You're currently viewing an old version of this dataset. To see the current version, click here.

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

This dataset has no data

Cite this as

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

Private DOI This DOI is not yet resolvable.
It is available for use in manuscripts, and will be published when the Dataset is made public.

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