1 code implementation • 26 Oct 2022 • Heng Dong, Tonghan Wang, Jiayuan Liu, Chongjie Zhang
Modular Reinforcement Learning (RL) decentralizes the control of multi-joint robots by learning policies for each actuator.
1 code implementation • 20 Dec 2021 • Mingwei Zhang, Jiayuan Liu, Weipu Zhang, Ke Deng, Hai Dong, Ying Liu
We propose a novel software service recommendation model to help users find their suitable repositories in GitHub.
no code implementations • 29 Sep 2021 • Heng Dong, Tonghan Wang, Jiayuan Liu, Chi Han, Chongjie Zhang
Promoting cooperation among self-interested agents is a long-standing and interdisciplinary problem, but receives less attention in multi-agent reinforcement learning (MARL).
no code implementations • 23 Apr 2021 • Heng Dong, Tonghan Wang, Jiayuan Liu, Chi Han, Chongjie Zhang
We propose a novel learning framework to encourage homophilic incentives and show that it achieves stable cooperation in both SSDs of public goods and tragedy of the commons.