Kang Xu

MS student, Fudan University

I am a MS student at Fudan University, advised by Prof. Wei Li.

Research interest

I am broadly interested in research on Reinforcement Learning, and my current research interest primarily focuses on:

Publications and preprints

Cross-Domain Policy Adaptation via Value-Guided Data Filtering
Kang Xu, Chenjia Bai, Xiaoteng Ma, Dong Wang, Bin Zhao, Zhen Wang, Xuelong Li, Wei Li
Neural Information Processing Systems (NeurIPS), 2023
[Paper] [Code]
Diffusion Model is an Effective Planner and Data Synthesizer for Multi-Task Reinforcement Learning
Haoran He, Chenjia Bai, Kang Xu, Zhuoran Yang, Weinan Zhang, Zhen Wang, Bin Zhao, Xuelong Li
Neural Information Processing Systems (NeurIPS), 2023
[Paper] [Code]
On the Value of Myopic Behavior in Policy Reuse
Kang Xu, Chenjia Bai, Shuang Qiu, Haoran He, Bin Zhao, Zhen Wang, Wei Li, Xuelong Li
Preprint 2023
[Paper]
Open-Ended Diverse Solution Discovery with Regulated Behavior Patterns for Cross-Domain Adaptation
Kang Xu, Yan Ma, Bingsheng Wei, Wei Li
Association for the Advancement of Artificial Intelligence (AAAI), 2023 (Oral)
[Paper]
Dynamics-aware novelty search with behavior repulsion
Kang Xu, Yan Ma, Wei Li
Genetic and Evolutionary Computation Conference (GECCO), 2022
[Paper]
Evolutionary Action Selection for Gradient-Based Policy Learning
Yan Ma, Tianxing Liu, Bingsheng Wei, Yi Liu, Kang Xu, Wei Li
International Conference on Neural Information Processing (ICONIP), 2022 (Oral)
[Paper]

Experiences

Shanghai AI Laboratory - Research Intern (Nov.2022 - Nov.2023)
Advisor: Chenjia Bai
Netease Fuxi - Algorithm Engineer Intern (Jun.2021 - Aug.2021)

Contact

I can be contacted directly at kangxu023[at]gmail.com