Rule-Based Reinforcement Learning for Efficient Robot Navigation with Space Reduction-Reference-Cited by-同舟云学术

Rule-Based Reinforcement Learning for Efficient Robot Navigation with Space Reduction

Author:

Zhu Yuanyang¹,Wang Zhi²,Chen Chunlin³,Dong Daoyi⁴

Affiliation:

1. Department of Control and Systems Engineering, Nanjing University, 12581 Nanjing, China, 210093 (e-mail: yuanyang@smail.nju.edu.cn)

2. Department of Control and Systems Engineering, Nanjing University, 12581 Nanjing, Jiangsu, China, 210093 (e-mail: zhiwang@nju.edu.cn)

3. Department of Control and System Engineering, Nanjing University, 12581 Nanjing, Jiangsu, China, 210093 (e-mail: clchen@nju.edu.cn)

4. University of New South Wales, Canberra, Australian Capital Territory, Australia, 2600 (e-mail: daoyidong@gmail.com)

Funder

Australian Research Council

Synergistic Innovation Center of Jiangsu Modern Agricultural Equipment and Technology

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,Computer Science Applications,Control and Systems Engineering

Link

Cited by 23 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

3. Reinforcement Learning with Neighborhood Search and Self-learned Rules;2024 IEEE 13th Data Driven Control and Learning Systems Conference (DDCLS);2024-05-17

4. Learn to Navigate in Dynamic Environments with Normalized LiDAR Scans;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

5. A GenAI Ontology for Academic Literacies Teaching and Learning Practices;Advances in Educational Technologies and Instructional Design;2024-03-22