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LAMAS
2005
Springer
16 years 29 days ago
Multi-agent Relational Reinforcement Learning
In this paper we report on using a relational state space in multi-agent reinforcement learning. There is growing evidence in the Reinforcement Learning research community that a r...
Tom Croonenborghs, Karl Tuyls, Jan Ramon, Maurice ...
EWRL
2008
15 years 9 months ago
Bayesian Reward Filtering
A wide variety of function approximation schemes have been applied to reinforcement learning. However, Bayesian filtering approaches, which have been shown efficient in other field...
Matthieu Geist, Olivier Pietquin, Gabriel Fricout
GECCO
2004
Springer
122views Optimization» more  GECCO 2004»
16 years 25 days ago
Gradient-Based Learning Updates Improve XCS Performance in Multistep Problems
This paper introduces a gradient-based reward prediction update mechanism to the XCS classifier system as applied in neuralnetwork type learning and function approximation mechani...
Martin V. Butz, David E. Goldberg, Pier Luca Lanzi
300
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ML
2011
ACM
152views Machine Learning» more  ML 2011»
14 years 10 months ago
Characterizing reinforcement learning methods through parameterized learning problems
Shivaram Kalyanakrishnan, Peter Stone