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• Fully Decentralized Multi-Agent Reinforcement Learning with Networked Agents
  2018 · 250 citations
• Provably Efficient Reinforcement Learning with Linear Function Approximation
  2019 · 219 citations
• Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space
  2018 · 152 citations
• A Theoretical Analysis of Deep Q-Learning
  2019 · 132 citations
• Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms
  2019 · 124 citations
• Multi-Agent Reinforcement Learning via Double Averaging Primal-Dual Optimization
  2018 · 119 citations
• Neural Proximal/Trust Region Policy Optimization Attains Globally Optimal Policy
  2019 · 60 citations
• A Communication-Efficient Multi-Agent Actor-Critic Algorithm for Distributed Reinforcement Learning
  2019 · 38 citations