A Hierarchical Goal-Biased Curriculum for Training Reinforcement Learning

Hierarchy and curricula are two techniques commonly used to improve training for Reinforcement Learning (RL) agents. Yet few works have examined how to leverage hierarchical planning to generate a curriculum for training RL Options. We formalize a goal skill that extends an RL Option with state-base...

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Bibliographic Details

Published in:	Proceedings of the International Florida Artificial Intelligence Research Society Conference
Main Authors:	Sunandita Patra, Mark Cavolowsky, Onur Kulaksizoglu, Ruoxi Li, Laura Hiatt, Mark Roberts, Dana Nau
Format:	Article
Language:	English
Published:	LibraryPress@UF 2022-05-01
Subjects:	planning and learning goal biased curriculum reinforcement learning curriculum learning hierarchical planning
Online Access:	https://journals.flvc.org/FLAIRS/article/view/130720