Learning in Zero-Sum Team Markov Games Using Factored Value Functions

NIPS 2002: Proceedings of the 15th International Conference on Neural Information Processing Systems

Volumn , Issue , 2002, Pages 1627-1634

  Lagoudakis, Michail G ^a   Parr, Ronald ^a  

^a Duke University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

MULTI AGENT SYSTEMS;

COMMUNICATION BANDWIDTH; COMMUNICATION BETWEEN AGENTS; COMPUTATIONAL RESOURCES; EXPONENTIALS; JOINT ACTIONS; MARKOV GAMES; MULTIPLE AGENTS; SIMPLE++; VALUE FUNCTIONS; ZERO SUMS;

COORDINATION REACTIONS;

EID: 85156242956     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

1. R. Dechter. Bucket elimination: A unifying framework for reasoning. Artificial Intelligence, 113(1-2):41-85, 1999.
2. Carlos Guestrin, Daphne Koller, and Ronald Parr. Multiagent planning with factored MDPs. In Proceeding of the 14th Neural Information Processing Systems (NIPS-14), pages 1523-1530, Vancouver, Canada, December 2001.
3. Carlos Guestrin, Daphne Koller, and Ronald Parr. Solving factored POMDPs with linear value functions. In IJCAI-01 workshop on Planning under Uncertainty and Incomplete Information, 2001.
4. Carlos Guestrin, Michail G. Lagoudakis, and Ronald Parr. Coordinated reinforcement learning. In Proceedings of the 19th International Conference on Machine Learning (ICML-02), pages 227-234, Sydney, Australia, July 2002.
5. Michail Lagoudakis and Ronald Parr. Model free least squares policy iteration. In Proceedings of the 14th Neural Information Processing Systems (NIPS-14), pages 1547-1554, Vancouver, Canada, December 2001.
6. Michail Lagoudakis and Ronald Parr. Value function approximation in zero sum Markov games. In Proceedings of the 18th Conference on Uncertainty in Artificial Intelligence (UAI 2002), pages 283-292, Edmonton, Canada, 2002.
7. Michael L. Littman. Markov games as a framework for multi-agent reinforcement learning. In Proceedings of the 11th International Conference on Machine Learning (ICML-94), pages 157-163, San Francisco, CA, 1994. Morgan Kaufmann.