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Titlebook: Applications of Evolutionary Computation; EvoApplications 2011 Cecilia Chio,Stefano Cagnoni,Georgios N. Yannakaki Conference proceedings 20

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Applications of Evolutionary Computation978-3-642-20525-5Series ISSN 0302-9743 Series E-ISSN 1611-3349
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Adapting to New Software and Hardwareine learning a near-optimal driving style that consistently beats an expert human player (and the fastest currently known bots). Generalization to other tracks often, but not always succeeds, so that the method is extended by an online error correction mechanism well suited to the warmup phase of the Simulated Car Racing Championships.
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Alchemy, Chemistry, and MetallurgyWe propose an algorithm for computing approximate Nash equilibria of partially observable games using Monte-Carlo tree search based on recent bandit methods. We obtain experimental results for the game of phantom tic-tac-toe, showing that strong strategies can be efficiently computed by our algorithm.
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Multiple Tree for Partially Observable Monte-Carlo Tree SearchWe propose an algorithm for computing approximate Nash equilibria of partially observable games using Monte-Carlo tree search based on recent bandit methods. We obtain experimental results for the game of phantom tic-tac-toe, showing that strong strategies can be efficiently computed by our algorithm.
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Cecilia Chio,Stefano Cagnoni,Georgios N. YannakakiUnique visibility.State-of-the-art research.Fast-track conference proceedings
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