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• Reinforcement Learning for Selective Key Applications in Power Systems: Recent Advances and Future Challenges
  2021 · 354 citations
• 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
• Reinforcement Learning with Discrete Diffusion Policies for Combinatorial Action Spaces
  2025 · 4 citations
• Gradient play in stochastic games: stationary points, convergence, and sample complexity
  2021 · 4 citations
• R1-Code-Interpreter: LLMs Reason with Code via Supervised and Multi-stage Reinforcement Learning