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Mar, 2020
深度强化学习的自动课程学习:简要调查
Automatic Curriculum Learning For Deep RL: A Short Survey
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Rémy Portelas, Cédric Colas, Lilian Weng, Katja Hofmann, Pierre-Yves Oudeyer
TL;DR
本文介绍了自动课程学习(ACL)的相关文献,并对当前状态进行了概述,旨在促进现有概念的交叉和新思想的出现。ACL是深度强化学习成功的中坚力量,可用于改善样本效率和渐进性能,组织探索,鼓励泛化或解决稀疏奖励问题,等等。
Abstract
automatic curriculum learning
(ACL) has become a cornerstone of recent successes in
deep reinforcement learning
(DRL).These methods shape the learning trajectories of agents by challenging them with tasks adapted
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