Inverse reinforcement learning in partially observable environments

IJCAI International Joint Conference on Artificial Intelligence

Volumn , Issue , 2009, Pages 1028-1033

  Choi, Jaedeug ^a   Kim, Kee Eung ^a  

^a Korea Advanced Institute of Science and Technology (KAIST)   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

INVERSE PROBLEMS; MACHINE LEARNING; MARKOV PROCESSES;

INVERSE REINFORCEMENT LEARNING; ISSUES AND CHALLENGES; MARKOV DECISION PROCESSES; PARTIALLY OBSERVABLE ENVIRONMENTS; REALISTIC SCENARIO; REWARD FUNCTION;

REINFORCEMENT LEARNING;

EID: 78751695440     PISSN: 10450823     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

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12. Brian D. Ziebart, Andrew Maas, J. Andrew Bagnell, and Anind K. Dey. Maximum entropy inverse reinforcement learning. In Proceedings of AAAI, 2008.