← authors · overview

• 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
• 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
• Bridging the Training-Inference Gap in LLMs by Leveraging Self-Generated Tokens
  2024