Xidong Feng

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 24

Top Topics

Reinforcement Learning

Dirichlet Prior

Top Venues

Publications

Xidong Feng, Ziyu Wan, Mengyue Yang, Ziyan Wang, Girish A. Koushik, Yali Du, Ying Wen, Jun Wang
Natural Language Reinforcement Learning. CoRR (2024)
Zhiyuan Hu, Chumin Liu, Xidong Feng, Yilun Zhao, See-Kiong Ng, Anh Tuan Luu, Junxian He, Pang Wei Koh, Bryan Hooi
Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in Large Language Models. CoRR (2024)
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
Pangu-Agent: A Fine-Tunable Generalist Agent with Structured Reasoning. CoRR (2023)
David Henry Mguni, Haojun Chen, Taher Jafferjee, Jianhong Wang, Longfei Yue, Xidong Feng, Stephen Marcus McAleer, Feifei Tong, Jun Wang, Yaodong Yang
MANSA: Learning Fast and Slow in Multi-Agent Systems. ICML (2023)
Xidong Feng, Ziyu Wan, Muning Wen, Ying Wen, Weinan Zhang, Jun Wang
Alphazero-like Tree-Search can Guide Large Language Model Decoding and Training. CoRR (2023)
Haoran Zhao, Yuchen Fang, Yuxiang Zhao, Zheng Tian, Weinan Zhang, Xidong Feng, Li Yu, Wei Li, Hulei Fan, Tiema Mu
Time-Series Representation Learning in Topology Prediction for Passive Optical Network of Telecom Operators. Sensors 23 (6) (2023)
Xidong Feng, Yicheng Luo, Ziyan Wang, Hongrui Tang, Mengyue Yang, Kun Shao, David Mguni, Yali Du, Jun Wang
ChessGPT: Bridging Policy Learning and Language Modeling. NeurIPS (2023)
Xidong Feng, Yicheng Luo, Ziyan Wang, Hongrui Tang, Mengyue Yang, Kun Shao, David Mguni, Yali Du, Jun Wang
ChessGPT: Bridging Policy Learning and Language Modeling. CoRR (2023)
David Mguni, Taher Jafferjee, Haojun Chen, Jianhong Wang, Long Fei, Xidong Feng, Stephen McAleer, Feifei Tong, Jun Wang, Yaodong Yang
MANSA: Learning Fast and Slow in Multi-Agent Systems. CoRR (2023)
Yuanpei Chen, Tianhao Wu, Shengjie Wang, Xidong Feng, Jiechuan Jiang, Zongqing Lu, Stephen McAleer, Hao Dong, Song-Chun Zhu, Yaodong Yang
Towards Human-Level Bimanual Dexterous Manipulation with Reinforcement Learning. NeurIPS (2022)
Yuanpei Chen, Yaodong Yang, Tianhao Wu, Shengjie Wang, Xidong Feng, Jiechuang Jiang, Stephen Marcus McAleer, Hao Dong, Zongqing Lu, Song-Chun Zhu
Towards Human-Level Bimanual Dexterous Manipulation with Reinforcement Learning. CoRR (2022)
Bo Liu, Xidong Feng, Jie Ren, Luo Mai, Rui Zhu, Haifeng Zhang, Jun Wang, Yaodong Yang
A Theoretical Understanding of Gradient Bias in Meta-Reinforcement Learning. NeurIPS (2022)
Jie Ren, Xidong Feng, Bo Liu, Xuehai Pan, Yao Fu, Luo Mai, Yaodong Yang
TorchOpt: An Efficient Library for Differentiable Optimization. CoRR (2022)
Jakub Grudzien Kuba, Xidong Feng, Shiyao Ding, Hao Dong, Jun Wang, Yaodong Yang
Heterogeneous-Agent Mirror Learning: A Continuum of Solutions to Cooperative MARL. CoRR (2022)
Runji Lin, Ye Li, Xidong Feng, Zhaowei Zhang, Xian Hong Wu Fung, Haifeng Zhang, Jun Wang, Yali Du, Yaodong Yang
Contextual Transformer for Offline Meta Reinforcement Learning. CoRR (2022)
Bo Liu, Xidong Feng, Haifeng Zhang, Jun Wang, Yaodong Yang
Settling the Bias and Variance of Meta-Gradient Estimation for Meta-Reinforcement Learning. CoRR (2021)
Xidong Feng, Chen Chen, Dong Li, Mengchen Zhao, Jianye Hao, Jun Wang
CMML: Contextual Modulation Meta Learning for Cold-Start Recommendation. CoRR (2021)
Xidong Feng, Chen Chen, Dong Li, Mengchen Zhao, Jianye Hao, Jun Wang
CMML: Contextual Modulation Meta Learning for Cold-Start Recommendation. CIKM (2021)
Haotian Fu, Hongyao Tang, Jianye Hao, Chen Chen, Xidong Feng, Dong Li, Wulong Liu
Towards Effective Context for Meta-Reinforcement Learning: an Approach based on Contrastive Learning. AAAI (2021)
Xidong Feng, Oliver Slumbers, Ziyu Wan, Bo Liu, Stephen McAleer, Ying Wen, Jun Wang, Yaodong Yang
Neural Auto-Curricula in Two-Player Zero-Sum Games. NeurIPS (2021)
Xidong Feng, Oliver Slumbers, Yaodong Yang, Ziyu Wan, Bo Liu, Stephen McAleer, Ying Wen, Jun Wang
Discovering Multi-Agent Auto-Curricula in Two-Player Zero-Sum Games. CoRR (2021)
Haotian Fu, Hongyao Tang, Jianye Hao, Chen Chen, Xidong Feng, Dong Li, Wulong Liu
Towards Effective Context for Meta-Reinforcement Learning: an Approach based on Contrastive Learning. CoRR (2020)
Wentian Li, Xidong Feng, Haotian An, Xiang Yao Ng, Yu-Jin Zhang
MRI Reconstruction with Interpretable Pixel-Wise Operations Using Reinforcement Learning. AAAI (2020)
Xidong Feng, Zhepeng Cen, Jianming Hu, Yi Zhang
Vehicle Trajectory Prediction Using Intention-based Conditional Variational Autoencoder. ITSC (2019)