tondji/rl_at_ammi

Reinforcement Learning Tutorials for the African Masters of Machine Intelligence # Reinforcement Learning at AMMI This repo includes lecture slides, notebooks and other material for the RL week at AMMI, the African Masters of Machine Intelligence ## Policy/Value Iteration - Day 1 Slides - Policy/Value Iteration exercises - Policy/Value Iteration solutions **Extra**: - Supplementary: Policy/Value Iteration in Matrix form - RL book Chapter 4, Dynamic Programming - Dynamic Programming lecture video ## Monte Carlo and TD learning - Day 3 Slides - Monte Carlo / TD exercises - Monte Carlo / TD solutions ## Function Approximation - Day 5 Slides ## Policy Gradient - REINFORCE - Day 6 Slides - REINFORCE exercise - REINFORCE solution - REINFORCE with learned Baseline exercise - REINFORCE with learned Baseline solution - Actor-Critic - Actor-Critic solution **Extra**: - Policy Gradient Algorithms - Policy Gradient Explained - Blog Post - Policy Gradient lecture video ## Models and Hierarchy - Day 8 Slides ## Python and Numpy - Python Basics **Extra**: - Python crash course - Numpy crash course - How to build your own Neural Network from scratch in Python ## External Resources - Reinforcement Learning: An Introduction, by Sutton and Barto, 2018. This is the canonical RL book which has everything you need to learn RL. - RL Course Lectures by David Silver, videos, slides