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• Scalable Multi-Agent Reinforcement Learning for Networked Systems with Average Reward
  2020 · 23 citations
• Combining Model-Based and Model-Free Methods for Nonlinear Control: A Provably Convergent Policy Gradient Approach
  2020 · 11 citations
• Multi-Agent Reinforcement Learning in Stochastic Networked Systems
  2020 · 8 citations
• KCRL: Krasovskii-Constrained Reinforcement Learning with Guaranteed Stability in Nonlinear Dynamical Systems
  2022 · 4 citations
• Overcoming the Curse of Dimensionality in Reinforcement Learning Through Approximate Factorization
  2024 · 2 citations
• Robust Gymnasium: A Unified Modular Benchmark for Robust Reinforcement Learning
  2025 · 1 citations
• Global Convergence of Localized Policy Iteration in Networked Multi-Agent Reinforcement Learning
  2022 · 1 citations
• Distributionally Robust Cooperative Multi-Agent Reinforcement Learning via Robust Value Factorization
  2026