Retracted: Review on Reinforcement Learning, Research Evolution and Scope of Application
Eisha Akanksha, Jyoti Jyoti, Neeraj Kumar Sharma, Kamal Gulati
Abstract
Machine learning is considered as the study of computer algorithms that enables the machine to learn and adapt to new data without any human intervention. Reinforcement learning is a paradigm of machine learning by which a self-governing agent utilizes its experience communicating with an environmental situation to improve its behavior. The paper summarizes different reinforcement learning algorithms, merits and demerits of the existing reviewed methods along with the applications and challenges that gives a future research direction.
Topics & Concepts
Reinforcement learningComputer scienceScope (computer science)Artificial intelligenceMachine learningError-driven learningIntervention (counseling)Human–computer interactionPsychiatryPsychologyProgramming languageReinforcement Learning in RoboticsData Stream Mining TechniquesMetaheuristic Optimization Algorithms Research