Publications on Average-reward/Undiscounted methods
Beleznay,
Ferenc
, Tamas Grobler, Csaba Szepesvari( beleznay@cs.elte.hu)
Comparing Value-Function Estimation Algorithms in Undiscounted Problems
unpublished
( gzipped Postscript - 104)
Abstract:
We compare scaling properties of several value-function estimation algorithms.
In particular, we pr...
Boutilier,
Craig
, Martin L. Puterman ( cebly@cs.ubc.co)
Process-Oriented
Planning and Average-Reward Optimality
IJCAI-95
( gzipped Postscript - 47 KB)
Abstract:
We argue that many AI planning problems should be viewed as
process-oriented, where the aim...
Garcia,
Frédérick
, Seydina Ndiaye( fgarcia@toulouse.inra.fr)
A Learning Rate Analysis of Reinforcement Learning Algorithms in Fine-Horizon
ICML'98
( gzipped Postscript - 96 KB)
Abstract:
In this article we consider the particular framework of non-stationary
finite-horizon Markov Decis...
Mahadevan,
Sridhar
( mahadeva@cps.msu.edu)
Average Reward Reinforcement Learning:
Foundations, Algorithms, and Empirical Results
Machine Learning ,
Special Issue on Reinforcement Learning (edited by Leslie Kaebling), vol.
22, pp. 159-196, 1996.
(compressed Postscript - )
Abstract:
This paper presents a detailed study of average reward reinforcement
learning, an undiscounted opti...
Ok,
DoKyeong
, Prasad Tadepalli( tadepall@cs.orst.edu)
Auto-exploratory average reward reinforcement learning
Proceedings of AAAI-96
(Postscript - 130 KB)
Abstract:
We introduce a model-based average-reward Reinforcement Learning
method called H-learning and compa...
Singh,
Satinder
( baveja@cs.colorado.edu)
Reinforcement Learning Algorithms for Average-Payoff Markovian
Decision Processes
Proceedings of the Twelth National Conference on Artificial
Intelligence
( gzipped Postscript - 85 KB)
Abstract:
Reinforcement learning (RL) has become a central paradigm for
solving learning-control problems in ...
Tadepalli,
Prasad
, DoKyeong OkE-mail: tadepall@cs.orst.edu
Scaling up average reward reinforcement learning by approximating
the domain models and the value function
Proceedings of the Thirteenth International Conference on Machine Learning, pages 471-479. Morgan Kaufmann, 1996
(Postscript - )
Abstract:
Almost all the work in Average-reward Reinforcement Learning (ARL) so
far has focused on table-base...
Tadepalli,
Prasad
, DoKyeong OkE-mail: tadepall@cs.orst.edu
Model-based Average Reward Reinforcement Learning
Artificial Intelligenec
(Postscript - 53 pages)
Abstract:
Reinforcement Learning (RL) is the study of programs that improve their
performance by receiving re...