Global Multi-Phase Path Planning Through High-Level Reinforcement Learning

In this paper, we introduce the <italic>Global Multi-Phase Path Planning</italic> (<monospace><inline-formula><tex-math notation="LaTeX">$GMP^{3}$</tex-math></inline-formula></monospace>) algorithm in planner problems, which computes fast and...

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Bibliographic Details
Main Authors: Babak Salamat, Sebastian-Sven Olzem, Gerhard Elsbacher, Andrea M. Tonello
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Open Journal of Control Systems
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10613437/
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