Monte Carlo Off-Policy Reinforcement Learning: A Rough Set Approach

Authors:
James F. Peters;Daniel Lockery;Sheela Ramanna
Affiliations:
University of Manitoba, Canada;University of Manitoba, Canada;University of Winnipeg, Manitoba, Canada
Venue:
HIS '05 Proceedings of the Fifth International Conference on Hybrid Intelligent Systems
Year:
2005

Citing 0
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Approximation spaces in off-policy Monte Carlo learning

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Abstract

During the last few years, there has been an increasing interest in using heuristic search algorithms based on natural selection (the so-called "evolutionary algorithms") for solving a wide variety of problems. As in any other discipline, research on ...