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Xidong Feng
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2020 – today
- 2024
- [j3]Yifan Zhong, Jakub Grudzien Kuba, Xidong Feng, Siyi Hu, Jiaming Ji, Yaodong Yang:
Heterogeneous-Agent Reinforcement Learning. J. Mach. Learn. Res. 25: 32:1-32:67 (2024) - [c10]Ziyu Wan, Xidong Feng, Muning Wen, Stephen Marcus McAleer, Ying Wen, Weinan Zhang, Jun Wang:
AlphaZero-Like Tree-Search can Guide Large Language Model Decoding and Training. ICML 2024 - [i15]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 abs/2402.03271 (2024) - [i14]Xidong Feng, Ziyu Wan, Mengyue Yang, Ziyan Wang, Girish A. Koushik, Yali Du, Ying Wen, Jun Wang:
Natural Language Reinforcement Learning. CoRR abs/2402.07157 (2024) - [i13]Xue Yan, Yan Song, Xidong Feng, Mengyue Yang, Haifeng Zhang, Haitham Bou-Ammar, Jun Wang:
Efficient Reinforcement Learning with Large Language Model Priors. CoRR abs/2410.07927 (2024) - 2023
- [j2]Jie Ren, Xidong Feng, Bo Liu, Xuehai Pan, Yao Fu, Luo Mai, Yaodong Yang:
TorchOpt: An Efficient Library for Differentiable Optimization. J. Mach. Learn. Res. 24: 367:1-367:14 (2023) - [j1]Haoran Zhao
, Yuchen Fang
Time-Series Representation Learning in Topology Prediction for Passive Optical Network of Telecom Operators. Sensors 23(6): 3345 (2023) - [c9]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: 24631-24658 - [c8]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 - [i12]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 abs/2302.05910 (2023) - [i11]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 abs/2306.09200 (2023) - [i10]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 abs/2309.17179 (2023) - [i9]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 abs/2312.14878 (2023) - 2022
- [c7]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 - [c6]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 - [i8]Yuanpei Chen, Yaodong Yang
Towards Human-Level Bimanual Dexterous Manipulation with Reinforcement Learning. CoRR abs/2206.08686 (2022) - [i7]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 abs/2208.01682 (2022) - [i6]Jie Ren, Xidong Feng, Bo Liu, Xuehai Pan, Yao Fu, Luo Mai, Yaodong Yang
TorchOpt: An Efficient Library for Differentiable Optimization. CoRR abs/2211.06934 (2022) - [i5]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 abs/2211.08016 (2022) - 2021
- [c5]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: 7457-7465 - [c4]Xidong Feng, Chen Chen, Dong Li, Mengchen Zhao, Jianye Hao, Jun Wang:
CMML: Contextual Modulation Meta Learning for Cold-Start Recommendation. CIKM 2021: 484-493 - [c3]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: 3504-3517 - [i4]Xidong Feng, Oliver Slumbers, Yaodong Yang, Ziyu Wan, Bo Liu
Discovering Multi-Agent Auto-Curricula in Two-Player Zero-Sum Games. CoRR abs/2106.02745 (2021) - [i3]Xidong Feng, Chen Chen, Dong Li, Mengchen Zhao, Jianye Hao, Jun Wang:
CMML: Contextual Modulation Meta Learning for Cold-Start Recommendation. CoRR abs/2108.10511 (2021) - [i2]Bo Liu, Xidong Feng, Haifeng Zhang, Jun Wang, Yaodong Yang:
Settling the Bias and Variance of Meta-Gradient Estimation for Meta-Reinforcement Learning. CoRR abs/2112.15400 (2021) - 2020
- [c2]Wentian Li, Xidong Feng, Haotian An, Xiang Yao Ng, Yu-Jin Zhang:
MRI Reconstruction with Interpretable Pixel-Wise Operations Using Reinforcement Learning. AAAI 2020: 792-799 - [i1]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 abs/2009.13891 (2020)
2010 – 2019
- 2019
- [c1]Xidong Feng, Zhepeng Cen, Jianming Hu, Yi Zhang:
Vehicle Trajectory Prediction Using Intention-based Conditional Variational Autoencoder. ITSC 2019: 3514-3519
Coauthor Index
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