Chao Yu

Translate Policy to Language: Flow Matching Generated Rewards for LLM Explanations

MARSHAL: Incentivizing Multi-Agent Reasoning via Self-Play with Strategic LLMs

SAC Flow: Sample-Efficient Reinforcement Learning of Flow-Based Policies via Velocity-Reparameterized Sequential Modeling

Exploring the Secondary Risks of Large Language Models

RE-PO: Robust Enhanced Policy Optimization as a General Framework for LLM Alignment

Fine-tuning Diffusion Policies with Backpropagation Through Diffusion Timesteps

Automatic Reward Shaping from Multi-Objective Human Heuristics

Extending Test-Time Scaling: A 3D Perspective with Context, Batch, and Turn

VS-Bench: Evaluating VLMs for Strategic Abilities in Multi-Agent Environments

Learning from Suboptimal Data in Continuous Control via Auto-Regressive Soft Q-Network

What Can RL Bring to VLA Generalization? An Empirical Study

ReinFlow: Fine-tuning Flow Matching Policy with Online Reinforcement Learning

Few-shot In-context Preference Learning using Large Language Models

Fine-tuning Diffusion Policies with Backpropagation Through Diffusion Timesteps

FlightBench: Benchmarking Learning-based Methods for Ego-vision-based Quadrotors Navigation

Reward-Robust RLHF in LLMs

Learning Strategic Language Agents in the Werewolf Game with Iterative Latent Space Policy Optimization