Collision-Free Path Planning for Multiple Drones Based on Safe Reinforcement Learning

Collision-Free Path Planning for Multiple Drones Based on Safe Reinforcement Learning

Reinforcement learning (RL) has been shown to be effective in path planning. However, it usually requires exploring a sufficient number of state–action pairs, some of which may be unsafe when deployed in practical obstacle environments. To this end, this paper proposes an end-to-end planning method...

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Bibliographic Details
Main Authors: Hong Chen, Dan Huang, Chenggang Wang, Lu Ding, Lei Song, Hongtao Liu
Format: Article
Language:English
Published: MDPI AG 2024-09-01
Series:Drones
Subjects:
reinforcement learning
control barrier function
multiple agents
Online Access:https://www.mdpi.com/2504-446X/8/9/481
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