Breaking the deadly triad with a target network

Breaking the deadly triad with a target network

The deadly triad refers to the instability of a reinforcement learning algorithm when it employs off-policy learning, function approximation, and bootstrapping simultaneously. In this paper, we investigate the target network as a tool for breaking the deadly triad, providing theoretical support for...

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Bibliografiske detaljer
Main Authors:	Zhang, S, Yao, H, Whiteson, S
Format:	Conference item
Sprog:	English
Udgivet:	PMLR 2021

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