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• Finite-Sample Analysis of Nonlinear Stochastic Approximation with Applications in Reinforcement Learning
  2019 · 31 citations
• Finite-Time Analysis of Stochastic Gradient Descent under Markov Randomness
  2020 · 11 citations
• Local Stochastic Approximation: A Unified View of Federated Learning and Distributed Multi-Task Reinforcement Learning Algorithms
  2020 · 6 citations
• Finite-Time Performance of Distributed Temporal Difference Learning with Linear Function Approximation
  2019 · 5 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
• Internal State-Based Policy Gradient Methods for Partially Observable Markov Potential Games
  2026
• Finite Sample Analysis of Two-Time-Scale Natural Actor-Critic Algorithm
  2021
• Fast Nonlinear Two-Time-Scale Stochastic Approximation: Achieving $O(1/k)$ Finite-Sample Complexity
  2024