Data-driven offline reinforcement learning approach for quadrotor’s motion and path planning

Author:

ZHAO Haoran,FU Hang,YANG Fan,QU Che,ZHOU Yaoming

Funder

Chinese Aeronautical Establishment Aeronautical Science Foundation

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference36 articles.

1. EGO-Planner: an ESDF-free gradient-based local planner for quadrotors;Zhou;IEEE Robot Autom Lett,2021

2. Levine S, Kumar A, Tucker G, et al. Offline reinforcement learning: tutorial, review, and perspectives on open problems. arXiv preprint:2005.01643; 2020.

3. A fast RRT algorithm for motion planning of autonomous road vehicles;Ma,2014

4. UAV path planning using potential field and modified receding horizon A* 3D algorithm;Khuswendi,2011

5. Explainable deep reinforcement learning for UAV autonomous path planning;He;Aerosp Sci Technol,2021

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