Deep RL Bootcamp Lecture 1: Motivation + Overview + Exact Solution Methods

Deep RL Bootcamp Lecture 2: Sampling-based Approximations and Function Fitting

MIT 6.S191: Reinforcement Learning

L1 MDPs, Exact Solution Methods, Max-ent RL (Foundations of Deep RL Series)

Deep RL Bootcamp Lecture 4A: Policy Gradients

Введение в методы градиента политики — глубокое обучение с подкреплением

The FASTEST introduction to Reinforcement Learning on the internet

Deep RL Bootcamp Lecture 3: Deep Q-Networks

Визуализация скрытого пространства: PCA, t-SNE, UMAP | Глубокое обучение с анимацией

Deep RL Bootcamp Lecture 5: Natural Policy Gradients, TRPO, PPO

Deep RL Bootcamp Lecture 4B Policy Gradients Revisited

Обучение с подкреплением с нуля

Но что такое нейронная сеть? | Глава 1. Глубокое обучение

MIT Introduction to Deep Learning | 6.S191

Reinforcement Learning: Machine Learning Meets Control Theory

Обучение с подкреплением, по книге

Deep RL Bootcamp Lecture 6: Nuts and Bolts of Deep RL Experimentation

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

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

Who's Adam and What's He Optimizing? | Deep Dive into Optimizers for Machine Learning!

Proximal Policy Optimization Explained