Xidong Feng - RankMe

33 papers A* 10A 1Journal 21Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Efficient Reinforcement Learning with Large Language Model Priors. ICLR Xue Yan, Yan Song, Xidong Feng, Mengyue Yang, Haifeng Zhang, Haitham Bou-Ammar, Jun Wang
2025	J	`jnl`	Evaluating In Silico Creativity: An Expert Review of AI Chess Compositions. CoRR Vivek Veeriah, Federico Barbero, Marcus Chiam, Xidong Feng, Michael Dennis, Ryan Pachauri, Thomas Tumiel, Johan Obando-Ceron, Jiaxin Shi, Shaobo Hou, Satinder Singh, Nenad Tomasev, Tom Zahavy
2025	J	`jnl`	Generating Creative Chess Puzzles. CoRR Xidong Feng, Vivek Veeriah, Marcus Chiam, Michael Dennis, Ryan Pachauri, Thomas Tumiel, Federico Barbero, Johan Obando-Ceron, Jiaxin Shi, Satinder Singh, Shaobo Hou, Nenad Tomasev, Tom Zahavy
2024	A*	`conf`	AlphaZero-Like Tree-Search can Guide Large Language Model Decoding and Training. ICML Ziyu Wan, Xidong Feng, Muning Wen, Stephen Marcus McAleer, Ying Wen, Weinan Zhang, Jun Wang
2024	J	`jnl`	Efficient Reinforcement Learning with Large Language Model Priors. CoRR Xue Yan, Yan Song, Xidong Feng, Mengyue Yang, Haifeng Zhang, Haitham Bou-Ammar, Jun Wang
2024	J	`jnl`	Heterogeneous-Agent Reinforcement Learning. J. Mach. Learn. Res. Yifan Zhong, Jakub Grudzien Kuba, Xidong Feng, Siyi Hu, Jiaming Ji, Yaodong Yang
2024	J	`jnl`	Natural Language Reinforcement Learning. CoRR Xidong Feng, Ziyu Wan, Mengyue Yang, Ziyan Wang, Girish A. Koushik, Yali Du, Ying Wen, Jun Wang
2024	J	`jnl`	Natural Language Reinforcement Learning. CoRR Xidong Feng, Ziyu Wan, Haotian Fu, Bo Liu, Mengyue Yang, Girish A. Koushik, Zhiyuan Hu, Ying Wen, Jun Wang
2024	A*	`conf`	Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in LLMs. NeurIPS Zhiyuan Hu, Chumin Liu, Xidong Feng, Yilun Zhao, See-Kiong Ng, Anh Tuan Luu, Junxian He, Pang Wei W. Koh, Bryan Hooi
2024	J	`jnl`	Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in Large Language Models. CoRR Zhiyuan Hu, Chumin Liu, Xidong Feng, Yilun Zhao, See-Kiong Ng, Anh Tuan Luu, Junxian He, Pang Wei Koh, Bryan Hooi
2023	J	`jnl`	Alphazero-like Tree-Search can Guide Large Language Model Decoding and Training. CoRR Xidong Feng, Ziyu Wan, Muning Wen, Ying Wen, Weinan Zhang, Jun Wang
2023	A*	`conf`	ChessGPT: Bridging Policy Learning and Language Modeling. NeurIPS Xidong Feng, Yicheng Luo, Ziyan Wang, Hongrui Tang, Mengyue Yang, Kun Shao, David Mguni, Yali Du, Jun Wang
2023	J	`jnl`	ChessGPT: Bridging Policy Learning and Language Modeling. CoRR Xidong Feng, Yicheng Luo, Ziyan Wang, Hongrui Tang, Mengyue Yang, Kun Shao, David Mguni, Yali Du, Jun Wang
2023	A*	`conf`	MANSA: Learning Fast and Slow in Multi-Agent Systems. ICML David Henry Mguni, Haojun Chen, Taher Jafferjee, Jianhong Wang, Longfei Yue, Xidong Feng, Stephen Marcus McAleer, Feifei Tong, Jun Wang, Yaodong Yang
2023	J	`jnl`	MANSA: Learning Fast and Slow in Multi-Agent Systems. CoRR David Mguni, Taher Jafferjee, Haojun Chen, Jianhong Wang, Long Fei, Xidong Feng, Stephen McAleer, Feifei Tong, Jun Wang, Yaodong Yang
2023	J	`jnl`	Pangu-Agent: A Fine-Tunable Generalist Agent with Structured Reasoning. CoRR 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
