Review of Deep Reinforcement Learning
Keyuan Yu, Kun Jin, Xiangyang Deng
20222022 IEEE 5th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)36 citationsDOI
Abstract
With the continuous development of information technology, machine intelligence has become a hot research issue. Deep learning can effectively extract the characteristic information in the environment, reinforcement learning can propose effective behavior strategies, and the integration of the two to form deep reinforcement learning is an inevitable trend in the field of artificial intelligence research, with the development of a variety of deep reinforcement learning algorithms. Focusing on the development of deep reinforcement learning, this paper summarizes the classification, characteristics and applications of common algorithms for deep reinforcement learning.
Topics & Concepts
Reinforcement learningArtificial intelligenceComputer scienceDeep learningReinforcementLearning classifier systemVariety (cybernetics)Machine learningField (mathematics)EngineeringMathematicsPure mathematicsStructural engineeringAnomaly Detection Techniques and ApplicationsReinforcement Learning in RoboticsElevator Systems and Control