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Opoku4, Daniel
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Computer Science & IT Control & Systems Engineering Engineering

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A Reinforcement Learning Review: Past Acts, Present Facts and Future Prospects Kommey, Benjamin; Isaac, Oniti Jesutofunmi; Tamakloe, Elvis; Opoku4, Daniel
IT Journal Research and Development Vol. 8 No. 2 (2024)
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/itjrd.2023.13474

Abstract

Reinforcement Learning (RL) is fast gaining traction as a major branch of machine learning, its applications have expanded well beyond its typical usage in games. Several subfields of reinforcement learning like deep reinforcement learning and multi-agent reinforcement learning are also expanding rapidly. This paper provides an extensive review on the field from the point of view of Machine Learning (ML). It begins by providing a historical perspective on the field then proceeds to lay a theoretical background on the field. It further discusses core reinforcement learning problems and approaches taken by different subfields before discussing the state of the art in the field. An inexhaustive list of applications of reinforcement learning is provided and their practicability and scalability assessed. The paper concludes by highlighting some open areas or issues in the field
Co-Authors Isaac, Oniti Jesutofunmi Kommey, Benjamin Tamakloe, Elvis