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• A Decentralized Policy Gradient Approach to Multi-task Reinforcement Learning
  2020 · 7 citations
• A Two-Time-Scale Stochastic Optimization Framework with Applications in Control and Reinforcement Learning
  2021 · 2 citations
• Connected Superlevel Set in (Deep) Reinforcement Learning and its Application to Minimax Theorems
  2023 · 2 citations
• Fast Two-Time-Scale Stochastic Gradient Method with Applications in Reinforcement Learning
  2024 · 2 citations
• Finite-Time Complexity of Online Primal-Dual Natural Actor-Critic Algorithm for Constrained Markov Decision Processes
  2021 · 1 citations
• Natural Policy Gradient and Actor Critic Methods for Constrained Multi-Task Reinforcement Learning
  2024 · 1 citations
• A Hessian-Free Actor-Critic Algorithm for Bi-Level Reinforcement Learning with Applications to LLM Fine-Tuning
  2026
• Learning in Stackelberg Mean Field Games: A Non-Asymptotic Analysis
  2025
• A Reinforcement Learning Approach to Parameter Selection for Distributed Optimal Power Flow
  2021
• Sequential Fair Resource Allocation under a Markov Decision Process Framework
  2023
• Approximate Equivariance in Reinforcement Learning
  2024