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• Scalable Multi-Agent Reinforcement Learning for Networked Systems with Average Reward
  2020 · 23 citations
• Exploiting Fast Decaying and Locality in Multi-Agent MDP with Tree Dependence Structure
  2019 · 17 citations
• Distributed Reinforcement Learning for Decentralized Linear Quadratic Control: A Derivative-Free Policy Optimization Approach
  2019 · 17 citations
• Towards a Theoretical Foundation of Policy Optimization for Learning Control Policies
  2022 · 6 citations
• Gradient play in stochastic games: stationary points, convergence, and sample complexity
  2021 · 4 citations
• On the Global Convergence Rates of Decentralized Softmax Gradient Play in Markov Potential Games
  2022 · 2 citations
• Policy Optimization for Markov Games: Unified Framework and Faster Convergence
  2022 · 2 citations
• Optimism as Risk-Seeking in Multi-Agent Reinforcement Learning
  2025 · 1 citations
• Multi-Agent Reinforcement Learning with Reward Delays
  2022 · 1 citations
• Latent Variable Representation for Reinforcement Learning
  2022 · 1 citations
• Markov Games with Decoupled Dynamics: Price of Anarchy and Sample Complexity
  2023 · 1 citations
• Efficient Duple Perturbation Robustness in Low-rank MDPs
  2024