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Showing 1 to 5 of 5 for “"Matrix Games"”.
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Semi-infinite and infinite matrix games and bimatrix games
Contains fulltext : mmubn000001_246788151.pdf (Publisher’s version ) (Open Access)
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Limitations and Extensions of the WoLF-PHC Algorithm
… to learn probabilistic policies for multi-agent games. WoLF-PHC extends PHC with the "win or learn fast" principle. A proof that PHC will diverge in self-play when playing Shapley's game is given, and WoLF-PHC is shown empirically to diverge as well. Various WoLF-PHC based modifications were …
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Approaches to multi-agent learning
… for studying multi-agent learning: repeated matrix games. We quickly realize that there is no such thing as an opponent-independent, globally optimal learning algorithm. Some form of opponent assumptions must be necessary when designing multi-agent learning algorithms. We first show that we …
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A model predictive control approach to a class of multiplayer minmax differential games
… a class of two-team adversarial differential games in which there are multiple mobile dynamic agents on each team. We describe such games in terms of semi-infinite minmax Model Predictive Control (MPC) problems, and present a numerical optimization technique for efficiently solving them. We …
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Game theoretic analysis and design for network security
… which can be viewed as sequences of nonzero-sum matrix games between an Attacker and a Defender. Players do not have access to each other's payoff matrix. Each has to observe the other's actions up to the present and plays the action generated based on the best response to these observations. …