Safe and Stable RL (S2RL) Driving Policies Using Control Barrier and Control Lyapunov Functions
Author:
Affiliation:
1. Department of Computer Science, Engineering, IIT Kharagpur, Kharagpur, West Bengal, India
Funder
Department of Science and Technology
TCS Research Scholarship
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Artificial Intelligence,Control and Optimization,Automotive Engineering
Link
http://xplorestaging.ieee.org/ielx7/7274857/10076483/09737420.pdf?arnumber=9737420
Reference44 articles.
1. Enhancing the Performance of a Safe Controller Via Supervised Learning for Truck Lateral Control
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4. Control Barrier Function Based Quadratic Programs for Safety Critical Systems
5. End-to-End Safe Reinforcement Learning through Barrier Functions for Safety-Critical Continuous Control Tasks
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