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• Balance Reward and Safety Optimization for Safe Reinforcement Learning: A Perspective of Gradient Manipulation
  2024 · 9 citations
• A Dual Approach to Constrained Markov Decision Processes with Entropy Regularization
  2021 · 4 citations
• A CMDP-within-online framework for Meta-Safe Reinforcement Learning
  2024 · 2 citations
• Beyond Exact Gradients: Convergence of Stochastic Soft-Max Policy Gradient Methods with Entropy Regularization
  2021 · 1 citations
• Policy-based Primal-Dual Methods for Concave CMDP with Variance Reduction
  2022 · 1 citations
• Scalable Multi-Agent Reinforcement Learning with General Utilities
  2023 · 1 citations
• Scalable Primal-Dual Actor-Critic Method for Safe Multi-Agent RL with General Utilities
  2023 · 1 citations
• On the Global Optimum Convergence of Momentum-based Policy Gradient
  2021
• Provably Efficient Primal-Dual Reinforcement Learning for CMDPs with Non-stationary Objectives and Constraints
  2022
• Non-stationary Risk-sensitive Reinforcement Learning: Near-optimal Dynamic Regret, Adaptive Detection, and Separation Design
  2022
• Tempo Adaptation in Non-stationary Reinforcement Learning
  2023
• Safe and Balanced: A Framework for Constrained Multi-Objective Reinforcement Learning
  2024