Temporal-difference networks with history

IJCAI International Joint Conference on Artificial Intelligence

Volumn , Issue , 2005, Pages 865-870

  Tanner, Brian ^a   Sutton, Richard S ^a  

^a UNIVERSITY OF ALBERTA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

PARTIALLY OBSERVABLE MARKOV DECISION PROCESS; SINGLE-BIT; TEMPORAL DIFFERENCES; WORLD KNOWLEDGE;

ARTIFICIAL INTELLIGENCE;

EID: 84880719406     PISSN: 10450823     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

1. Herbert Jaeger. Discrete-time, discrete-valued observable operator models: a tutorial. Technical report, German National Research Center for Information Technology, 1998.
2. M.L. Littman, R. S. Sutton, and S. Singh. Predictive representations of state. In Advances in Neural Information Processing Systems 14, Cambridge, MA, 2002. MIT Press.
3. Matthew Rosencrantz, Geoff Gordon, and Sebastian Thrun. Learning low dimensional predictive representations. In ICML '04: Twenty-first international conference on Machine learning. ACM Press, 2004.
4. Satinder Singh, Michael R. James, and Matthew R. Rudary. Predictive state representations: A new theory for modeling dynamical systems. In Uncertainty in Artificial Intelligence: Proceedings of the Twentieth Conference, pages 512-519, 2004.
5. Satinder Singh. Private communication, 2004.
6. Richard S. Sutton and Brian Tanner. Temporal-difference networks. In Advances in Neural Information Processing Systems 17, pages 1377-1384, Cambridge, MA, 2005. MIT Press.