A nonlinear predictive state representation

Advances in Neural Information Processing Systems

Volumn , Issue , 2004, Pages

  Rudary, Matthew R ^a   Singh, Satinder ^a  

^a UNIVERSITY OF MICHIGAN   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DETERMINISTIC DYNAMICAL SYSTEMS; E-TESTS; PARTIALLY OBSERVABLE MARKOV DECISION PROCESS; PREDICTIVE STATE REPRESENTATION; PSR MODELS;

DYNAMICAL SYSTEMS;

EID: 31844454358     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

1. Ronald L. Rivest and Robert E. Schapire. Diversity-based inference of finite automata. Journal of the ACM, 41(3):555-589, May 1994.
2. Michael L. Littman, Richard S. Sutton, and Satinder Singh. Predictive representations of state. In Advances In Neural Information Processing Systems 14, 2001.
3. William S. Lovejoy. A survey of algorithmic methods for partially observed markov decision processes. Annals of Operations Research, 28(1):47-65, 1991.
4. Michael L. Littman. Algorithms for Sequential Decision Making. PhD thesis, Brown University, 1996.
5. Herbert Jaeger. Observable operator models for discrete stochastic time series. Neural Computation, 12(6):1371-1398, 2000.
6. Satinder Singh, Michael L. Littman, Nicholas E. Jong, David Pardoe, and Peter Stone. Learning predictive state representations. In The Twentieth International Conference on Machine Learning (ICML-2003), 2003. To appear.