A Deep Reinforcement Learning Method for Mobile Robot Path Planning in Unknown Environments
Author:
Affiliation:
1. Beihang University,School of Automation Science and Electrical Engineering,Beijing,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9727224/9727236/09727670.pdf?arnumber=9727670
Reference12 articles.
1. Sampling-based A* algorithm for robot path-planning
2. From perception to decision: A data-driven approach to end-to-end motion planning for autonomous ground robots
3. Efficient Navigation of Colloidal Robots in an Unknown Environment via Deep Reinforcement Learning
4. Deep learning helicopter dynamics models
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1. Trans-UTPA: PSO and MADDPG based multi-UAVs trajectory planning algorithm for emergency communication;Frontiers in Neurorobotics;2023-01-24
2. USV Path Planning Based on Adaptive Fuzzy Reward;Rough Sets;2022
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