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to start with for reinforcement learning

to start with for machine learning

For neural networks - Deep Learning - Ian Goodfellow, Yoshua Bengio and Aaron Courville

For everything else (linear models, random forests etc)

videos & lectures

The Long-term of AI & Temporal-Difference Learning (Richard Sutton - DeepMind)

Deep Reinforcement Learning (John Schulman - Open AI & Berkley)

Deep Reinforcement Learning (Pieter Abbeel - Open AI & Berkley)

Deep Reinforcement Learning (David Silver - DeepMind & UCL)

Deep Reinforcement Learning and Real World Challenges (Raia Hadsell - DeepMind)

Deep Reinforcement Learning in TensorFlow (Danijar Hafner - Stanford)

2017 NIPS David Silver Keynote - AlphaZero

A History of Reinforcement Learning - Prof. A.G. Barto

entire field overviews

CS 294: Deep Reinforcement Learning, Fall 2017 - Sergey Levine - Berkley - course materials - lecture videos

CS 598: Statistical Reinforcement Learning - Nan Jiang - Illinois - course materials

A (Long) Peek into Reinforcement Learning - blog post

Practical RL - course in reinforcement learning in the wild - repo

Deep RL Bootcamp lectures

blog posts

Deep Reinforcement Learning: Pong from Pixels

Deep Deterministic Policy Gradients in TensorFlow

AlphaGo, in context

World Models

open source projects

Open AI gym - environments - repo - paper

Open AI baselines - agents - repo

Berkley's rllab - agents & environments - repo

Intel's coach - agents & environments - repo - blog post

unity - 3D environments - github - paper

Dopamine - Rainbow implementation - github - blog post

Holodeck - Unity 3D environments - github - blog post

Parallel Monte-Carlo tree search to tackle the problem of long-term path planning under uncertainty for offshore sailing

RLenv.directory - directory of reinforcement learning environments

Horizion - Facebook platform for applied RL - github - paper - blog post