A Guided-to-Autonomous Policy Learning Method of Deep Reinforcement Learning in Path Planning
Author:
Affiliation:
1. School of Astronautics, Northwestern Polytechnical University,Xi'an,China
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10591777/10591797/10591821.pdf?arnumber=10591821
Reference25 articles.
1. Path Planning in Uncertain Environment with Moving Obstacles using Warm Start Cross Entropy
2. Rapidly-Exploring Random Trees: Progress and Prospects
3. An Overall Configuration Planning Method of Continuum Hyper-Redundant Manipulators Based on Improved Artificial Potential Field Method
4. FNPG-NH: A Reinforcement Learning Framework for Flexible Needle Path Generation With Nonholonomic Constraints
5. Deep reinforcement learning with dynamic window approach based collision avoidance path planning for maritime autonomous surface ships
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