我的 Google 学术页面在这里， 其中包含包括预印本在内的论文完整列表。

Journals

[J4] Flexible Fully-Decentralized Approximate Actor-Critic for Cooperative Multi-Agent Reinforcement Learning. Wenhao Li, Bo Jin, Xiangfeng Wang, Junchi Yan, Hongyuan Zha. Journal of Machine Learning Research, (JMLR, CCF-A), 24.178: 1-75, 2023, long paper (75 pages).

[J3] Structured Cooperative Reinforcement Learning with Time-varying Composite Action Space. Wenhao Li, Xiangfeng Wang, Bo Jin, Dijun Luo, Hongyuan Zha. IEEE Transactions on Pattern Analysis and Machine Intelligence, (TPMAI, CCF-A), 44.11: 8618-8634, 2022. IF: 24.314

[J2] Distributed and Parallel ADMM for Structured Nonconvex Optimization Problem. Xiangfeng Wang, Junchi Yan, Bo Jin, Wenhao Li. IEEE Transactions on Cybernetics, (TCYB, SCI-Q1), 51.9: 4540-4552, 2019. IF: 19.118

[J1] Learning Structured Communication for Multi-Agent Reinforcement Learning. Junjie Sheng, Xiangfeng Wang, Bo Jin, Junchi Yan, Wenhao Li, Tsung-Hui Chang, Jun Wang, Hongyuan Zha. Journal of Autonomous Agents and Multiagent Systems, (JAAMAS, CCF-B), 36.2: 50, 2022.

Conferences

[C13] Carbon Market Simulation with Adaptive Mechanism Design. Han Wang, Wenhao Li, Hongyuan Zha, Baoxiang Wang. International Joint Conference on Artificial Intelligence (IJCAI, CCF-A), 2024.

[C12] Efficient Planning with Latent Diffusion. Wenhao Li. International Conference on Learning Representations (ICLR, TH-CPL-A), 2024.

[C11] Hierarchical Diffusion for Offline Decision Making. Wenhao Li, Xiangfeng Wang, Bo Jin, Hongyuan Zha. International Conference on Machine Learning (ICML, CCF-A), 2023.

[C10] Dealing with Non-Stationarity in Multi-Agent Reinforcement Learning via Trust Region Decomposition. Wenhao Li, Xiangfeng Wang, Bo Jin, Junjie Sheng, Hongyuan Zha. International Conference on Learning Representations (ICLR, TH-CPL-A), 2022.

[C9] Information Design in Multi-Agent Reinforcement Learning. Yue Lin, Wenhao Li, Hongyuan Zha, Baoxiang Wang. Neural Information Processing Systems (NeurIPS, CCF-A), 2023.

[C8] Iteratively-Refined Interactive 3D Medical Image Segmentation with Multi-Agent Reinforcement Learning. Xuan Liao, Wenhao Li, Qisen Xu, Xiangfeng Wang, Bo Jin, Xiaoyun Zhang, Yanfeng Wang, Ya Zhang. The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR, CCF-A), 2020.

[C7] VMAgent: Scheduling Simulator for Reinforcement Learning. Sheng, Junjie, Shengliang Cai, Haochuan Cui, Wenhao Li, Yun Hua, Bo Jin, Wenli Zhou et al. International Joint Conference on Artificial Intelligence (IJCAI, CCF-A), 2022.

[C6] HMRL: Hyper-Meta Learning for Sparse Reward Reinforcement Learning Problem. Yun Hua, Xiangfeng Wang, Bo Jin, Wenhao Li, Junchi Yan, Xiaofeng He, Hongyuan Zha. International Conference on Knowledge Discovery and Data Mining (KDD, CCF-A), 2021.

[C5] Diverse Policy Optimization for Structured Action Space. Wenhao Li, Baoxiang Wang, Shanchao Yang and Hongyuan Zha. International Conference on Autonomous Agents and Multiagent Systems (AAMAS, CCF-B), Oral, 2023.

[C4] Model-Based Reinforcement Learning for Auto-Bidding in Display Advertising. Shuang Chen, Qisen Xu, Liang Zhang, Yongbo Jin, Wenhao Li and Linjian Mo. International Conference on Autonomous Agents and Multiagent Systems (AAMAS, CCF-B), Corresponding author, Oral, 2023.

[C3] Structured Diversification Emergence via Reinforced Organization Control and Hierachical

Consensus Learning. Wenhao Li, Xiangfeng Wang, Bo Jin, Junjie Sheng, Yun Hua, Hongyuan Zha.

International Conference on Autonomous Agents and Multiagent Systems (AAMAS, CCF-B), Oral, 2021.

[C2] Multi-Agent Path Finding with Prioritized Communication Learning. Wenhao Li, Hongjun Chen, Bo Jin, Wenzhe Tan, Hongyuan Zha and Xiangfeng Wang. International Conference on Robotics and Automation (ICRA, CCF-B), 2022.

[C1] Learning Optimal “Pigovian Tax” in Sequential Social Dilemmas. Yun Hua, Shang Gao, Wenhao Li, Bo Jin, Xiangfeng Wang and Hongyuan Zha. International Conference on Autonomous Agents and Multiagent Systems (AAMAS, CCF-B), Extended abstract, 2023.