All learning is local: Multi-agent learning in global reward games

Advances in Neural Information Processing Systems

Volumn , Issue , 2004, Pages

  Chang, Yu Han ^a   Ho, Tracey ^b   Kaelbling, Leslie Pack ^a  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^b MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; LINEAR SYSTEMS;

CREDIT ASSIGNMENT; KALMAN-FILTERING; MULTI-AGENT GAMES; MULTI-AGENT LEARNING; PARTIAL OBSERVABILITY; SIMPLE AND EFFICIENT ALGORITHMS; SINGLE-AGENT; TRAINING SIGNAL;

OBSERVABILITY;

EID: 84899032145     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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