Research on Intelligent Control Decision of Manipulator Based on Deep Reinforcement Learning
Author:
Affiliation:
1. State Grid Jiangsu Electric Power Co., Ltd.,Suzhou Power Supply Company,Suzhou,China
2. Jiangnan University,School of Mechanical Engineering,Wuxi,China
3. Nanjing Xingchen Intelligent Co., Ltd.,Nanjing,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10061847/10061862/10061884.pdf?arnumber=10061884
Reference10 articles.
1. A Framework for Coordinated Control of Multiagent Systems and Its Applications
2. Portfolio management based on deep reinforcement learning SAC algorithm [J];fu;Modern Computer,2020
3. A survey of multi-agent hierarchical reinforcement learning [J];yin;Journal of Intelligent Systems,2020
4. Robot local path planning algorithm based on soft actor critical algorithm[J];hu;Journal of Wuhan University of Technology,2021
5. Imitation Learning of Positional and Force Skills Demonstrated via Kinesthetic Teaching and Haptic Input
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