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» Algorithms for Inverse Reinforcement Learning
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ICML
2000
IEEE
16 years 1 months ago
Algorithms for Inverse Reinforcement Learning
Andrew Y. Ng, Stuart J. Russell
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
ICML
2004
IEEE
16 years 1 months ago
Apprenticeship learning via inverse reinforcement learning
We consider learning in a Markov decision process where we are not explicitly given a reward function, but where instead we can observe an expert demonstrating the task that we wa...
Pieter Abbeel, Andrew Y. Ng
SIGGRAPH
2010
ACM
15 years 4 months ago
Learning behavior styles with inverse reinforcement learning
We present a method for inferring the behavior styles of character controllers from a small set of examples. We show that a rich set of behavior variations can be captured by dete...
Seong Jae Lee, Zoran Popovic
IJCAI
2007
15 years 1 months ago
Bayesian Inverse Reinforcement Learning
Inverse Reinforcement Learning (IRL) is the problem of learning the reward function underlying a Markov Decision Process given the dynamics of the system and the behaviour of an e...
Deepak Ramachandran, Eyal Amir