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• Maximum-Likelihood Inverse Reinforcement Learning with Finite-Time Guarantees
  2022 · 4 citations
• Safe-FinRL: A Low Bias and Variance Deep Reinforcement Learning Implementation for High-Freq Stock Trading
  2022 · 1 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
• ADARL: Adaptive Low-Rank Structures for Robust Policy Learning under Uncertainty
  2025
• Reinforcing Multi-Turn Reasoning in LLM Agents via Turn-Level Reward Design
  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