Reinforcement learning for stochastic cooperative multi-agent-systems

Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS 2004

Volumn 3, Issue , 2004, Pages 1516-1517

  Lauer, Martin ^a   Riedmiller, Martin ^a  

^a UNIVERSITY OF OSNABRÜCK   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CONVERGENCE OF NUMERICAL METHODS; DECISION THEORY; LEARNING SYSTEMS; MARKOV PROCESSES; REINFORCEMENT; VECTORS;

MARKOV DECISION PROCESS (MDP); MULTI-AGENT DOMAINS; OPTIMAL POLICY; Q-LEARNING;

MULTI AGENT SYSTEMS;

EID: 4544226982     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

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3. C. Claus and C. Boutilier. The dynamics of reinforcement learning in cooperative multiagent systems. National. Conf. on AI, 1998.
4. C. Watkins. Learning from delayed rewards. PhD thesis. Cambridge, UK, 1989.
5. M. Lauer and M. Riedmiller. An algorithm for distributed reinforcement learning in cooperative multi-agent systems. ICML, 2000.
6. J. Schneider, W. Wong A. Moore and M. Riedmiller, Distributed value functions ICML 1999.
7. C. Guestrin, M. Lagoudakis, and R. Parr. Coordinated reinforcement learning. ICML 2002.