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Connecting Exploration, Generalization, and Planning in Correlated Trees

2022-05-11

Abstract excerpt

<p>Human reinforcement learning (RL) is characterized by different challenges. Exploration has been studied extensively in multi-armed bandits, while planning has been investigated in multi-step decision tasks. More recent work has added structured rewards to study generalization. However, past studies have often focused on a single one of these aspects, making it hard to compare results. We propose a generative m...

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Identifiers and source

Literature Corpus work
3ad0de67-72d3-5f19-b93c-116e21744bce
DOI
10.31234/osf.io/72wda
Open publication

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