Article-Journal

Ensemble Successor Representations for Task Generalization in Offline-to-Online Reinforcement Learning.

In SCIENCE CHINA Information Sciences, 2023

Our work builds upon the investigation of successor representations for task generalization in online RL and extends the framework to incorporate offline-to-online learning.

Changhong Wang , Xudong Yu , Chenjia Bai , Qiaosheng Zhang , Zhen Wang^✉

Ensemble Successor Representations for Task Generalization in Offline-to-Online Reinforcement Learning.

Towards Robust Offline-to-Online Reinforcement Learning via Uncertainty and Smoothness.

In Journal of Artificial Intelligence Research (JAIR), 2023

We propose the Robust Offline-to-Online (RO2O) algorithm, designed to enhance offline policies through uncertainty and smoothness, and to mitigate the performance drop in online adaptation.

Xiaoyu Wen , Xudong Yu , Rui Yang , Chenjia Bai^✉ , Zhen Wang

Towards Robust Offline-to-Online Reinforcement Learning via Uncertainty and Smoothness.

Skill Matters: Dynamic Skill Learning for Multi-Agent Cooperative Reinforcement Learning.

Neural Networks, 2024

We propose a novel Dynamic Skill Learning (DSL) framework to enable more effective adaptation and collaboration in complex tasks.

Tong Li , Chenjia Bai^✉ , Kang Xu , Chen Chu , Peican Zhu , Zhen Wang^✉

Skill Matters: Dynamic Skill Learning for Multi-Agent Cooperative Reinforcement Learning.

大模型驱动的具身智能：发展与挑战

中国科学：信息科学

We give a comprehensive survey for embodied AI driven by large-scale models.

Chenjia Bai , Huazhe Xu , Xuelong Li^✉

大模型驱动的具身智能：发展与挑战