publications

publications by categories in reversed chronological order. generated by jekyll-scholar.

2023

  1. ICML 2024
    Alphazero-like Tree-Search can Guide Large Language Model Decoding and Training
    Xidong Feng*, Ziyu Wan*, Muning Wen, Ying Wen, Weinan Zhang, and Jun Wang
    arXiv preprint arXiv:2309.17179, 2023
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  2. Sensors
    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, and 3 more authors
    Sensors, 2023
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  3. JMLR
    Heterogeneous-Agent Reinforcement Learning
    Yifan Zhong*, Jakub Grudzien*, Xidong Feng*, Siyi Ji, Jiaming Ji, and Yaodong Yang
    Journal of Machine Learning Research, 2023
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  4. JMLR
    TorchOpt: An Efficient Library for Differentiable Optimization
    Jie Ren*, Xidong Feng*, Bo Liu*, Xuehai Pan*, Yao Fu, Luo Mai, and Yaodong Yang
    Journal of Machine Learning Research, 2023
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  5. ICML
    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, and 3 more authors
    In International Conference on Machine Learning, 2023
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  6. NeurIPS 2023
    ChessGPT: Bridging Policy Learning and Language Modeling
    Xidong Feng, Yicheng Luo, Ziyan Wang, Hongrui Tang, Mengyue Yang, Kun Shao, David Mguni, and 2 more authors
    Advances in Neural Information Processing Systems, 2023
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2022

  1. NeurIPS
    A Theoretical Understanding of Gradient Bias in Meta-Reinforcement Learning
    Xidong Feng*, Bo Liu*, Jie Ren, Luo Mai, Rui Zhu, Haifeng Zhang, Jun Wang, and 1 more author
    In NeurIPS, 2022
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  2. NeurIPS
    Towards human-level bimanual dexterous manipulation with reinforcement learning
    Yuanpei Chen, Tianhao Wu, Shengjie Wang, Xidong Feng, Jiechuan Jiang, Zongqing Lu, Stephen McAleer, and 3 more authors
    Advances in Neural Information Processing Systems, 2022
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  3. arxiv
    Contextual Transformer for Offline Meta Reinforcement Learning
    Runji Lin, Ye Li, Xidong Feng, Zhaowei Zhang, Xian Hong Wu Fung, Haifeng Zhang, Jun Wang, and 2 more authors
    arXiv preprint arXiv:2211.08016, 2022
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2021

  1. NeurIPS
    Neural auto-curricula in two-player zero-sum games
    Xidong Feng*, Oliver Slumbers*, Ziyu Wan, Bo Liu, Stephen McAleer, Ying Wen, Jun Wang, and 1 more author
    Advances in Neural Information Processing Systems, 2021
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  2. AAAI
    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, and Wulong Liu
    In Proceedings of the AAAI Conference on Artificial Intelligence, 2021
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  3. CIKM
    Cmml: Contextual modulation meta learning for cold-start recommendation
    Xidong Feng, Chen Chen, Dong Li, Mengchen Zhao, Jianye Hao, and Jun Wang
    In Proceedings of the 30th ACM International Conference on Information & Knowledge Management, 2021
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2020

  1. AAAI
    Mri reconstruction with interpretable pixel-wise operations using reinforcement learning
    Wentian* Li, Xidong* Feng, Haotian An, Xiang Yao Ng, and Yu-Jin Zhang
    In Proceedings of the AAAI conference on artificial intelligence, 2020
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2019

  1. ITSC
    Vehicle trajectory prediction using intention-based conditional variational autoencoder
    Xidong Feng, Zhepeng Cen, Jianming Hu, and Yi Zhang
    In 2019 IEEE Intelligent Transportation Systems Conference (ITSC), 2019
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