Iteratively-Refined Interactive 3d Medical Image Segmentation with Multi-Agent Reinforcement Learning X Liao, W Li, Q Xu, X Wang, B Jin, X Zhang, Y Wang, Y Zhang CVPR 2020, 2020 | 116 | 2020 |
Learning structured communication for multi-agent reinforcement learning J Sheng, X Wang, B Jin, J Yan, W Li, TH Chang, J Wang, H Zha AAMAS 2022, 2022 | 51 | 2022 |
Multi-Agent Path Finding with Prioritized Communication Learning W Li*, H Chen*, B Jin, W Tan, H Zha, X Wang ICRA 2022, 2022 | 29 | 2022 |
F2A2: Flexible fully-decentralized approximate actor-critic for cooperative multi-agent reinforcement learning W Li, B Jin, X Wang, J Yan, H Zha JMLR 2023, 2023 | 23 | 2023 |
Distributed and parallel ADMM for structured nonconvex optimization problem X Wang, J Yan, B Jin, W Li IEEE Transactions on Cybernetics, 2019 | 22 | 2019 |
Exploring Large Language Model based Intelligent Agents: Definitions, Methods, and Prospects Y Cheng, C Zhang, Z Zhang, X Meng, S Hong, W Li, Z Wang, Z Wang, ... arXiv preprint arXiv:2401.03428, 2024 | 21 | 2024 |
Dealing with Non-Stationarity in MARL via Trust Region Decomposition W Li, X Wang, B Jin, J Sheng, H Zha ICLR 2022, 2022 | 18* | 2022 |
Hierarchical Diffusion for Offline Decision Making W Li, X Wang, B Jin, H Zha ICML 2023, 2023 | 17 | 2023 |
Structured Cooperative Reinforcement Learning with Time-varying Composite Action Space W Li, X Wang, B Jin, D Luo, H Zha TPAMI 2022, 2022 | 16 | 2022 |
Semantically Aligned Task Decomposition in Multi-Agent Reinforcement Learning W Li, D Qiao, B Wang, X Wang, B Jin, H Zha EC 2024 Workshop on Foundation Models and Game Theory (FMGT 2024), 2023 | 14 | 2023 |
HMRL: Hyper-Meta Learning for Sparse Reward Reinforcement Learning Problem Y Hua, X Wang, B Jin, W Li, J Yan, X He, H Zha KDD 2021, 2021 | 7 | 2021 |
Temporally-Extended Prompts Optimization for SAM in Interactive Medical Image Segmentation C Shen, W Li, Y Zhang, X Wang ILHF@ICML 2023, ML4BMI@BIBM 2023, 2023 | 6 | 2023 |
VMAgent: A Practical Virtual Machine Scheduling Platform J Sheng, S Cai, H Cui, W Li, Y Hua, B Jin, W Zhou, Y Hu, L Zhu, Q Peng, ... IJCAI 2022, 2022 | 6* | 2022 |
Structured Diversification Emergence via Reinforced Organization Control and Hierarchical Consensus Learning W Li, X Wang, B Jin, J Sheng, Y Hua, H Zha AAMAS 2021, 2021 | 6 | 2021 |
SparseMAAC: Sparse attention for multi-agent reinforcement learning W Li, B Jin, X Wang DASFAA 2019, 2019 | 6 | 2019 |
Information Design in Multi-Agent Reinforcement Learning Y Lin, W Li, H Zha, B Wang NeurIPS 2023, 2023 | 4 | 2023 |
Learning Optimal “Pigovian Tax” in Sequential Social Dilemmas Y Hua, S Gao, W Li, B Jin, X Wang, H Zha AAMAS 2023, 2023 | 4 | 2023 |
Interactive 3D Medical Image Segmentation with SAM 2 C Shen, W Li, Y Shi, X Wang arXiv preprint arXiv:2408.02635, 2024 | 2 | 2024 |
Can language agents be alternatives to PPO? A Preliminary Empirical Study On OpenAI Gym J Sheng, Z Huang, C Shen, W Li, Y Hua, B Jin, H Zha, X Wang arXiv preprint arXiv:2312.03290, 2023 | 2 | 2023 |
Learning Roles with Emergent Social Value Orientations W Li, X Wang, B Jin, J Lu, H Zha arXiv preprint arXiv:2301.13812, 2023 | 2 | 2023 |