Publications

Wenzhe Li, Yong Lin, Mengzhou Xia, Chi Jin (2024). Rethinking Mixture-of-Agents: Is Mixing Different Large Language Models Beneficial?. In Submission.

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Wenzhe Li, Zihan Ding, Seth Karten, Chi Jin (2024). FightLadder: A Benchmark for Competitive Multi-Agent Reinforcement Learning. ICML 2024, ICLR AGI Workshop 2024.

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Wenzhe Li, Hao Luo, Zichuan Lin, Chongjie Zhang, Zongqing Lu, Deheng Ye (2023). A Survey on Transformers in Reinforcement Learning. TMLR.

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Yiqin Yang, Hao Hu, Wenzhe Li, Siyuan Li, Jun Yang, Qianchuan Zhao, Chongjie Zhang (2022). Flow to Control: Offline Reinforcement Learning with Lossless Primitive Discovery. AAAI 2023.

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Xi Chen, Ali Ghadirzadeh, Tianhe Yu, Yuan Gao, Jianhao Wang, Wenzhe Li, Bin Liang, Chelsea Finn, Chongjie Zhang (2022). Latent-Variable Advantage-Weighted Policy Optimization for Offline RL. NeurIPS 2022, L-DOD Workshop at RSS 2022.

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Rui Yang, Yiming Lu, Wenzhe Li, Hao Sun, Meng Fang, Yali Du, Xiu Li, Lei Han, Chongjie Zhang (2022). Rethinking Goal-conditioned Supervised Learning and Its Connection to Offline RL. ICLR 2022.

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Jianhao Wang, Wenzhe Li, Haozhe Jiang, Guangxiang Zhu, Siyuan Li, Chongjie Zhang (2021). Offline Reinforcement Learning with Reverse Model-based Imagination. NeurIPS 2021.

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Chenlin Meng, Yang Song, Wenzhe Li, Stefano Ermon (2021). Estimating High Order Gradients of the Data Distribution by Denoising. NeurIPS 2021.

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Wenzhe Li, Zhe Zeng, Antonio Vergari, Guy Van den Broeck (2021). Tractable Computation of Expected Kernels. UAI 2021.

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