Mean field asymptotics of Markov decision evolutionary games and teams

Proceedings of the 2009 International Conference on Game Theory for Networks, GameNets '09

Volumn , Issue , 2009, Pages 140-150

  Tembine, Hamidou ^a   Le Boudec, Jean Yves ^b   El Azouzi, Rachid ^a   Altman, Eitan ^c  

^a UNIVERSITY OF AVIGNON   (France)

^b EPFL   (Switzerland)

^c INRIA   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ASYMPTOTIC BEHAVIORS; ASYMPTOTICS; ENERGY LEVEL; EVOLUTIONARY GAMES; GAME PROBLEM; INFINITE HORIZONS; JUMP PROCESS; LARGE POPULATION; LOCAL INTERACTIONS; MARKOV DECISION; MEAN FIELD; MICROSCOPIC MODELS; OPTIMAL STRATEGIES; SYSTEM OF DIFFERENTIAL EQUATIONS; TRANSITION PROBABILITIES;

ASYMPTOTIC ANALYSIS; DIFFERENTIAL EQUATIONS; MARKOV PROCESSES; POPULATION STATISTICS;

GAME THEORY;

EID: 70349977430     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/GAMENETS.2009.5137395     Document Type: Conference Paper

References (10)

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9. G. Y. Weintraub, L. Benkard, B. Van Roy, Oblivious Equilibrium: A mean field Approximation for Large-Scale Dynamic Games, Advances in Neural Information Processing Systems, Vol 18, 2006.
10. Le Boudec J.Y., McDonald D. , and Mundinger J., A Generic Mean Field Convergence Result for Systems of Interacting Objects. In QEST 2007 pages 3-18.