Deep Learning Research Review Week 2: Reinforcement Learning
Read OriginalThis article is the second installment of a deep learning research review series, focusing on Reinforcement Learning (RL). It explains the core concepts of RL, contrasting it with supervised and unsupervised learning, and introduces fundamental components like agents, actions, states, policies, and rewards. The piece serves as an introductory guide and paper review for those interested in machine learning subfields.
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