Transfer Learning in Deep Reinforcement Learning: A Survey-Reference-Cited by-同舟云学术

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Transfer Learning in Deep Reinforcement Learning: A Survey

Published:2023-11-01 Issue:11 Volume:45 Page:13344-13362
ISSN:0162-8828
Container-title:IEEE Transactions on Pattern Analysis and Machine Intelligence
language:
Short-container-title:IEEE Trans. Pattern Anal. Mach. Intell.

Author:

Zhu Zhuangdi¹^ORCID,Lin Kaixiang¹^ORCID,Jain Anil K.¹^ORCID,Zhou Jiayu¹^ORCID

Affiliation:

1. Department of Computer Science and Engineering, Michigan State University, East Lansing, MI, USA

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Vision and Pattern Recognition,Software

Link

https://ieeexplore.ieee.org/ielam/34/10269680/10172347-aam.pdf

Reference184 articles.

1. Generalizing goal-conditioned reinforcement learning with variational causal reasoning;ding,2022

2. Improving policy optimization with generalist-specialist learning;jia;Proc Int Conf Mach Learn,2022

3. Learning from limited demonstrations;kim;Proc Int Conf Neural Inf Process,2013

4. A Survey of Zero-shot Generalisation in Deep Reinforcement Learning

5. Modular multitask reinforcement learning with policy sketches;andreas;Proc Int Conf Mach Learn,2017

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