Evaluating concurrent reinforcement learners

Proceedings - 4th International Conference on MultiAgent Systems, ICMAS 2000

Volumn , Issue , 2000, Pages 421-422

  Mundhe, M ^a   Sen, S ^a  

^a UNIVERSITY OF TULSA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; INTELLIGENT AGENTS; MULTI AGENT SYSTEMS; SOFTWARE AGENTS;

CONVERGENCE BEHAVIORS; DELAYED FEEDBACK; EMPIRICAL INVESTIGATION; INTERACTING AGENTS; MATRIX SIZE; PROBLEM SIZE; Q-LEARNING; REINFORCEMENT LEARNING AGENT;

REINFORCEMENT LEARNING;

EID: 84962092523     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICMAS.2000.858505     Document Type: Conference Paper

References (4)

1. C. Claus and C. Boutilier. The dynamics of reinforcement learning in cooperative multiagent systems. In Proceedings of the AAAI-98, pages 746-752, Menlo Park, CA, 1998. AAAI Press/MIT Press.
2. M. L. Littman. Markov games as a framework for multi-agent reinforcement learning. In Proceedings of the Eleventh International Conference on Machine Learning, pages 157-163, San Mateo, CA, 1994. Morgan Kaufmann.
3. S. Sen, M. Sekaran, and J. Hale. Learning to coordinate without sharing information. In Proceedings of AAAI-94, pages 426-431, Menlo Park, CA, 1994. AAAI Press/MIT Press.
4. J. M. Vidal and E. H. Durfee. Agents learning about agents: A framework and analysis. In Woking notes of AAAI-97 workshop on Multiagent Learning, pages 71-76. AAAI, 1997.