Safe Reinforcement Learning and Adaptive Optimal Control With Applications to Obstacle Avoidance Problem-Reference-Cited by-同舟云学术

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Safe Reinforcement Learning and Adaptive Optimal Control With Applications to Obstacle Avoidance Problem

Published:2023 Issue: Volume: Page:1-14
ISSN:1545-5955
Container-title:IEEE Transactions on Automation Science and Engineering
language:
Short-container-title:IEEE Trans. Automat. Sci. Eng.

Author:

Wang Ke¹^ORCID,Mu Chaoxu¹^ORCID,Ni Zhen²^ORCID,Liu Derong³^ORCID

Affiliation:

1. School of Electrical and Information Engineering, Tianjin University, Tianjin, China

2. Department of Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, FL, USA

3. School of System Design and Intelligent Manufacturing, Southern University of Science and Technology, Shenzhen, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/8856/4358066/10239217.pdf?arnumber=10239217

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1. Approximate Optimal Indirect Control of an Unknown Agent Within a Dynamic Environment Using a Lyapunov-Based Deep Neural Network;2024 American Control Conference (ACC);2024-07-10

2. Integral reinforcement learning-based dynamic event-triggered safety control for multiplayer Stackelberg–Nash games with time-varying state constraints;Engineering Applications of Artificial Intelligence;2024-07

3. Autonomous Behavior Selection For Self-driving Cars Using Probabilistic Logic Factored Markov Decision Processes;Applied Artificial Intelligence;2024-03-11

4. Event-Triggered Optimal Tracking Control for Underactuated Surface Vessels via Neural Reinforcement Learning;IEEE Transactions on Industrial Informatics;2024

5. Multi-Zone HVAC Control With Model-Based Deep Reinforcement Learning;IEEE Transactions on Automation Science and Engineering;2024

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