Lyapunov Stability Regulation of Deep Reinforcement Learning Control with Application to Automated Driving-Reference-Cited by-同舟云学术

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Lyapunov Stability Regulation of Deep Reinforcement Learning Control with Application to Automated Driving

Published:2023-05-31 Issue: Volume: Page:
ISSN:
Container-title:2023 American Control Conference (ACC)
language:
Short-container-title:

Author:

Hejase Bilal¹,Ozguner Umit¹

Affiliation:

1. The Ohio State University,Department of Electrical and Computer Engineering,Columbus,OH,USA,43210

Funder

United States Department of Transportation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10155646/10155787/10155918.pdf?arnumber=10155918

Reference22 articles.

1. Learning stable deep dynamics models;kolter;Advances in neural information processing systems,2019

2. Formal Synthesis of Lyapunov Neural Networks

3. Offline reinforcement learning for autonomous driving with safety and exploration enhancement;shi,2021

4. Lyapunovstable neural-network control;dai,2021

5. An environment for autonomous driving decision-making;leurent,2018

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Stability and Safety Learning Methods for Legged Robots;Robotics;2024-01-17

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