Reinforcement and Deep Learning

Universiteit van Amsterdam (UvA)

Hier vind je de beste samenvattingen om te slagen voor Reinforcement and Deep Learning. Er zijn o.a. samenvattingen, aantekeningen en oefenvragen beschikbaar.

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Formula Sheet RL & Deep Learning | Lectures 1-6 | UvA | 2025/26

College aantekeningen

Formula Sheet RL & Deep Learning | Lectures 1-6 | UvA | 2025/26
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11

mei 2026

2025/2026
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.
polinastepanova
$8.98 Meer Info

Complete exam material, Reinforcement and Deep Learning, MSc Data Science & Business Analytics, University of Amsterdam

Samenvatting

Complete exam material, Reinforcement and Deep Learning, MSc Data Science & Business Analytics, University of Amsterdam
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26

mei 2026

2025/2026
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...
charhoog
$9.18 Meer Info

Reinforcement and Deep Learning

Universiteit van Amsterdam (UvA)

Formula Sheet RL & Deep Learning | Lectures 1-6 | UvA | 2025/26

Complete exam material, Reinforcement and Deep Learning, MSc Data Science & Business Analytics, University of Amsterdam