s-mawjee/ammi-reinforcement-learning-2020

Reinforcement Learning Tutorials for the African Masters of Machine Intelligence 2020 # 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 - Tutorial 1 - Tutorial 1 (solutions) **Extra**: - Supplementary: Policy/Value Iteration in Matrix form - RL book Chapter 4, Dynamic Programming - Dynamic Programming lecture video ## Monte Carlo and TD learning - Tutorial 2 - Tutorial 2 (solutions) ## Policy Gradient - Tutorial 3 - Tutorial 4 # (git) Update local repo To update your local repository (repo) without losing your personal changes to the files use... `git pull --rebase --autostash` # Questions - To communicate directly with the tutors, chat to us here: tinyurl.com - To put a question forward to the tutors and your peers, open an **'issue'** with the label **'question'** example-clickMe # Addtional general resources ## Book - ('^\_\_^') Sutton and Barto (4.7/5) - Solutions - Chap 1 - 9 ( /5) - Chap 1,2, 13 (with summaries) ( /5) - Chap 1-3 (with code) ( /5) - Chap 1-3 (with code) ( /5) - Code (of content) - Chap 1 - 13, Python ( /5) - Chap 1 - 13, Lisp ( /5) - ('^\_\_^') An Introduction to Deep Reinforcement Learning(/5) ## 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 ove …