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• Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Primal-Dual Approach
  2021 · 4 citations
• Provably Efficient Model-Free Algorithm for MDPs with Peak Constraints
  2020 · 3 citations
• Joint Optimization of Multi-Objective Reinforcement Learning with Policy Gradient Based Algorithm
  2021 · 1 citations
• Markov Decision Processes with Long-Term Average Constraints
  2021 · 1 citations
• Concave Utility Reinforcement Learning with Zero-Constraint Violations
  2021 · 1 citations
• Regret Analysis of Policy Gradient Algorithm for Infinite Horizon Average Reward Markov Decision Processes
  2023 · 1 citations
• Global Convergence for Average Reward Constrained MDPs with Primal-Dual Actor Critic Algorithm
  2025
• Model-Free Algorithm and Regret Analysis for MDPs with Long-Term Constraints
  2020
• Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Conservative Natural Policy Gradient Primal-Dual Algorithm
  2022
• Learning General Parameterized Policies for Infinite Horizon Average Reward Constrained MDPs via Primal-Dual Policy Gradient Algorithm
  2024
• Constrained Reinforcement Learning with Average Reward Objective: Model-Based and Model-Free Algorithms
  2024