Reinforcement and Deep Learning (6414M0717Y)

Universiteit van Amsterdam (UvA)

Hier vind je de beste samenvattingen om te slagen voor Reinforcement and Deep Learning (6414M0717Y). Er zijn o.a. samenvattingen, aantekeningen en oefenvragen beschikbaar.

Alle 1 resultaten

Sorteer op:

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
-

-

-

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
€7,66 Meer Info

Reinforcement and Deep Learning (6414M0717Y)

Universiteit van Amsterdam (UvA)

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