Path Planning Model Based on Constrained Policy Iteration
Author:
Affiliation:
1. Shanghai Jiao Tong University,Department of Automation,Shanghai,China,200240
Funder
National Key Research and Development Program of China
National Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9901509/9901494/09902612.pdf?arnumber=9902612
Reference19 articles.
1. Modeling of route planning system based on Q value-based dynamic programming with multi-agent reinforcement learning algorithms
2. The comparison of A* algorithm and steepest descent method for path planning. Society of Photo-optical Instrumentation Engineers;zhang;Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series,0
3. Acquisition of Automated Guided Vehicle Route Planning Policy Using Deep Reinforcement Learning
4. 10.1162/jmlr.2003.4.6.1107
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1. A Study of Path Planning for Multi- UAVs in Random Obstacle Environment Based on Improved Artificial Potential Field Method;2022 China Automation Congress (CAC);2022-11-25
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