AI-QMIX: Attention and Imagination for Dynamic Multi-Agent Reinforcement Learning

By Shariq Iqbal, Christian Schröder de Witt, Bei Peng, Wendelin Böhmer, Shimon Whiteson, Fei Sha. 2020

23 citations recorded by the source corpus.

Subfields: Reinforcement Learning

How researchers see this paper

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

In Reinforcement Learning

1. Yang Jun
2. Chenghao Li
3. Yiwen Lu
4. Yiqin Yang
5. Xiaoteng Ma
6. Qianchuan Zhao

Citations in the corpus

• Modeling the Interaction between Agents in Cooperative Multi-Agent Reinforcement Learning (2021, methodology): “Value decompositionmethods are widely used in value-basedMARL algorithms [16, 27].”