Reinforcement Learning: Advancements, Limitations, and Real-world Applications
Avanthikaa Srinivasan
2023INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT11 citationsDOIOpen Access PDF
Abstract
This paper aims to review the advancements, limitations, and real-world applications of RL. Additionally, it will explore the future of RL and the challenges that must be addressed to enhance its widespread applicability. By addressing these challenges, RL can be further harnessed to tackle complex real-world problems.
Topics & Concepts
Reinforcement learningComputer scienceRisk analysis (engineering)Management scienceArtificial intelligenceEngineeringBusinessReinforcement Learning in RoboticsEvolutionary Algorithms and Applications