My notes from the Reinforcement Learning Specialization from Coursera and the University of Alberta.
They all include pretty
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I have lifted text and formulae liberally from the sources listed at the top of the course 1, week 1 notes.
- Fundamentals of Reinforcement Learning
- Week 1 - $K$-armed bandits
- Week 2 - Markov Decision Processes
- Week 3 - Value functions and Bellman Equations
- Week 4 - Optimal Policies with Dynamic Programming
- Sample-based Learning Methods