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• 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
• 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
  2020 · 18 citations
• Non-Cooperative Inverse Reinforcement Learning
  2019 · 15 citations
• Model-Free Non-Stationary RL: Near-Optimal Regret and Applications in Multi-Agent RL and Inventory Control
  2020 · 9 citations
• Derivative-Free Policy Optimization for Linear Risk-Sensitive and Robust Control Design: Implicit Regularization and Sample Complexity