Spatio-Temporal Rule Constraint Guided Safe Reinforcement Learning for CPS
Author:
Affiliation:
1. Jiangsu Normal University,Xuzhou,China
2. Nanjing University of Aeronautics and Astronautics,Nanjing,China
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10314134/10314123/10314278.pdf?arnumber=10314278
Reference20 articles.
1. Hybrid AADL Modeling and Model Transformation for CPS Time and Space Properties Verification [J];chen;Journal of Software,2021
2. Formalising Traffic Rules for Accountability of Autonomous Vehicles
3. Lane Change Decision-making through Deep Reinforcement Learning with Rule-based Constraints
4. A comprehensive survey on safe reinforcement learning;garcía;J Mach Learn Res,2015
5. Safe Reinforcement Learning in Constrained Markov Decision Processes;wachi,2020
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