Simulation of Coherent Excavator Operations in Earthmoving Tasks Based on Reinforcement Learning

Earthwork operations are critical to construction projects, with their safety and efficiency influenced by factors such as operator skill and working hours. Pre-construction simulation of these operations is essential for optimizing outcomes, providing key training for operators and improving safety...

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Bibliographic Details

Published in:	Buildings
Main Authors:	Yongyue Liu, Yaowu Wang, Zhenzong Zhou
Format:	Article
Language:	English
Published:	MDPI AG 2024-10-01
Subjects:	earthmoving reinforcement learning (RL) 3D excavator simulation hierarchical cumulative rewards mechanism dense rewards proximal policy optimization (PPO)
Online Access:	https://www.mdpi.com/2075-5309/14/10/3270