SMIX(λ): Enhancing Centralized Value

SMIX(λ) is a method for cooperative multi-agent reinforcement learning that uses an off-policy training approach to estimate a centralized value function.

Data and Resources

Cite this as

Xinghu Yao, Chao Wen, Yuhui Wang, Xiaoyang Tan (2025). Dataset: SMIX(λ): Enhancing Centralized Value. https://doi.org/10.57702/jnggwmso

DOI retrieved: January 2, 2025

Additional Info

Field Value
Created January 2, 2025
Last update January 2, 2025
Defined In https://doi.org/10.48550/arXiv.1911.04094
Author Xinghu Yao
More Authors
Chao Wen
Yuhui Wang
Xiaoyang Tan
Homepage https://github.com/chaovven/SMIX