Using Deep Reinforcement Learning And Formal Verification in Safety Critical Systems: Strategies and Challenges-Reference-Cited by-同舟云学术

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Using Deep Reinforcement Learning And Formal Verification in Safety Critical Systems: Strategies and Challenges

Published:2023-10-22 Issue: Volume:69 Page:834-842
ISSN:
Container-title:2023 IEEE 23rd International Conference on Software Quality, Reliability, and Security Companion (QRS-C)
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Author:

Sharma Satyam¹,Rahim Muhammad Abdul Basit Ur¹,Hussain Shahid²,Abid Muhammad Rizwan³,Liu Tairan⁴

Affiliation:

1. California State University,Computer Engineering & Computer Science,Long Beach,CA,USA

2. Computer Science and Software Engineering, Penn State University,Behrend,PA,USA

3. Florida Polytechnic University,Computer Science,Lakeland,FL,USA

4. Mechanical and Aerospace Engineering, California State University,Long Beach,CA,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10429824/10429825/10429991.pdf?arnumber=10429991

Reference60 articles.

1. Transfer Learning in Deep Reinforcement Learning: A Survey

2. Object-sensitive Deep Reinforcement Learning

3. Reinforcement learning in robotics: A survey

4. A survey of deep network solutions for learning control in robotics: From reinforcement to imitation;Lei;arXiv preprint,2016

5. Safe Reinforcement Learning via Shielding

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