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Reinforcement Learning in R
Reinforcement learning is a class of algorithms to solve sequential decision making problems. While there are many implementations available in Python, there are nearly no algorithms available in R. This thesis introduces the reinforcelearn package, which aims to make a range of important reinforcement learning algorithms available for R users. The first section describes the reinforcement learning problem and the corresponding notation, the second section explains algorithms to solvedoi:10.5282/ubm/epub.59093 fatcat:5rlt6txchvhkpjooyxlpuaye4m