Chengdong Ma

Vulnerable Agent Identification in Large-Scale Multi-Agent Reinforcement Learning

Social World Model-Augmented Mechanism Design Policy Learning

Magnetic Preference Optimization: Achieving Last-iterate Convergence for Language Model Alignment

Empirical Study on Robustness and Resilience in Cooperative Multi-Agent Reinforcement Learning

Amulet: ReAlignment During Test Time for Personalized Preference Adaptation of LLMs

Falcon: Fast Visuomotor Policies via Partial Denoising