Promoting Coordination through Policy Regularization in Multi-Agent Deep Reinforcement Learning

By Julien Roy, Paul Barde, Félix G. Harvey, Derek Nowrouzezahrai, C. Pal. 2019

24 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Tonghan Wang
2. Chenghao Li
3. Chongjie Zhang
4. Chengjie Wu
5. Jun Yang
6. Qianchuan Zhao
7. Yihan Wang
8. Jianhao Wang

Citations in the corpus

• Celebrating Diversity in Shared Multi-Agent Reinforcement Learning (2021, background): “[39] force each agent to predict others’ local policies and adds a coach for group experience alignment.”