Using predictive representations to improve generalization in reinforcement learning

IJCAI International Joint Conference on Artificial Intelligence

Volumn , Issue , 2005, Pages 835-840

  Rafols, Eddie J ^a   Ring, Mark B ^a   Sutton, Richard S ^a   Tanner, Brian ^a  

^a UNIVERSITY OF ALBERTA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

NAVIGATION TASKS; POSSIBLE FUTURES; RECENT RESEARCHES;

ARTIFICIAL INTELLIGENCE;

REINFORCEMENT LEARNING;

EID: 84880714731     PISSN: 10450823     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

1. Masoumeh T. Izadi and Doina Precup. A planning algorithm for predictive state representations. In Georg Gottlob and Toby Walsh, editors, IJCAI, pages 1520-1521. Morgan Kaufmann, 2003.
2. Michael R. James, Satinder Singh, and Michael L. Littman. Planning with predictive state representations. In ICMLA-04, Proceedings of the International Conference on Machine Learning and Applications, pages 304-311, 2004.
3. Michael L. Littman, Richard S. Sutton, and Satinder Singh. Predictive representations of state. In Advances in Neural Information Processing Systems 14. MIT Press, 2002.
4. Andrew Kachites McCallum. Reinforcement Learning with Selective Perception and Hidden State. PhD thesis, Department of Computer Science, University of Rochester, Rochester, New York, August 1996.
5. Matthew W. Mitchell. Using markov-k memory for problems with hidden-state. In Hamid R. Arabnia and Elena B. Kozerenko, editors, MLMTA, pages 242-248. CSREA Press, 2003.
6. Mark B. Ring. Continual Learning in Reinforcement Environments. PhD thesis, University of Texas at Austin, Austin, Texas 78712, August 1994.
7. Ronald L. Rivest and Robert E. Schapire. Diversity-based inference of finite automata. J. ACM, 41(3):555-589, 1994.
8. Richard S. Sutton and Andrew G. Barto. Reinforcement Learning: An Introduction. MIT Press, Cambridge, MA, 1998.
9. Richard S. Sutton and Brian Tanner. Temporal-difference networks. In Advances in Neural Information Processing Systems 17. MIT Press, 2005.