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• Fully Decentralized Multi-Agent Reinforcement Learning with Networked Agents
  2018 · 250 citations
• Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms
  2019 · 124 citations
• Global Convergence of Policy Gradient Methods to (Almost) Locally Optimal Policies
  2019 · 44 citations
• A Communication-Efficient Multi-Agent Actor-Critic Algorithm for Distributed Reinforcement Learning
  2019 · 38 citations
• An Improved Analysis of (Variance-Reduced) Policy Gradient and Natural Policy Gradient Methods
  2022 · 30 citations
• Policy Optimization Provably Converges to Nash Equilibria in Zero-Sum Linear Quadratic Games
  2019 · 28 citations
• Model-Based Multi-Agent RL in Zero-Sum Markov Games with Near-Optimal Sample Complexity
  2020 · 24 citations
• Decentralized Multi-Agent Reinforcement Learning with Networked Agents: Recent Advances
  2019 · 19 citations
• Information State Embedding in Partially Observable Cooperative Multi-Agent Reinforcement Learning