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Kaiqing Zhang

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Independent Learning in Stochastic GamesMulti-Agent Reinforcement Learning and Bandit Learning2022-04-29
Claim: a small modification of independent Q‑learning — decentralized Q‑learning with a two-time-scale update and smooth best responses — provably converges to…
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Multi-Agent Reinforcement Learning In Stochastic Games: From Alphago To Robust ControlMeet the Fellows Welcome Event2021-09-08
Shows that a simple model-based multi-agent RL plug-in estimator achieves nearly minimax sample complexity scaling with state count S, action counts a1+a2…
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