Curriculum
Course: Reinforcement Learning Foundation
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Curriculum

Reinforcement Learning Foundation

Section 1: Introduction مقدمة

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Section 2: Markov Decision Processes & Dynamic Programming

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Section 3: Model-Free RL & Monte Carlo Methods

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Section 4: Temporal Difference Learning, SARSA & Eligibility Traces

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Video lesson

RLF_S1L4: From Zero to First Agent — Setup & Your First Code

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