UAV Path Planning Employing MPC-Reinforcement Learning Method Considering Collision Avoidance
Author:
Affiliation:
1. University of Luxembourg,Centre for Security, Reliability, and Trust,Luxembourg,Luxembourg
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10155645/10155789/10156232.pdf?arnumber=10156232
Reference26 articles.
1. Autonomous navigation of UAV in multi-obstacle environments based on a Deep Reinforcement Learning approach
2. A reinforcement learning‐based approach for modeling and coverage of an unknown field using a team of autonomous ground vehicles
3. Intelligent UAV Navigation: A DRL-QiER Solution
4. DRL-Based Improvement for Autonomous UAV Motion Path Planning in Unknown Environments
5. Online deep reinforcement learning for autonomous UAV navigation and exploration of outdoor environments;maciel-pearson,2019
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