceedings of the AAAI-04 Workshop on Learning and Planning in Markov Processes - Advances and Challenges 2004.
[ ps | pdf | bibtex ]
Osentoski, S., Manfredi, V., Mahadevan, S. (2004)
Learning Hierarchical Models of Activity
IEEE/RSJ International Conference on Robots and Systems (IROS 2004)
[ pdf ]
Si. J., Barto, A. G., Powell, W. B., Wunch D., editors. (2004)
Handbook of Learning and Approximate Dynamic Programming Wiley-IEEE Press, Piscataway, NJ.
Barto, A.G. and Dietterich, T.G. (2004)
Reinforcement Learning and Its Relationship to Supervised Learning
In Si, J., Barto, A.G., Powell, W.B., and Wunsch, D., editors, Handbook of Learning and Approximate Dynamic Programming, Chapter 2, pages 47 - 64. Wiley-IEEE Press, Piscataway, NJ.
Mahadevan, S., Ghavamzadeh, M., Rohanimanesh, K., and Theocharous G. (2004)
Hierarchical Approaches to Concurrency, Multiagency, and Partial Observability
In Si, J., Barto, A.G., Powell, W.B., and Wunsch, D., editors, Handbook of Learning and Approximate Dynamic Programming, Chapter 11, pages 285 - 310. Wiley-IEEE Press, Piscataway, NJ.
Rosenstein, M.T. and Barto, A.G.(2004)
Supervised Actor-Critic Reinforcement Learning
In Si, J., Barto, A.G., Powell, W.B., and Wunsch, D., editors, Handbook of Learning and Approximate Dynamic Programming, Chapter 14, pages 359 - 380. Wiley-IEEE Press, Piscataway, NJ.
[ pdf ]
Rosenstein, M.T. and Barto, A.G. (2004)
Reinforcement learning with supervision by a stable controller
Proceedings of the 2004 American Control Conference, pages 4517-4522
NOTE: for an expanded version of this work, see the book chaper just above (Supervised Actor-Critic Reinforcement Learning).
Rohanimanesh, K., Platt, R., Mahadevan, S., and Grupen, R (2004)
Coarticulation in Markov Decision Processes
18th Annual Conference on Neural Information Processing Systems (NIPS), Vancouver, B.C., Canada, December 2004
[ ps ]
Rohanimanesh, K., Platt, R., Mahadevan, S., and Grupen, R (2004)
A Framework for Coarticulation in Markov Decision Processes
Technical Report 04-33, Department of Computer Science, University of Massachusetts, Amherst, Massachusetts
[ ps | pdf ]
Şimşek, Ö. and Barto, A.G. (2004)
Using Relative Novelty to Identify Useful Temporal Abstractions in Reinforcement Learning
Proceedings of the Twenty-First International Conference on Machine Learning (ICML 2004).
[ ps | pdf | bibtex]
Ghavamzadeh, M. and Mahadevan, S. (2004)
Learning to Act and Communicate in Cooperative Multiagent Systems using Hierarchical Reinforcement Learning
Autonomous Agents and Multiagent Systems (AAMAS 2004).
[ pdf ]
Saria, S. and Mahadevan, S. (2004)
Probabilistic Plan Recognition in Multiagent Systems
International Conference on AI and Planning Systems (ICAPS 2004).
[ pdf ]
Shah, A., Fagg, A. H., and Barto, A. G. (2004)
Cortical Involvement in the Recruitment of Wrist Muscles
Journal of Neurophysiology vol. 91, pages 2445 - 2456
[ pdf | ps | JNP pdf]
Ravindran, B. and Barto, A.G. (2004)
Approximate Homomorphisms: A Framework for Non-exact Minimization in Markov Decision Processes
Proceedings of the Fifth International Conference on Knowledge Based Computer Systems (KBCS 04), Hyderabad, India, December 19--22
[ pdf ]
Ravindran, B. (2004)
An Algebraic Approach to Abstraction in Reinforcement Learning
PhD Dissertation, Department of Computer Science, University of Massachusetts Amherst.
