Yiming Zhang

Researcher, Shenzhen Institute of Artificial Intelligence and Robotics for Society (AIRS),The Chinese University of Hong Kong

1 paper at NeurIPS 2025

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Poster Session 3

1 paper

Thursday, December 4, 2025 · 11:00 AM → 2:00 PM

Exhibit Hall C,D,E

Towards Large-Scale In-Context Reinforcement Learning by Meta-Training in Randomized Worlds

#2803 · Fan Wang, Pengtao Shao, Yiming Zhang, Bo Yu, Shaoshan Liu, Ning Ding, Yang Cao, Yu Kang, Haifeng Wang

The paper presents AnyMDP, a framework for procedurally generating diverse tasks to enhance In-Context Reinforcement Learning (ICRL) scalability, and explores the trade-off between generalization and adaptation efficiency.