2023	J	`jnl`	Time-Series Representation Learning in Topology Prediction for Passive Optical Network of Telecom Operators. Sensors Haoran Zhao, Yuchen Fang, Yuxiang Zhao, Zheng Tian, Weinan Zhang, Xidong Feng, Li Yu, Wei Li, Hulei Fan, Tiema Mu
2023	J	`jnl`	TorchOpt: An Efficient Library for Differentiable Optimization. J. Mach. Learn. Res. Jie Ren, Xidong Feng, Bo Liu, Xuehai Pan, Yao Fu, Luo Mai, Yaodong Yang
2022	A*	`conf`	A Theoretical Understanding of Gradient Bias in Meta-Reinforcement Learning. NeurIPS Bo Liu, Xidong Feng, Jie Ren, Luo Mai, Rui Zhu, Haifeng Zhang, Jun Wang, Yaodong Yang
2022	J	`jnl`	Contextual Transformer for Offline Meta Reinforcement Learning. CoRR Runji Lin, Ye Li, Xidong Feng, Zhaowei Zhang, Xian Hong Wu Fung, Haifeng Zhang, Jun Wang, Yali Du, Yaodong Yang
2022	J	`jnl`	Heterogeneous-Agent Mirror Learning: A Continuum of Solutions to Cooperative MARL. CoRR Jakub Grudzien Kuba, Xidong Feng, Shiyao Ding, Hao Dong, Jun Wang, Yaodong Yang
2022	J	`jnl`	TorchOpt: An Efficient Library for Differentiable Optimization. CoRR Jie Ren, Xidong Feng, Bo Liu, Xuehai Pan, Yao Fu, Luo Mai, Yaodong Yang
2022	A*	`conf`	Towards Human-Level Bimanual Dexterous Manipulation with Reinforcement Learning. NeurIPS Yuanpei Chen, Tianhao Wu, Shengjie Wang, Xidong Feng, Jiechuan Jiang, Zongqing Lu, Stephen McAleer, Hao Dong, Song-Chun Zhu, Yaodong Yang
2022	J	`jnl`	Towards Human-Level Bimanual Dexterous Manipulation with Reinforcement Learning. CoRR Yuanpei Chen, Yaodong Yang, Tianhao Wu, Shengjie Wang, Xidong Feng, Jiechuang Jiang, Stephen Marcus McAleer, Hao Dong, Zongqing Lu, Song-Chun Zhu
2021	A	`conf`	CMML: Contextual Modulation Meta Learning for Cold-Start Recommendation. CIKM Xidong Feng, Chen Chen, Dong Li, Mengchen Zhao, Jianye Hao, Jun Wang
2021	J	`jnl`	CMML: Contextual Modulation Meta Learning for Cold-Start Recommendation. CoRR Xidong Feng, Chen Chen, Dong Li, Mengchen Zhao, Jianye Hao, Jun Wang
2021	J	`jnl`	Discovering Multi-Agent Auto-Curricula in Two-Player Zero-Sum Games. CoRR Xidong Feng, Oliver Slumbers, Yaodong Yang, Ziyu Wan, Bo Liu, Stephen McAleer, Ying Wen, Jun Wang
2021	A*	`conf`	Neural Auto-Curricula in Two-Player Zero-Sum Games. NeurIPS Xidong Feng, Oliver Slumbers, Ziyu Wan, Bo Liu, Stephen McAleer, Ying Wen, Jun Wang, Yaodong Yang
2021	J	`jnl`	Settling the Bias and Variance of Meta-Gradient Estimation for Meta-Reinforcement Learning. CoRR Bo Liu, Xidong Feng, Haifeng Zhang, Jun Wang, Yaodong Yang
2021	A*	`conf`	Towards Effective Context for Meta-Reinforcement Learning: an Approach based on Contrastive Learning. AAAI Haotian Fu, Hongyao Tang, Jianye Hao, Chen Chen, Xidong Feng, Dong Li, Wulong Liu
2020	A*	`conf`	MRI Reconstruction with Interpretable Pixel-Wise Operations Using Reinforcement Learning. AAAI Wentian Li, Xidong Feng, Haotian An, Xiang Yao Ng, Yu-Jin Zhang
2020	J	`jnl`	Towards Effective Context for Meta-Reinforcement Learning: an Approach based on Contrastive Learning. CoRR Haotian Fu, Hongyao Tang, Jianye Hao, Chen Chen, Xidong Feng, Dong Li, Wulong Liu
2019	—	`conf`	Vehicle Trajectory Prediction Using Intention-based Conditional Variational Autoencoder. ITSC Xidong Feng, Zhepeng Cen, Jianming Hu, Yi Zhang