[ pdf ]

[ Top of page ]
2003
Ghavamzadeh, M., Mahadevan, S., and Makar, R. (2003)
Extending Hierarchical Reinforcement Learning to Continuous-Time, Average-Reward, and Multi-Agent Models
Technical Report UM-CS-2003-23, Department of Computer Science, University of Massachusetts, Amherst, MA
[ ps | pdf ]
Ghavamzadeh, M. and Mahadevan, S. (2003)
Hierarchical Average Reward Reinforcement Learning
Technical Report UM-CS-2003-19, Department of Computer Science, University of Massachusetts, Amherst, MA
[ ps | pdf ]
Barto, A. G. and Mahadevan, S. (2003)
Recent Advances in Hierarchical Reinforcement Learning
Discrete Event Dynamic Systems vol. 13(4), pages 341 - 379
[ pdf ]
Rosenstein, M.T. (2003)
Learning To Exploit Dynamics For Robot Motor Coordination
PhD Dissertation, Department of Computer Science, University of Massachusetts Amherst.
[ abstract | pdf ]
Ghavamzadeh, M., Mahadevan, S. (2003)
Hierarchical Policy Gradient Algorithms
Proceedings of the Twentieth International Conference on Machine Learning (ICML 2003).
[ pdf ]
Ravindran, B. and Barto, A. G. (2003)
Relativized Options: Choosing the Right Transformation
Proceedings of the Twentieth International Conference on Machine Learning (ICML 2003)
[ pdf ]
Ravindran, B. and Barto, A.G. (2003)
SMDP Homomorphisms: An Algebraic Approach to Abstraction in Semi Markov Decision Processes
The Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence (IJCAI-03).
[ pdf ]
Ravindran, B. and Barto, A. G. (2003)
An Algebraic Approach to Abstraction in Reinforcement Learning
In the Proceedings of the Twelfth Yale Workshop on Adaptive and Learning Systems, pp. 109-114, Yale University.
[ pdf ]

[ Top of page ]
2002
Barto, A. G. (2002)
Reinforcement learning
In Handbook of Brain Theory and Neural Networks, Second Edition M.A. Arbib (Ed.), pages 963-968. Cambridge: MIT Press..
Barto, A. G. (2002)
Reinforcement learning in motor control
In Handbook of Brain Theory and Neural Networks, Second Edition M.A. Arbib (Ed.), pages 968-972. Cambridge: MIT Press..
McGovern, Amy , Moss, Eliot, and Andrew G. Barto (2002)
Building a Basic Block Instruction Scheduler using Reinforcement Learning and Rollouts
Machine Learning, Special Issue on Reinforcement Learning. Volume 49, Numbers 2/3, Pages 141-160.
[ ps (200K) | gzipped ps (60K) | pdf (160K)]
Fagg, A. H., Shah, A., and Barto, A. G. (2002)
A Computational Model of Muscle Recruitment for Wrist Movements
Journal of Neurophysiology, 88:3348 - 3358
[ ps | pdf | large print pdf ]
Perkins, T.J. (2002)
Lyapunov Methods for Safe Intelligent Agent Design
PhD Dissertation, Department of Computer Science, University of Massachusetts Amherst.
[ ps | pdf ]
Perkins, T.J. and Barto, A.G. (2002)
Lyapunov Design for Safe Reinforcement Learning
Journal of Machine Learning Research (JMLR), vol. 3, pg 803--832, 2002.
[ pdf ]
Rohanimanesh, K., and Mahadevan, S. (2002)
Learning to Take Concurrent Actions
16th Annual Conference on Neural Information Processing Systems (NIPS), Vancouver, Canada, December 2002
[ ps ]
McGovern, Amy (2002)
Autonomous Discovery of Temporal Abstractions from Interaction with an Environment
PhD Dissertation, Department of Computer Science, University of Massachusetts Amherst.
[ ps | gzipped ps | pdf ]
Pickett, M., and Barto, A. G (2002)
PolicyBlocks: An Algortithm for Creating Useful Macro-Actions in Reinforcement Learning
In Proceedings of the Nineteenth International Conference of Machine Learning
[ ps ]
Perkins, T.J., and Pendrith, M.D. (2002)
On the Existence of Fixed Points for Q-Learning and Sarsa in Partially Observable Domains
In Proceedings of the Nineteenth International Conference of Machine Learning, pp. 490--497.
[ ps | pdf ]
Perkins, T.J. (2002)
Reinforcement Learning for POMDPs based on Action Values and Stochastic Optimization
In Proceedings of the Eighteenth National Conference on Artificial Intelligence, pp. 199--204.
[ ps | pdf ]
Ravindran, B. and Barto, A. G. (2002)
Model Minimization in Hierarchical Reinforcement Learning
In the Proceedings of the Fifth Symposium on Abstraction, Reformulation and Approximation (SARA 2002), pp.196-211, LNCS, Springer Verlag.
