Yixiang Sun — accepted AI-conference papers

2026

WorldGym: World Model as An Environment for Policy Evaluation

Julian Hector Quevedo, Ansh Kumar Sharma, Yixiang Sun, Varad Suryavanshi, Percy Liang, Sherry Yang

ICLR 2026poster

Evaluating robot control policies is difficult: real-world testing is costly, and handcrafted simulators require manual effort to improve in realism and generality. We propose a world-model-based policy evaluation environment (WorldGym), an autoregressive, action-conditioned video generation model w…

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2025

Knowledge Retention in Continual Model-Based Reinforcement Learning

Haotian Fu, Yixiang Sun, Michael Littman, George Konidaris

ICML 2025poster

We propose DRAGO, a novel approach for continual model-based reinforcement learning aimed at improving the incremental development of world models across a sequence of tasks that differ in their reward functions but not the state space or dynamics. DRAGO comprises two key components: *Synthetic Expe…

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