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• Simple and optimal methods for stochastic variational inequalities, I: operator extrapolation
  2020 · 16 citations
• CRPO: A New Approach for Safe Reinforcement Learning with Convergence Guarantee
  2020 · 16 citations
• Policy Mirror Descent for Reinforcement Learning: Linear Convergence, New Sampling Complexity, and Generalized Problem Classes
  2021 · 3 citations
• Faster Algorithm and Sharper Analysis for Constrained Markov Decision Process
  2021 · 3 citations
• Stochastic first-order methods for average-reward Markov decision processes
  2022 · 2 citations
• First-order Policy Optimization for Robust Markov Decision Process
  2022 · 2 citations
• Policy Mirror Descent Inherently Explores Action Space
  2023 · 1 citations
• Actor-Accelerated Policy Dual Averaging for Reinforcement Learning in Continuous Action Spaces
  2026
• Global Solutions to Non-Convex Functional Constrained Problems with Hidden Convexity
  2025
• Simple and optimal methods for stochastic variational inequalities, II: Markovian noise and policy evaluation in reinforcement learning
  2020
• Block Policy Mirror Descent
  2022
• First-order Policy Optimization for Robust Policy Evaluation
  2023