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Reinforcement Learning Tutorials for the African Masters of Machine Intelligence 2020
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README.md
git_update.sh

README.md

Reinforcement Learning Tutorials for the African Masters of Machine Intelligence

This repo includes lecture slides, notebooks and other material for the RL week at AMMI, the African Masters of Machine Intelligence

Dynamic Programming

Lec 1: From basic concepts to deep Q-networks

Extra:

Monte Carlo and TD learning

Policy Gradient

(git) Update local repo

To update your local repository (repo) without losing your personal changes to the files use...

git pull --rebase --autostash

Questions

Addtional general resources

Book

Course

  • (^_^) Wild ML (Denny Britz) - Meta-course (recommended reading, exercises from other courses, implementations) with implementations, Python ( /5)

  • (^_^) Dave Silver ( /5)

  • (-)Coursera - Practical RL ( /5)

  • (^_^) Coursera - University of Alberta - 4 part specialization (3/5)

Video

  • (",) Udacity

    Really great playlist of videos 5min each about 200 of them - well labelled, so that if you want to find a specific thing to learn / revise it is easy to find - very comprehensive - give it a look I reckon

  • (^_^) Deeplizard - RL playlist - 18 Vids ( /5)

  • (^_^) YouTube playlist ( /5)

Articles

  • (",) Free code camp - ( 4/5) - good overview
  • (",) Medium, RL algorithm review (3/5)
  • (",) Medium, RL overview (3/5)
  • (",) Summary of terminology (3.5/5)

Lectures

  • (",) 55 slides (3.5/5)
  • (",) 160 slides (3/5)

Survey

  • (",) overviews of contemporary RL

Taxonomy of RL algorithms

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