no code implementations • 3 Feb 2024 • Haobin Jiang, Ziluo Ding, Zongqing Lu
The other is how agents can explore in a coordinated way.
no code implementations • 4 Aug 2021 • Xiaopeng Yu, Jiechuan Jiang, Wanpeng Zhang, Haobin Jiang, Zongqing Lu
When one agent interacts with a multi-agent environment, it is challenging to deal with various opponents unseen before.
no code implementations • 10 Jun 2021 • Haobin Jiang, Yifan Yu, Zongqing Lu
In multi-agent reinforcement learning, the inherent non-stationarity of the environment caused by other agents' actions posed significant difficulties for an agent to learn a good policy independently.