Adaptable automation with modular deep reinforcement learning and policy transfer-Reference-Cited by-同舟云学术

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Adaptable automation with modular deep reinforcement learning and policy transfer

Published:2021-08 Issue: Volume:103 Page:104296
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Raziei Zohreh,Moghaddam Mohsen

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference121 articles.

1. Interactive Q-learning approach for pick-and-place optimization of the die attach process in the semiconductor industry;Ahn;Math. Probl. Eng.,2019

2. Modular meta-learning;Alet,2018

3. Neural module networks;Andreas,2016

4. Artificial intelligence in advanced manufacturing: current status and future outlook;Arinez;J. Manuf. Sci. Eng.,2020

5. Crawling in Rogue’s dungeons with (partitioned) A3C;Asperti,2018

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3. Digital Battle: A Three-Layer Distributed Simulation Architecture for Heterogeneous Robot System Collaboration;Drones;2024-04-18

4. Robotic assembly control reconfiguration based on transfer reinforcement learning for objects with different geometric features;Engineering Applications of Artificial Intelligence;2024-03

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