[ gzipped pdf ]
Bernstein, D.S., Perkins, T.J., Zilberstein, S., and Finkelstein, L. (2002)
Scheduling Contract Algorithms on Multiple Processors
In Proceedings of the Eighteenth National Conference on Artificial Intelligence, pp. 702--706.
[ ps | pdf ]
Shah, A., Fagg, A. H., and Barto, A. G. (2002)
Cortical Involvement in the Recruitment of Wrist Muscles
poster presented at the Neural Control of Movement Conference, April 14-21, 2002, Naples, FL
half-sized (26"x24") poster: [ ps | pdf ]
Kositsky, M. and Barto, A.G. (2002)
The emergence of movement units through learning with noisy efferent signals and delayed sensory feedback
Neurocomputing, 44-46, pp. 889-895, 2002.
[ pdf ]
Kositsky, M. and Barto, A.G. (2002)
Emergence of Multiple Movement Units in the Presence of Noise and Feedback Delay
in Dietterich, T.G., Becker, S., and Ghahramani, Z. (eds.) Advances in Neural Information Processing Systems 14 (NIPS) 2002.
[ pdf ]
Rosenstein, M.T. and Grupen, R.A. (2002)
Velocity-dependentdynamic manipulability
In Proceedings of the IEEE International Conference on Robotics and Automation, vol 3, 2424-2429. XGGG
[ gzipped ps | pdf ]
Ghavamzadeh, M., Mahadevan, S. (2002)
Hierarchically Optimal Average Reward Reinforcement Learning
Proceedings of the Nineteenth International Conference on Machine Learning (ICML-2002).
[ ps ]
Ghavamzadeh, M., Mahadevan, S. (2002)
A Multiagent Reinforcement Learning Algorithm by Dynamically Merging Markov Decision Processes
Proceedings of the First International Joint Conference on Autonomous Agents & Multiagent Systems (AAMAS-2002)
[ ps ]
Arbib, M. A., Fagg, A. H., and Grafton, S. T. (2002)
Synthetic PET Imaging for Grasping: From Primate Neurophysiology to Human Behavior
in Explorative analysis and data modelling in functional neuroimaging,(F. Sommer and A. Wichert, Eds.), Cambridge MA: The MIT Press, pp. 231-250.
[ pdf ]
Houk, J. C., Fagg, A. H., Barto, A. G. (2002)
Fractional Power Damping Model of Joint Motion
in Progress in Motor Control: Structure-Function Relations in Voluntary Movements,(M. Latash, Ed.), vol II, pages 147-178
[ ps ]
Fagg, A. H. and Weitzenfeld, A. (2002)
A Model of Primate Visual-Motor Conditional Learning
in NSL - Neural Simulation Language: Systems and Applications ,(A. Weitzenfeld, M. A. Arbib, and A. Alexander, Eds.), MIT Press
[ ps | pdf ]

[ Top of page ]
2001
Perkins, T.J., and Barto, A.G. (2001)
Lyapunov-Constrained Action Sets for Reinforcement Learning
In Proceedings of the Eighteenth International Conference on Machine Learning, pp. 409--416.
[ ps ]
Perkins, T.J., and Barto, A.G. (2001)
Heuristic Search in Infinite State Spaces Guided by Lyapunov Analysis
In Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence, pp. 242--247.
[ ps | pdf]
Rosenstein, M.T. and Barto, A.G. (2001)
Robot weightlifting by direct policy search
In Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence, vol. 2, 839-844.
[ gzipped ps | pdf ]
Rosenstein, M.T. and Barto, A.G. (2001)
A robotic weightlifter that learns to exploit dynamics
In Studies in Perception and Action VI: Eleventh International Conference on Perception and Action , 25-28.
Rosenstein, M.T. and Barto, A.G. (2001)
From elementary movements to coordination for a robotic weightlifter
In Abstracts of the Third International Symposium on Progress in Motor Control: From Basic Science to Applications, p. 40.
Rohanimanesh, K. and Mahadevan, S. (2001)
Decision-Theoretic Planning with Concurrent Temporally Extended Actions
17th Conference on Uncertainty in Artificial Intelligence (UAI '01), August 3-5, 2001, University of Washington, Seattle, WA, USA
[ ps ]
Ravindran, B. and Barto, A. G. (2001)
Symmetries and Model Minimization of Markov Decision Processes
Computer Science Technical Report 01-43, University of Massachusetts, Amherst, MA.
