Reinforcement and Deep Learning
Universiteit van Amsterdam (UvA)
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Formula Sheet RL & Deep Learning | Lectures 1-6 | UvA | 2025/26
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--111May 20262025/2026
- Formula sheet for Reinforcement and Deep Learning course at the University of Amsterdam, covering all essential equations and derivations from the first six lectures. Topics include MDPs and Bellman equations, dynamic programming, Monte Carlo methods, policy gradients, actor-critic algorithms, and deep RL with RLHF. This is an invaluable resource for exam preparation and quick reference during problem-solving—all key formulas organized by lecture for efficient studying.
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$8.85 More Info
polinastepanova
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Summary
Complete exam material, Reinforcement and Deep Learning, MSc Data Science & Business Analytics, University of Amsterdam
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---26May 20262025/2026
- Study guide for the Reinforcement and Deep Learning course at Universiteit van Amsterdam (2025/26), covering foundational concepts through advanced deep RL methods. Topics include finite Markov Decision Processes, dynamic programming, Monte Carlo methods, temporal-difference learning, deep Q-learning, policy gradient methods, actor-critic approaches, and reinforcement learning from human feedback (RLHF) with PPO and DPO. Well-structured with clear sections on each major topic, making it ideal fo...
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$9.05 More Info
charhoog