Efficient Bayesian Policy Reuse With a Scalable Observation Model in Deep Reinforcement Learning-Reference-Cited by-同舟云学术

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Efficient Bayesian Policy Reuse With a Scalable Observation Model in Deep Reinforcement Learning

Published:2023 Issue: Volume: Page:1-13
ISSN:2162-237X
Container-title:IEEE Transactions on Neural Networks and Learning Systems
language:
Short-container-title:IEEE Trans. Neural Netw. Learning Syst.

Author:

Liu Jinmei¹,Wang Zhi¹^ORCID,Chen Chunlin¹^ORCID,Dong Daoyi²^ORCID

Affiliation:

1. Department of Control Science and Intelligent Engineering, School of Management and Engineering, and the Research Center for Novel Technology of Intelligent Equipment, Nanjing University, Nanjing, China

2. School of Engineering and Information Technology, University of New South Wales, Canberra, ACT, Australia

Funder

National Natural Science Foundation of China

Australian Research Council’s Future Fellowship funding scheme

Natural Science Foundation of Jiangsu Province of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Software

Link

http://xplorestaging.ieee.org/ielx7/5962385/6104215/10149182.pdf?arnumber=10149182

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