[ gzipped ps ]
McGovern, Amy , and Andrew G. Barto (2001)
Automatic Discovery of Subgoals in Reinforcement Learning using Diverse Density
In 2001 International Conference on Machine Learning
[ ps (252K) | gzipped ps (160K) ]
Kositsky, M. and Barto, A. G. (2001)
Nonlinear Damping Dynamics and the Variability of Rapid Aimed Movements
Technical Report 01-15, Department of Computer Science, University of Massachusetts, Amherst.
[ gzipped ps | gzipped pdf ]
Kositsky, M. and Barto, A. G. (2001)
Nonlinear Damping Dynamics and the Variability of Rapid Aimed Movements
Poster presented at the 2001 Conference on Neural Control of Movement, Seville, Spain.
one-page poster: [ gzipped ps | gzipped pdf ]
Kositsky, M. and Barto, A. G. (2001)
The emergence of multiple movement through learning with noisy efferent signals and delayed sensory feedback
Tenth Annual Computational Neuroscience Meeting, San Francisco and Pacific Grove, California, 2001.
[ pdf ]
Kositsky, M. and Barto, A. G. (2001)
Reinforcement learning model for noisy environment and delayed feedback: natural emergence of movement units
Fifth International Conference on Cognitive and Neural Systems, Boston, Massachusetts, 2001.
Shah, A., Fagg, A. H., and Barto, A. G. (2001)
A Computational Model of Muscle Recruitment for Wrist Movements,
poster presented at Neural Control of Movement Conference, March 25-30, 2001, Seville, Spain
half-sized (18"x31") poster: [ ps | pdf ]
Jonsson, A. and Barto, A. G. (2001)
Automated State Abstraction for Options using the U-Tree Algorithm
In Advances in Neural Processing Information Systems 13, Cambridge, MA: MIT Press.
[ gzipped ps ]
Schlesinger, M., and Parisi, D. (2001)
The agent-based approach: A new direction for computational models of development
Developmental Review, 21, pp 121--146.
[ gzipped ps ]
Engelbrecht, S.E. (2001)
Minimum Principles in Motor Control
Journal of Mathematical Psychology, 45:497-542.
[ pdf | ps ]
Ghavamzadeh, M., Mahadevan, S. (2001)
Continuous-Time Hierarchical Reinforcement Learning
Proceedings of the Eighteenth International Conference on Machine Learning (ICML-2001)
[ ps ]
Makar, R., Mahadevan, S., Ghavamzadeh, M. (2001)
Hierarchical Multi-Agent Reinforcement Learning
Proceedings of the Fifth International Conference on Autonomous Agents 2001.
[ ps ]
Davis, J.A., Fagg, A.H., and Levine, B.N. (2001)
Wearable Computers as Packet Transport Mechanisms in Highly-Partitioned Ad-Hoc Networks
Proceedings of the International Symposium on Wearable Computing, Zurich, Switzerland, October 2001, pp. 141-148.
[ ps ]

[ Top of page ]
2000
J. Randløv, A.G. Barto, and M.T. Rosenstein (2000)
Combining reinforcement learning with a local control algorithm
In Proceedings of the Seventeenth International Conference on Machine Learning, 775-782.
[ gzipped ps | pdf ]
Precup, D. (2000)
Temporal Abstraction in Reinforcement Learning
Ph.D. Dissertation, Department of Computer Science, University of Massachusetts, Amherst.
[ gzipped ps ]
R. Moll, T. Perkins, and A. Barto (2000)
Machine Learning for Subproblem Selection
Proceedings of the Seventeenth International Conference on Machine Learning (ICML-2000), P. Langley (Ed.),Morgan Kaufmann, San Francisco,CA, pp. 615-622.
[ ps ]
Precup, D., Sutton, R. S. and Singh, S. (2000)
Eligibility Traces for Off-Policy Policy Evaluation
In Proceedings of the Seventeenth Conference on Machine Learning (ICML 2000), pp. 759--766. Morgan Kaufman.
[ ps ]
Schlesinger, M., Parisi, D., and Langer, J. (2000)
Learning to reach by constraining the movement search space
Developmental Science, 3, 67-80.
