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» Metric learning for reinforcement learning agents
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ATAL
2009
Springer
15 years 7 months ago
Learning with whom to communicate using relational reinforcement learning
Marc J. V. Ponsen, Tom Croonenborghs, Karl Tuyls, ...
AGENTS
2001
Springer
15 years 5 months ago
Using background knowledge to speed reinforcement learning in physical agents
This paper describes Icarus, an agent architecture that embeds a hierarchical reinforcement learning algorithm within a language for specifying agent behavior. An Icarus program e...
Daniel G. Shapiro, Pat Langley, Ross D. Shachter
104
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ATAL
2004
Springer
15 years 5 months ago
Time-Extended Policies in Multi-Agent Reinforcement Learning
Many algorithms such as Q-learning successfully address reinforcement learning in single-agent multi-time-step problems. In addition there are methods that address reinforcement l...
Kagan Tumer, Adrian K. Agogino
ATAL
2010
Springer
15 years 1 months ago
Combining manual feedback with subsequent MDP reward signals for reinforcement learning
As learning agents move from research labs to the real world, it is increasingly important that human users, including those without programming skills, be able to teach agents de...
W. Bradley Knox, Peter Stone
105
Voted
PKDD
2009
Springer
181views Data Mining» more  PKDD 2009»
15 years 7 months ago
Active Learning for Reward Estimation in Inverse Reinforcement Learning
Abstract. Inverse reinforcement learning addresses the general problem of recovering a reward function from samples of a policy provided by an expert/demonstrator. In this paper, w...
Manuel Lopes, Francisco S. Melo, Luis Montesano