A Survey on Deep Reinforcement Learning Algorithms for Robotic Manipulation

• Published in: Sensors (Basel, Switzerland) Vol. 23; no. 7; p. 3762
• Main Authors: Han, Dong, Mulyana, Beni, Stankovic, Vladimir, Cheng, Samuel
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 05.04.2023; MDPI
• Subjects: Actors; Actresses; Algorithms; Artificial intelligence; Automation; Computational linguistics; Data mining; Deep learning; graph neural network; Language processing; Machine learning; Manufacturing; Natural language interfaces; Neural networks; Portfolio management; Productivity; Recommender systems; reinforcement learning; Review; robotic manipulation; Robotics; Robotics industry; Robots; Search engines; Space exploration; Surveys; United States; robotic manipulation; graph neural network; reinforcement learning

Robotic manipulation challenges, such as grasping and object manipulation, have been tackled successfully with the help of deep reinforcement learning systems. We give an overview of the recent advances in deep reinforcement learning algorithms for robotic manipulation tasks in this review. We begin...