Reinforcement Learning, by the Book

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

An introduction to Reinforcement Learning

How large language models work, a visual intro to transformers | Chapter 5, Deep Learning

Policy Gradient Methods | Reinforcement Learning Part 6

Reinforcement Learning: Machine Learning Meets Control Theory

Proximal Policy Optimization (PPO) - How to train Large Language Models

MIT 6.S191: Reinforcement Learning

Why is this number everywhere?

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

Machine Learning for Everybody – Full Course

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

What is Q-Learning (back to basics)

11. Introduction to Machine Learning

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

A friendly introduction to deep reinforcement learning, Q-networks and policy gradients

1. Artificial Intelligence and Machine Learning

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

The Most Important Algorithm in Machine Learning

Q-Learning: Model Free Reinforcement Learning and Temporal Difference Learning

Reinforcement Learning from scratch