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 Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 11 | 2020 |
F2A2: Flexible Fully-decentralized Approximate Actor-critic for Cooperative Multi-agent Reinforcement Learning W Li, B Jin, X Wang, J Yan, H Zha arXiv preprint arXiv:2004.11145, 2020 | 3 | 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 arXiv preprint arXiv:2002.04235, 2020 | 2 | 2020 |
Distributed and parallel ADMM for structured nonconvex optimization problem X Wang, J Yan, B Jin, W Li IEEE transactions on cybernetics, 2019 | 2 | 2019 |
SparseMAAC: Sparse attention for multi-agent reinforcement learning W Li, B Jin, X Wang International Conference on Database Systems for Advanced Applications, 96-110, 2019 | 1 | 2019 |
Dealing with Non-Stationarity in Multi-Agent Reinforcement Learning via Trust Region Decomposition W Li, X Wang, B Jin, J Sheng, H Zha arXiv preprint arXiv:2102.10616, 2021 | | 2021 |
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 | | 2021 |
Hyper-Meta Reinforcement Learning with Sparse Reward Y Hua, X Wang, B Jin, W Li, J Yan, X He, H Zha arXiv preprint arXiv:2002.04238, 2020 | | 2020 |