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ICMLA
2010
13 years 10 months ago
Multi-Agent Inverse Reinforcement Learning
Learning the reward function of an agent by observing its behavior is termed inverse reinforcement learning and has applications in learning from demonstration or apprenticeship l...
Sriraam Natarajan, Gautam Kunapuli, Kshitij Judah,...
PKDD
2009
Springer
181views Data Mining» more  PKDD 2009»
14 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
ICML
2000
IEEE
15 years 1 months ago
Algorithms for Inverse Reinforcement Learning
Andrew Y. Ng, Stuart J. Russell