[ gzipped ps ]
Berthier, N.E., Barto, A.G., and Schlesinger, M. (2000)
Learning and dynamics
Proceedings of the NSF DARPA Conference on Learning and Development
[ pdf ]
Fagg, A.H. (2000)
A Model of Muscle Geometry for a Two Degree-Of-Freedom Planar Arm
Technical Report #00-03, Department of Computer Science, University of Massachusetts, Amherst
[ ps ]

[ Top of page ]
1999
R. Moll, A. Barto, T. Perkins, and R. Sutton (1999)
Learning Instance-Independent Value Functions to Enhance Local Search
Advances in Neural Information Processing Systems 11 (NIPS11), M. S. Kearns, S. A. Solla, and D. A. Cohn (Eds.), Cambridge, MA: MIT Press, 1999, pp. 1017-1023.
[ ps ]
Sutton, R. S., Precup, D., and Singh, S. (1999)
Between MDPs and semi-MDPs: A Framework for Temporal Abstraction in Reinforcement Learning
In Artificial Intelligence, vol. 112, pp.181-211.
[ pdf | gzipped ps ]
An earlier version appeared as Technical Report UM-CS-1998-74, Department of Computer Science, University of Massachusetts, Amherst, MA 01003-4610.
[ ps ]
Schlesinger, M., and Langer, J. (1999)
Infants' developing expectations of possible and impossible tool-use events between ages 8 and 12 months
Developmental Science, 2, 195-205.
[ gzipped ps ]
Schlesinger, M., and Barto, A. (1999)
Optimal control methods for simulating the perception of causality in young infants
Proceedings of the Twenty First Annual Conference of the Cognitive Science Society, pp. 625-630. New Jersey: Lawrence Erlbaum.
[ gzipped ps ]
McGovern, Amy, Moss, Eliot, and Barto, Andrew G. (1999)
Basic-block Instruction Scheduling Using Reinforcement Learning and Rollouts
Proceedings of the 1999 IJCAI workshop on learning and optimization.
[ ps ]
Sutton, R. S., Singh, S., Precup, D., and Ravindran, B. (1999)
Improved Switching among Temporally Abstract Actions
In Advances in Neural Information Processing Systems 11 (Proceedings of NIPS'98), pp.1066-1072. MIT Press.
[ ps ]
McGovern, Amy, and Moss, Eliot (1999)
Scheduling Straight-Line Code Using Reinforcement Learning and Rollouts
Proceedings of the 11th Neural Information Processing Systems Conference (NIPS '98), pages 903-909.
[ ps ]
Barto, A. G, Fagg, A. H., Sitkoff, N., and Houk, J. C. (1999)
A Cerebellar Model of Timing and Prediction in the Control of Reaching
Neural Computation, vol. 11, pp. 565-594.
[ ps | pdf ]

[ Top of page ]
1998
Sutton, Richard S., and Barto, Andrew G. (1998)
Reinforcement Learning: An Introduction
MIT Press.
[ Local Website | MIT Press Site for this book ]
McGovern, Amy (1998)
acQuire-macros: An Algorithm for Automatically Learning Macro-actions
In the Neural Information Processing Systems Conference (NIPS '98) workshop on Abstraction and Hierarchy in Reinforcement Learning
[ ps ]
Crites, R. H., and Barto, A. G (1998)
Elevator Group Control Using Multiple Reinforcement Learning Agents
Machine Learning 33: 235-262.
[ gzipped ps ]
McGovern, Amy, and Sutton, Richard S. (1998)
Macro-Actions in Reinforcement Learning: An Empirical Analysis
Master's thesis and University of Massachusetts, Amherst Technical Report 98-70
[ ps ]
Fagg, A. H., Zelevinsky, L., Barto, A. G., and Houk, J. C. (1998)
A Pulse-Step Model of Control for Arm Reaching Movements
Proceedings of the Spring Meeting on the Neural Control of Movement.
Fagg, A. H., Barto, A. G., and Houk, J. C.(1998)
Learning to Reach Via Corrective Movements
Proceedings of the Tenth Yale Workshop on Adaptive and Learning Systems, New Haven, CT.
[ ps | html ]
McGovern, Amy, Precup, Doina, Ravindran, B., Singh, Satinder, and Sutton, Richard S. (1998)
Hierarchical Optimal Control of MDPs
Proceedings of the Tenth Yale Workshop on Adaptive and Learning Systems, pp.186-191.
[ ps ]
Sutton, R. S., Precup, D., and Singh, S. (1998)
Intra-Option Learning about Temporally Abstract Actions
In Proceedings of the Fifteenth International Conference on Machine Learning (ICML'98), pp.556-564. Morgan Kaufman.
