On a dynamical analysis of reinforcement learning in games: Emergence of occam's razor

Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

Volumn 2691, Issue , 2003, Pages 335-344

  Tuyls, Karl ^a   Verbeeck, Katja ^a   Maes, Sam ^a  

^a VRIJE UNIVERSITEIT BRUSSEL   (Belgium)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DIFFERENTIAL EQUATIONS; GAME THEORY; MATHEMATICAL MODELS; REINFORCEMENT; VECTORS; DYNAMICS; INTELLIGENT AGENTS; REINFORCEMENT LEARNING;

DYNAMICAL ANALYSIS; Q-LEARNING; RAZOR; REINFORCEMENT LEARNING (RL); DYNAMIC BEHAVIOURS; EVOLUTIONARY GAME THEORY; EXPERIMENTAL VERIFICATION; GAME THEORETICAL MODELS; LEARNING EQUILIBRIA; REINFORCEMENT LEARNING TECHNIQUES; REPLICATOR DYNAMICS;

MULTI AGENT SYSTEMS;

EID: 8344263004     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/3-540-45023-8_32     Document Type: Conference Paper

References (10)

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