Trajectory Aware Deep Reinforcement Learning Navigation Using Multichannel Cost Maps

Deep reinforcement learning (DRL)-based navigation in an environment with dynamic obstacles is a challenging task due to the partially observable nature of the problem. While DRL algorithms are built around the Markov property (assumption that all the necessary information for making a decision is c...

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Bibliographic Details

Published in:	Robotics
Main Authors:	Tareq A. Fahmy, Omar M. Shehata, Shady A. Maged
Format:	Article
Language:	English
Published:	MDPI AG 2024-11-01
Subjects:	deep reinforcement learning navigation multichannel cost map trajectory aware spatial and temporal representation POMDP (partially observable Markov decision process)
Online Access:	https://www.mdpi.com/2218-6581/13/11/166