See, stats, and : https : / / www . researchgate . net / publication / 323178749 A Learning Research DOI : 10 . 13140 / RG . 2 . 2 . 31027 . 53285 CITATIONS 0 READS 24 1 : Some : Artificial Ahmad University 10 SEE All . The . Abstract— This paper aims to introduce , review , and summarize several works and research papers on Reinforcement Learning . Reinforcement learning is an area of Artificial Intelligence ; it has emerged as an effective tool towards building artificially intelligent systems and solving sequential decision making problems . Reinforcement Learning has achieved many impressive breakthroughs in the recent years and it was able to surpass human level in many fields ; it is able to play and win various games . Historically , reinforcement learning was efficient in solving some control system problems . Nowadays , it has a growing range of applications . This work includes an introduction to reinforcement learning which demonstrates the intuition behind Reinforcement Learning in addition to the main concepts . After that , the remarkable successes of reinforcement learning are highlighted . Consequently , methods and the details for solving reinforcement learning problems are summarized . Thenceforth , data from a wide collection of works in various reinforcement learning applications were reviewed . Finally , the prospects and the challenges of reinforcement learning are discussed .
CITATION STYLE
Li, S. E. (2023). Introduction to Reinforcement Learning. In Reinforcement Learning for Sequential Decision and Optimal Control (pp. 1–14). Springer Nature Singapore. https://doi.org/10.1007/978-981-19-7784-8_1
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