[ ps ]
Precup, D., Sutton, R. S., and Singh, S. (1998)
Theoretical Results on Reinforcement Learning with Temporally Abstract Behaviors
In Machine Learning: ECML-98. 10th European Conference on Machine Learning, Chemnitz, Germany, April 1998. Proceedings, pp. 382-393. Springer Verlag.
[ ps ]
Precup, D., and Sutton, R. S. (1998)
Multi-Time Models for Temporally Abstract Planning
In Advances in Neural Information Processing Systems 10 (Proceedings of NIPS'97), pp. 1050-1056. MIT Press.
[ ps ]
Fagg, A. H., Lotspeich, D. L., Hoff, J. Bekey, G. A. (1998)
Rapid Reinforcement Learning for Reactive Control Policy Design for Autonomous Robots
in Artificial Life in Robotics , (T. Shibata and T. Fukuda, Eds.)
[ ps | pdf]

[ Top of page ]
1997
McGovern, Amy, Sutton, Richard S., and Fagg, Andrew H. (1997)
Roles of Macro-Actions in Accelerating Reinforcement Learning
1997 Grace Hopper Celebration of Women in Computing.
[ ps ]
Precup, D., Sutton, R. S., and Singh, S. (1997)
Planning with Closed-Loop Macro Actions
In Working Notes of the AAAI Fall Symposium '97 on Model-directed Autonomous Systems, pp. 70-76.
[ ps ]
Precup, D., and Sutton, R. S. (1997)
Multi-Time Models for Reinforcement Learning
Proceedings of the ICML'97 Workshop on Modelling in Reinforcement Learning.
[ ps ]
Precup, D., and Sutton, R. S. (1997)
Exponentiated Gradient Methods for Reinforcement Learning
Proceedings of the 14th International Conference on Machine Learning, ICML'97, Morgan Kaufmann, pp.272-277.
[ ps ]
R. E. Kettner, S. Mahamud, H. -C. Leung, N. Sitkoff, Houk, J. C., B. W. Peterson, and Barto, A. G. (1997)
Prediction of Complex Two-Dimensional Trajectories by the Eye and by a Cerebellar Model of Smooth Eye Movements
Journal of Neurophysiology, 77:2115-2130
[ ps | pdf ]
Fagg, A. H., Sitkoff, N., Barto, A. G., and Houk, J. C. (1997)
Cerebellar Learning for Control of a Two-Link Arm in Muscle Space
Proceedings of the IEEE Conference on Robotics and Automation, May, pp. 2638-2644.
[ gzipped ps ]
Fagg, A. H., Zelevinsky, L., Barto, A. G., and Houk, J. C. (1997)
Using Crude Movements to Learn Accurate Motor Programs for Reaching
Presented at the NIPS workshop: Can Artificial Cerebellar Models Compete to Control Robots? Dec. 5, Breckenridge, CO.
[ ps ]
Fagg, A. H., Sitkoff, N., Barto, A. G., and Houk, J. C. (1997)
A Computational Model of Cerebellar Learning for Limb Control
Proceedings of the Spring 1997 Meeting of the Neural Control of Movement.
[ gzipped ps poster text ]
Fagg, A. H., Sitkoff, N., Barto, A. G., and Houk, J. C. (1997)
A Model of Cerebellar Learning for Control of Arm Movements Using Muscle Synergies
Proceedings of the IEEE International Symposium on Computational Intelligence in Robotics and Automation, July 10-11, pp. 6-12.
[ gzipped ps ]
A. H. Fagg, N. Sitkoff, A. G. Barto, and Houk, J. C. (1997)
Cerebellar Learning for Control of a Two-Link Arm in Muscle Space
Proceedings of the IEEE Conference on Robotics and Automation (ICRA), May, pages 2638-2644.
[ gzipped ps ]

[ Top of page ]
1996
Bradke, S.J. and Barto, A.G. (1996)
Linear Least-Squares Algorithms for Temporal DIfference Learning
Machine Learning 22(1-3):33--57, 1996
[ pdf ]
Singh, S.P. and Sutton, R.S. (1996)
Reinforcement Learning with Replacing Eligibility Traces
Machine Learning 22(1-3):123--158, 1996
[ pdf ]
Precup, D., and Sutton, R. S. (1996)
Empirical Comparison of Gradient Descent and Exponentiated Gradient Descent in Supervised and Reinforcement Learning
Technical Report UM-CS-1996-070, Department of Computer Science, University of Massachusetts, Amherst, MA 01003.
