Reinforcement Learning to Play an Optimal Nash Equilibrium in Team Markov Games

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

Volumn , Issue , 2002, Pages 1571-1578

  Wang, Xiaofeng ^a   Sandholm, Tuomas ^b  

^a CARNEGIE MELLON UNIVERSITY   (United States)

^b CARNEGIE MELLON UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATION THEORY; GAME THEORY; MULTI AGENT SYSTEMS;

ADAPTIVE LEARNING; COORDINATION POLICIES; LEARN+; LEARNING TO PLAY; MARKOV GAMES; MULTI AGENT; MULTI-AGENT LEARNING; NASH EQUILIBRIA; OPTIMAL COORDINATION; REINFORCEMENT LEARNINGS;

REINFORCEMENT LEARNING;

EID: 67649405225     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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