Mean Field Games and Applications: Numerical Aspects - HAL
Abstra t. The temporal di eren e (TD) learning algo- rithm o ers the hope that the arduous task of manually tuning the evaluation fun tion.
Optimality and Stability in Non-Convex Smooth GamesThis course explains the fundamental principles of game theory (rationality, Nash equilibrium, correlated equilibria, etc.) and presents the solution of ... Game Theory for Smart Cities - 2SC7210 - CentraleSupélecIn this paper, we introduce and study a first-order mean-field game obstacle problem. We examine the case of local dependence on the measure under ... On a repeated game with state dependent signalling matricesIn each of these games, temporal-difference learning (TD learning) has been used to achieve human master-level play. In each case, a value func- tion was ...
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