[ ps ]
Houk, J.C., Buckingham, J.T., and Barto, A.G. (1996)
Models of the Cerebellum and Motor Learning
Behavioral and Brain Sciences vol. 19, pages 368-383.
[ pdf | ps ] (NOTE: These are pdf/ps copies of an unofficial online version that does not include figures. They were provided to give you an idea of the paper, but please go through the journal for the official version. Thanks.)

[ Top of page ]
1995
A. G. Barto, J. T. Buckingham, and Houk, J. C. (1995)
A Predictive Switiching Model of Cerebellar Movement Control
Neural Information Processing Systems 8, MIT Press, 1995, pp. 138-144.
[ gzipped ps ]
R. H. Crites, and A. G. Barto (1995)
Improving Elevator Performance Using Reinforcement Learning
Neural Information Processing Systems 8, MIT Press, 1995, pp. 1017-1023.
[ zipped ps ]
Houk, J. C., J. L. Adams, and Barto, A. G. (1995)
A model of how the basal ganglia generates and uses neural signals that predict reinforcement
In Models of Information Processing in the Basal Ganglia, J. C. Houk, J. Davis, and D. Beiser (Eds.), Cambridge, MA: MIT Press, 1995, pp. 249-270.
A. G. Barto (1995)
Adaptive critics and the basal ganglia
In Models of Information Processing in the Basal Ganglia, J. C. Houk, J. Davis, and D. Beiser (Eds.), Cambridge, MA: MIT Press, 1995, pp. 215-232.
[ ps | pdf ] (note: this version is missing one figure)
J. T. Buckingham, Barto, A. G., and Houk, J. C. (1995)
Adaptive Predictive Control with a Cerebellar Model
In Proceedings of the 1995 World Congress on Neural Networks, Volume 1, Lawrence Erlbaum Associates, Inc: Mahwah, NJ, 1995, pp. 373-380
M. Duff (1995)
Q-Learning for bandit problems
In A. Prieditis and S. Russell, editors, Machine Learning: Proceedings of the Twelfth International Conference on Machine Learning (ML95), Morgan Kaufmann: Tahoe City, CA, 1995, pp. 209-217.
Barto, A. G. (1995)
Reinforcement learning and dynamic programming
Presented at IFAC'95, Conference on Man-Machine Systems, Cambridge, MA, June 1995.
A. G. Barto, S. J. Bradtke, and S. P. Singh (1995)
Learning to act using real-time dynamic programming
Artificial Intelligence, Special Volume on Computational Research on Interaction and Agency,
72(1): 81-138, 1995.
[ gzipped ps ]
- (Reprinted in Computational Theories of Interaction and Agency, P. E. Agre & S. J. Rosenschein (Eds.), Cambridge, MA: MIT Press, 1996.)
- (Also appeared as CMPSCI Technical Report 93-02, University of Massachusetts, January 1993. (Supercedes TR 91-57.))
Crites RH, and Barto, A. G. (1995)
An Actor/Critic Algorithm that is Equivalent to Q-Learning
NIPS 7.
[ zipped ps ]
Bradtke, Steven J. and Duff, Michael O. (1995)
Reinforcement Learning Methods for Continuous-Time Markov Decision Problems
NIPS 7.

[ Top of page ]
1994
Singh, S. P. (1994)
Learning to Solve Markovian Decision Processes
Ph.D Thesis
[ zipped ps ]
Singh, S. P., Jaakkola, T., and Jordan, M. (1994)
Reinforcement Learning With Soft State Aggregation
NIPS-7
[ zipped ps ]
Singh, S. P. (1994)
Reinforcement Learning Algorithms for Average-Payoff Markovian Decision Processes
AAAI-94
[ zipped ps ]
Singh, S. P., Jaakkola, T., and Jordan, M. (1994)
Learning Without State-Estimation in Partially Observable Markovian Decision Processes
ML-94
[ zipped ps ]
Sutton, R. S., and Singh, S. P. (1994)
On Step-Size and Bias in Temporal-Difference Learning
Eighth Yale Workshop
[ zipped ps ]
Jaakkola, T., Jordan, M., and Singh, S. P. (1994)
On the Convergence of Stochastic Iterative Dynamic Programming Algorithms
Neural Computation
[ zipped ps ]
J. T. Buckingham, J. C. Houk, and A. G. Barto (1994)
Controlling a nonlinear spring-mass system with a cerebellar model
8th Yale Workshop on Adaptive and Learning Systems, Yale University, June 1994. pp. 1-6.
