Submitted Papers
The following is a selection of submitted papers accepted at the workshop. They will be presented in poster format during the poster session that will conclude the workshop.
Bernstein, D., and Zilberstein, Z. Reinforcement Learning for Weakly-Coupled MDPs and an Application to Planetary Rover Control (postscript)
Engel, Y., and Mannor, S. On Finding Good State Aggregation Functions (postscript)
Hengst, B. Learning Hierarchical Decomposition for Factored MDPs (postscript)
Kennedy, W., and De Jong, K. Some Insights into the Behavior of Long-term Learning in Soar (postscript)
Kemp, S. Disambiguating Plans using Hierarchical Descriptions of Environments (postscript)
McGovern, A., and Barto, A. Linear Discriminant Diverse Density for Automatic Discovery of Subgoals in Reinforcement Learning (postscript)
Perkins, T. Action Value Based Reinforcement Learning for POMDPs (postscript)
Pineau, J., Roy, N., and Thrun, S. A hierarchical Approach to POMDP Planning and Execution (postscript)
Schoknecht, R. Hierarchical Reinforcement Learning with Multi-step Actions (postscript)
Shelton, C. Importance Sampling Estimates for Policies with Memory (postscript)
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Last updated: January 30, 2001