no code implementations • 25 Jun 2022 • Zhixuan Liang, Jiannong Cao, Shan Jiang, Divya Saxena, Huafeng Xu
To tackle the issues, we propose a hierarchical reinforcement learning approach with high-level decision-making and low-level individual control for efficient policy search.
no code implementations • 28 Sep 2020 • Bingjie Yan, Yize Zhou, Boyi Liu, Jun Wang, Yuhan Zhang, Li Liu, Xiaolan Nie, Zhiwei Fan, Zhixuan Liang
However, there is a lack of a sufficiently reasonable contribution measurement mechanism to distribute the reward for each agent.
no code implementations • 8 Sep 2020 • Boyi Liu, Bingjie Yan, Yize Zhou, Zhixuan Liang, Cheng-Zhong Xu
Furthermore, we developed federated learning open-source software based on FedCM.