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Sep, 2020
深度强化学习中的迁移学习：综述
Transfer Learning in Deep Reinforcement Learning: A Survey
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Zhuangdi Zhu, Kaixiang Lin, Jiayu Zhou
TL;DR
调查了深度强化学习中迁移学习方法的最新进展，提供了对目标，方法，兼容强化学习骨架以及实际应用等方面分析的框架，并从强化学习的角度探讨了迁移学习与其他相关话题之间的联系和潜在挑战。
Abstract
This paper surveys the field of
transfer learning
in the problem setting of
reinforcement learning
(RL). RL has been the key solution to sequential decision-making problems. Along with the fast advance of RL in v
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