,DT{λ)

Haoxing Tian1, Ioannis Ch Paschalidis2, Alex Olshevsky2

  • 1Department of Electrical Engineering, Boston University, Boston, MA, USA.

IEEE control systems letters
|February 14, 2025
PubMed
概括

分布增强学习实现了使用TD (λ) 方法进行政策评估的线性加快. 通过独立采样和一种新的"一拍平均"技术,N代理可以更快地评估政策N倍,从而减少通信开销.

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