Deep Reinforcement Learning for the Control of Robotic Manipulation: A Focussed Mini-Review

• Published in: Robotics (Basel) Vol. 10; no. 1; p. 22
• Main Authors: Liu, Rongrong, Nageotte, Florent, Zanne, Philippe, de Mathelin, Michel, Dresp-Langley, Birgitta
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.01.2021; MDPI
• Subjects: Algorithms; Artificial Intelligence; Automatic; Back propagation; Cognitive Sciences; Computer Science; Control tasks; Control theory; Deep learning; deep reinforcement learning; Engineering Sciences; Game theory; Human performance; Life Sciences; Machine learning; Neural networks; Neurons and Cognition; reinforcement learning; Robot control; robotic manipulation control; Robotics; Robots; Sensors; Software

Deep learning has provided new ways of manipulating, processing and analyzing data. It sometimes may achieve results comparable to, or surpassing human expert performance, and has become a source of inspiration in the era of artificial intelligence. Another subfield of machine learning named reinfor...