A planning algorithm for predictive state representations

IJCAI International Joint Conference on Artificial Intelligence

Volumn , Issue , 2003, Pages 1520-1521

  Izadi, Masoumeh T ^a   Precup, Doina ^a  

^a MCGILL UNIVERSITY   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

PARTIALLY OBSERVABLE ENVIRONMENTS; PARTIALLY OBSERVABLE MARKOV DECISION PROCESS; PLANNING ALGORITHMS; POLICY ITERATION ALGORITHMS; PREDICTIVE STATE REPRESENTATION; SEQUENCE OF ACTIONS; STATE REPRESENTATION; STOCHASTIC ENVIRONMENT;

ARTIFICIAL INTELLIGENCE;

ALGORITHMS;

EID: 44649172533     PISSN: 10450823     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (4)

1. A. R. Cassandra, L. P. Kaelbling, and M. L. Littman. Acting Optimally in Partially Observable Stochastic Domains. In Proceedings of the Twelfth National Conference on Artificial Intelligence, 1994.
2. L. Littman. Algorithms for Sequential Decision Making. PhD thesis, Brown University, Providence, RI, March 1996.
3. M. L. Littman, R. S Sutton, and S. Singh. Predictive representations of state. Advances in Neural Information Processing Systems 14. (Proceedings of the 2001 conference). MIT Press.
4. R. Parr, S. Russell. Approximating Optimal Policies for Partially Observable Stochastic Domains. In Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence (IJCA1-95).