Multi-Agent Determinantal Q-Learning. ICML, 2020.

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A Regularized Opponent Model with Maximum Entropy Objective. IJCAI, 2019.

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Probabilistic Recursive Reasoning for Multi-Agent Reinforcement Learning. ICLR, 2019.

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Learning to Design Games: Strategic Environments in Deep Reinforcement Learning. IJCAI, 2018.

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A Study of AI Population Dynamics with Million-agent Reinforcement Learning. AAMAS, 2018.

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Multiagent Bidirectionally-Coordinated Nets: Emergence of Human-level Coordination in Learning to Play StarCraft Combat Games. NIPS17 Emergent Communication Workshop, 2017.

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Product-based Neural Networks for User Response Prediction. ICDM, 2016.

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