The moving target function problem in multi-agent learning

Proceedings - International Conference on Multi Agent Systems, ICMAS 1998

Volumn , Issue , 1998, Pages 317-324

  Vidal, Jose M ^a   Durfee, Edmund H ^a  

^a UNIVERSITY OF MICHIGAN   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DIFFERENCE EQUATIONS; INTELLIGENT AGENTS; REINFORCEMENT LEARNING;

DECISION FUNCTIONS; LEARNING ABILITIES; LEARNING AGENTS; LEARNING RATES; MOVING TARGETS; MULTI-AGENT LEARNING; REINFORCEMENT LEARNING AGENT; RETENTION RATE;

MULTI AGENT SYSTEMS;

EID: 84962044659     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICMAS.1998.699075     Document Type: Conference Paper

References (7)

1. C. Claus and C. Boutilier. The dynamics of reinforcement learning in cooperative multiagent systems. In Pro-ceedings of Workshop on Multiagent Learning. AAAI Press, 1997. http://www.cs.ubc.ca/spider/cebly/Papers/multirl.ps.
2. P. R. Cohen, A. Cheyer, M. Wang, and C. S. Baeg. An open agent architecture. In Proceedings of the AAAI Spring Symposium on Software Agents, pages 1-8. AAAI, 1994.
3. E. H. Durfee, D. L. Kiskis, and W. P. Birmingham. The agent architecture of the University of Michigan Digital Library. IEEProceedings on Software Engineering, 144(1):61-71, 1997.
4. T. Ishida. Real-Time Search for Learnnig Autonomous Agents. Kluwer Academic Publishers, 1997.
5. S. Sen, M. Sekaran, and J. Hale. Learning to coordinate without sharing information. In Proceedings of the Twelfth National Conference on Artificial Intelligence, 1994.
6. Y. Shoham and M. Tennenholtz. On the emergence of social conventions: Modeling, analysis, and simulations. Artificial Intelligence, 94(1):139-166, 1997.
7. J. M. Vidal and E. H. Durfee. Learning nested models in an information economy. Journal of Experimental and Theoretical Artificial Intelligence: Special Issue Learning in DAI Systems, 1998. to appear, http://ai.eecs.umich.edu/people/jmvidal/papers/j etai.ps.