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Reinforcement Learning Algorithm Selection

Published in arXiv (Cornell University) • Jan 30, 2017
Authors:
Romain Laroche
,
Raphaël Féraud

Abstract

This paper formalises the problem of online algorithm selection in the context of Reinforcement Learning. The setup is as follows: given an episodic task and a finite number of off-policy RL algorithms, a meta-algorithm has to decide which RL algorithm is in control during the next episode so as to ...

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