Asymmetric multiagent reinforcement learning

Proceedings - IEEE/WIC International Conference on Intelligent Agent Technology, IAT'03

Volumn , Issue , 2003, Pages 336-342

  Könönen, Ville ^a  

^a AALTO UNIVERSITY   (Finland)

Author keywords

[No Author keywords available]

Indexed keywords

INFORMATION STATE; LEARNING METHODS; LEARNING TASKS; LITERATURE SURVEY; MARKOV GAMES; MULTI-AGENT REINFORCEMENT LEARNING; NOVEL METHODS;

MULTI AGENT SYSTEMS;

REINFORCEMENT LEARNING;

EID: 78649701299     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (10)

1. T. Basar and G. J. Olsder. Dynamic Noncooperative Game Theory, volume 160 of Mathematics in Science and Engineering. Academic Press Inc. (London) Ltd., London, UK, 1982.
2. C. Claus and C. Boutilier. The dynamics of reinforcement learning in cooperative multiagent systems. In Proceeding of the Fifteenth National Conference of Artificial Intelligence (AAAI-98)/Proceeding of the Tenth Conference of Innovative Applications of the Artificial Intelligence (IAAI-1998), Madison, WI, 1998. AAAI Press.
3. J. A. Filar and K. Vrieze. Competitive Markov Decision Processes. Springer-Verlag, New York, NY, 1997.
4. J. Hu and M. P. Wellman. Multiagent reinforcement learning: Theoretical framework and an algorithm. In Proceedings of the Fifteenth International Conference on Machine Learning (ICML-1998), Madison, WI, July 1998. Morgan Kaufmann Publishers.
5. S. Kapetanakis and D. Kudenko. Reinforcement learning of coordination in cooperative multi-agent systems. In Proceedings of the Eighteenth National Conference on Artificial Intelligence (AAAI-02), Edmonton, Alberta, Canada, 2002. AAAI Press.
6. M. L. Littman. Markov games as a framework for multi-agent reinforcement learning. In Proceedings of the Eleventh International Conference on Machine Learning (ICML-1994), New Brunswick, NJ, 1994. Morgan Kaufmann Publishers.
7. M. L. Littman. Friend-or-Foe Q-learning in general-sum games. In Proceedings of the Eighteenth International Conference on Machine Learning (ICML-2001), Williamstown, MA, 2001. Morgan Kaufmann Publishers.
8. T. M. Mitchell. Machine Learning. McGraw-Hill, New York, NY, 1997.
9. R. S. Sutton and A. G. Barto. Reinforcement Learning: An Introduction. MIT Press, Cambridge, MA, 1998.
10. X. Wang and T. Sandholm. Reinforcement learning to play an optimal Nash equilibrium in team markov games. In Advances in Neural Information Processing Systems, volume 15, Cambridge, MA, 2002. MIT Press.