Context-Specific Representation Abstraction for Deep Option Learning

Hierarchical reinforcement learning has focused on discovering temporally extended actions, such as options, that can provide benefits in problems requiring extensive exploration. One promising approach that learns these options end-to-end is the option-critic (OC) framework. We examine and show in...

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Bibliographic Details
Published inarXiv.org
Main Authors Abdulhai, Marwa, Dong-Ki, Kim, Riemer, Matthew, Liu, Miao, Tesauro, Gerald, How, Jonathan P
Format Paper
LanguageEnglish
Published Ithaca Cornell University Library, arXiv.org 24.04.2022
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