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Iterated Prisoner's Dilemma
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iterated-prisoner-s-dilemma-740f06f5·1 events·first seen 28d agoAliases: Iterated Prisoner's Dilemma
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Iterated AmplificationRegret Minimization with Adaptive Opponents in Repeated GamesGame-Theoretic EquilibriaQ-learningConstrained Reinforcement LearningHide-and-Seek Multi-Agent EnvironmentDNQ: Deep Nash Q-Network for Partially Observable n-Player GamesImitation LearningTit-for-TatProver-Verifier GamesIH-ChallengeDouble Q-learning
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Learning to Model Other Minds: OpenAI Releases LOLA Algorithm
OpenAI has released Learning with Opponent-Learning Awareness (LOLA), an algorithm designed for multi-agent settings where each agent accounts for the fact that other agents are also learning. LOLA discovers self-interested yet collaborative strategies such as tit-for-tat in the iterated prisoner's dilemma. The work represents an early step toward agents capable of modeling other minds and reasoning about opponent behavior.