S. J. Bradtke, A. G. Barto, and B. E. Ydstie (1994)
A reinforcement learning method for direct adaptive linear quadratic control
8th Yale Workshop on Adaptive and Learning Systems, Yale University, June 1994. pp. 85-96.
V. Gullapalli and A. Barto (1994)
Convergence of indirect adaptive asynchronous value iteration algorithms
In Advances in Neural Information Processing Systems 6, J.D. Cowan, G. Tesauro and J. Alspector (Eds.), San Francisco: Morgan Kauffmann, 1994. pp. 695-702.
A. Barto and M. Duff (1994)
Monte Carlo matrix inversion and reinforcement learning
In Advances in Neural Information Processing Systems 6, J.D. Cowan, G. Tesauro and J. Alspector (Eds.), San Francisco: Morgan Kauffmann, 1994. pp. 687-694.
S. P. Singh, A. G. Barto, R. Grupen, and C. Connolly (1994)
Robust reinforcement learning in motion planning
In Advances in Neural Information Processing Systems 6, J.D. Cowan, G. Tesauro and J. Alspector (Eds.), San Francisco: Morgan Kauffmann, 1994. pp. 655-662.
V. Gullapalli, A. G. Barto, and R. A. Grupen (1994)
Learning admittance mappings for force-guided assembly
Proceedings of the 1994 International Conference on Robotics and Automation, 1994, pp. 2633-2638.
V. Gullapalli, J. A. Franklin, and H. Benbrahim (1994)
Acquiring robot skills via reinforcement learning
IEEE Control Systems Special Issue on Robotics: Capturing Natural Motion, 4(1): 13-24, Feb. 1994.
Grupen RA, Coelho, J. A., Connolly, C. I., Gullapalli, V., Huber, M., and Souccar, K. (1994)
Toward Physical Interaction and Manipulation: Screwing in a Light Bulb
AAAI 1994 Spring Symposium on Physical Interaction and Manipulation.
[ zipped ps ](large file)
T. W. Sandholm and R. H. Crites (1994)
Multiagent Reinforcement Learning in the Iterated Prisoner's Dilemma
Submitted to Biosystems Journal, November 1994.
S. J. Bradtke and A. G. Barto (1994)
New Algorithms for Temporal Difference Learning
Machine Learning, 108, Special Issue on Reinforcement Learning.
Singh, S. P., and Yee, R. C. (1994)
An Upper Bound on the Loss from Approximate Optimal-Value Functions
Machine Learning
[ zipped ps ]
Barto, A. G. (1994)
Reinforcement Learning Control
Current Opinion in Neurobiology, 4:888-893, 1994.
V. Gullapalli (1994)
Skillful Control Under Uncertainty via Direct Reinforcement Learning
(Submitted to Robotics and Autonomous Systems.)
N. Berthier, R. Clifton, V. Gullapalli, D. McCall, and D. Rubin (1994)
Visual information and object size in the control of reaching
(Submitted.)
V. Gullapalli (1994)
Direct associative reinforcement learning methods for dynamic systems control
(Submitted to Neurocomputing.)
S. J. Bradtke (1994)
Incremental Dynamic Programming for On-Line Adaptive Optimal Control
(Ph.D. Thesis) CMPSCI Technical Report 94-62, University of Massachusetts, August 1994.
Barto, A. G. (1994)
Learning as hillclimbing in weight space
In Handbook of Brain Theory and Neural Networks, M.A. Arbib (Ed.), Cambridge: MIT Press..
Barto, A. G. (1994)
Reinforcement learning in motor control
In Handbook of Brain Theory and Neural Networks, M.A. Arbib (Ed.), Cambridge: MIT Press..
Barto, A. G.(1994)
Reinforcement Learning
In Handbook of Brain Theory and Neural Networks, M.A. Arbib (Ed.), Cambridge: MIT Press..
M. Duff (1994)
Solving Bellman's Equation by the method of continuity
Proceedings of the 1994 American Control Conference, Baltimore, June 1994.
S. J. Bradtke, B. E. Ydstie, and A. G. Barto (1994)
Adaptive linear quadratic control using policy iteration
CMPSCI Technical Report 94-49, University of Massachusetts, June 1994. Submitted to IEEE Transactions on Automatic Control, April 1994.
S. Bradtke and M. Duff (1994)
Reinforcement learning methods for continuous-time Markov decision problems
7th Annual Conference on Neural Information Processing Systems (NIPS 7), November 1994.

before 1994

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