Monte Carlo And Off-Policy Methods | Reinforcement Learning Part 3

Temporal Difference Learning (including Q-Learning) | Reinforcement Learning Part 4

Reinforcement Learning, by the Book

The Oldest Unsolved Problem in Math

Bellman Equations, Dynamic Programming, Generalized Policy Iteration | Reinforcement Learning Part 2

Policy Gradient Methods | Reinforcement Learning Part 6

6. Monte Carlo Simulation

Model Based Reinforcement Learning: Policy Iteration, Value Iteration, and Dynamic Programming

Monte Carlo Simulation

Importance Sampling

Machine Learning for Everybody – Full Course

Math's Fundamental Flaw

MIT 6.S191: Reinforcement Learning

RL Course by David Silver - Lecture 4: Model-Free Prediction

MIT 6.S091: Introduction to Deep Reinforcement Learning (Deep RL)

But what is a neural network? | Chapter 1, Deep learning

How To Catch A Cheater With Math

RL Course by David Silver - Lecture 3: Planning by Dynamic Programming