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• Multi-Agent Reinforcement Learning via Double Averaging Primal-Dual Optimization
  2018 · 119 citations
• A Two-Timescale Framework for Bilevel Optimization: Complexity Analysis and Application to Actor-Critic
  2020 · 52 citations
• Towards Understanding Asynchronous Advantage Actor-critic: Convergence and Linear Speedup
  2020 · 7 citations
• Maximum-Likelihood Inverse Reinforcement Learning with Finite-Time Guarantees
  2022 · 4 citations
• Learning to Coordinate in Multi-Agent Systems: A Coordinated Actor-Critic Algorithm and Finite-Time Guarantees
  2021 · 3 citations
• Getting More Juice Out of the SFT Data: Reward Learning from Human Demonstration Improves SFT for LLM Alignment
  2024 · 1 citations
• Stabilizing Off-Policy Training for Long-Horizon LLM Agent via Turn-Level Importance Sampling and Clipping-Triggered Normalization
  2025
• Reinforcing Multi-Turn Reasoning in LLM Agents via Turn-Level Reward Design
  2025
• Learning Explainable Dense Reward Shapes via Bayesian Optimization
  2025
• When Demonstrations Meet Generative World Models: A Maximum Likelihood Framework for Offline Inverse Reinforcement Learning
  2023
• A Bayesian Approach to Robust Inverse Reinforcement Learning
  2023