Efficient Algorithms for Learning to Play Repeated Games Against Computationally Bounded Adversaries.
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Efficient Algorithms for Learning to Play Repeated Games Against Computationally Bounded Adversaries.
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finite automata; game theory; learning (artificial intelligence); repeated games playing; computationally bounded adversaries; computational efficiency; learning algorithm; penny-matching; classically studied finite automata
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Efficient Algorithms for Learning to Play Repeated Games Against Computationally Bounded Adversaries.
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