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On Multi-Agent Reinforcement Learning in Matrix, Stochastic and Differential Games
Author(s) -
Mostafa D. Awheda
Publication year - 2017
Language(s) - English
Resource type - Dissertations/theses
DOI - 10.22215/etd/2017-11788
Subject(s) - nash equilibrium , reinforcement learning , best response , computer science , convergence (economics) , mathematical optimization , epsilon equilibrium , pursuer , solution concept , mathematics , algorithm , mathematical economics , artificial intelligence , economics , economic growth

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