Xidong Feng

According to our database, Xidong Feng authored at least 25 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Heterogeneous-Agent Reinforcement Learning.

Yifan Zhong, Jakub Grudzien Kuba, Xidong Feng, Siyi Hu, Jiaming Ji, Yaodong Yang

J. Mach. Learn. Res., 2024

Natural Language Reinforcement Learning.

Xidong Feng, Ziyu Wan, Haotian Fu, Bo Liu, Mengyue Yang, Girish A. Koushik, Zhiyuan Hu, Ying Wen, Jun Wang

CoRR, 2024

Efficient Reinforcement Learning with Large Language Model Priors.

Xue Yan, Yan Song, Xidong Feng, Mengyue Yang, Haifeng Zhang, Haitham Bou-Ammar, Jun Wang

CoRR, 2024

Natural Language Reinforcement Learning.

Xidong Feng, Ziyu Wan, Mengyue Yang, Ziyan Wang, Girish A. Koushik, Yali Du, Ying Wen, Jun Wang

CoRR, 2024

Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in Large Language Models.

Zhiyuan Hu, Chumin Liu, Xidong Feng, Yilun Zhao, See-Kiong Ng, Anh Tuan Luu, Junxian He, Pang Wei Koh, Bryan Hooi

CoRR, 2024

AlphaZero-Like Tree-Search can Guide Large Language Model Decoding and Training.

Ziyu Wan, Xidong Feng, Muning Wen, Stephen Marcus McAleer, Ying Wen, Weinan Zhang, Jun Wang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Time-Series Representation Learning in Topology Prediction for Passive Optical Network of Telecom Operators.

Haoran Zhao, Yuchen Fang, Yuxiang Zhao, Zheng Tian, Weinan Zhang, Xidong Feng, Li Yu, Wei Li, Hulei Fan, Tiema Mu

Sensors, March, 2023

TorchOpt: An Efficient Library for Differentiable Optimization.

Jie Ren, Xidong Feng, Bo Liu, Xuehai Pan, Yao Fu, Luo Mai, Yaodong Yang

J. Mach. Learn. Res., 2023

Pangu-Agent: A Fine-Tunable Generalist Agent with Structured Reasoning.

Filippos Christianos, Georgios Papoudakis, Matthieu Zimmer, Thomas Coste, Zhihao Wu, Jingxuan Chen, Khyati Khandelwal, James Doran, Xidong Feng, Jiacheng Liu, Zheng Xiong, Yicheng Luo, Jianye Hao, Kun Shao, Haitham Bou-Ammar, Jun Wang

CoRR, 2023

Alphazero-like Tree-Search can Guide Large Language Model Decoding and Training.

Xidong Feng, Ziyu Wan, Muning Wen, Ying Wen, Weinan Zhang, Jun Wang

CoRR, 2023

MANSA: Learning Fast and Slow in Multi-Agent Systems.

David Mguni, Taher Jafferjee, Haojun Chen, Jianhong Wang, Long Fei, Xidong Feng, Stephen McAleer, Feifei Tong, Jun Wang, Yaodong Yang

CoRR, 2023

ChessGPT: Bridging Policy Learning and Language Modeling.

Xidong Feng, Yicheng Luo, Ziyan Wang, Hongrui Tang, Mengyue Yang, Kun Shao, David Mguni, Yali Du, Jun Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

MANSA: Learning Fast and Slow in Multi-Agent Systems.

David Henry Mguni, Haojun Chen, Taher Jafferjee, Jianhong Wang, Longfei Yue, Xidong Feng, Stephen Marcus McAleer, Feifei Tong, Jun Wang, Yaodong Yang

Proceedings of the International Conference on Machine Learning, 2023

2022

Contextual Transformer for Offline Meta Reinforcement Learning.

Runji Lin, Ye Li, Xidong Feng, Zhaowei Zhang, Xian Hong Wu Fung, Haifeng Zhang, Jun Wang, Yali Du, Yaodong Yang

CoRR, 2022

Heterogeneous-Agent Mirror Learning: A Continuum of Solutions to Cooperative MARL.

Jakub Grudzien Kuba, Xidong Feng, Shiyao Ding, Hao Dong, Jun Wang, Yaodong Yang

CoRR, 2022

Towards Human-Level Bimanual Dexterous Manipulation with Reinforcement Learning.

Yuanpei Chen, Yaodong Yang, Tianhao Wu, Shengjie Wang, Xidong Feng, Jiechuang Jiang, Stephen Marcus McAleer, Hao Dong, Zongqing Lu, Song-Chun Zhu

CoRR, 2022

Towards Human-Level Bimanual Dexterous Manipulation with Reinforcement Learning.

Yuanpei Chen, Tianhao Wu, Shengjie Wang, Xidong Feng, Jiechuan Jiang, Zongqing Lu, Stephen McAleer, Hao Dong, Song-Chun Zhu, Yaodong Yang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A Theoretical Understanding of Gradient Bias in Meta-Reinforcement Learning.

Bo Liu, Xidong Feng, Jie Ren, Luo Mai, Rui Zhu, Haifeng Zhang, Jun Wang, Yaodong Yang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Settling the Bias and Variance of Meta-Gradient Estimation for Meta-Reinforcement Learning.

Bo Liu, Xidong Feng, Haifeng Zhang, Jun Wang, Yaodong Yang

CoRR, 2021

Discovering Multi-Agent Auto-Curricula in Two-Player Zero-Sum Games.

Xidong Feng, Oliver Slumbers, Yaodong Yang, Ziyu Wan, Bo Liu, Stephen McAleer, Ying Wen, Jun Wang

CoRR, 2021

Neural Auto-Curricula in Two-Player Zero-Sum Games.

Xidong Feng, Oliver Slumbers, Ziyu Wan, Bo Liu, Stephen McAleer, Ying Wen, Jun Wang, Yaodong Yang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

CMML: Contextual Modulation Meta Learning for Cold-Start Recommendation.

Xidong Feng, Chen Chen, Dong Li, Mengchen Zhao, Jianye Hao, Jun Wang

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Towards Effective Context for Meta-Reinforcement Learning: an Approach based on Contrastive Learning.

Haotian Fu, Hongyao Tang, Jianye Hao, Chen Chen, Xidong Feng, Dong Li, Wulong Liu

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

MRI Reconstruction with Interpretable Pixel-Wise Operations Using Reinforcement Learning.

Wentian Li, Xidong Feng, Haotian An, Xiang Yao Ng, Yu-Jin Zhang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Vehicle Trajectory Prediction Using Intention-based Conditional Variational Autoencoder.

Xidong Feng, Zhepeng Cen, Jianming Hu, Yi Zhang

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019