Reinforcement Learning material

Books RL:

• Deep Reinforcement Learning Hands-On
• Hands-On Reinforcement Learning with Python (Doom etc.)
• Hands-On Intelligent Agents with OpenAI Gym (CARLA etc.
• Reinforcement Learning: An Introduction
• REINFORCEMENT LEARNING AND OPTIMAL CONTROL
• Grokking Deep Reinforcement Learning
• Deep Reinforcement Learning in Action
• Deep Learning and the Game of Go

Blog / websites theory

• An Outsider's Tour of Reinforcement Learning
• Learning Reinforcement Learning (with Code, Exercises and Solutions)
• Spinning Up (OpenAI)

ML / DL:

• Mathematics for Machine Learning (Book)
• The Matrix Calculus You Need For Deep Learning
• Book | Grokking Deep Learning
• Amazon's ML courses
• Understanding Learning Rates and How It Improves Performance in Deep Learning (Blog post)
• Applied Deep Learning: A Case-Based Approach to Understanding Deep Neural Networks
• Deep Learning for Self-Driving Cars
• Deep Learning School (RUS)
• Statistical Learning Theory and Applications
• Lectures | Natural Language Processing with Deep Learning (Stanford / Winter 2019)

Video lectures:

• Deepminds RL course
• Yandex RL
• RL Course by David Silver | Youtube
• Berkeley RL course | Youtube
• Deep RL Bootcamp (Google)
• CS 188 | Introduction to Artificial Intelligence
• Waterloo RL course

MOOCs:

• Move 37 Course
• The Complete Self-Driving Car Course - Applied Deep Learning
• Udemy | Advanced AI: Deep Reinforcement Learning in Python
• Udemy | Artificial Intelligence: Reinforcement Learning in Python

Tutorial Video Series:

• ROS Autonomous Car
• PyTorch Reinforcement Learning | DeepLizard
• How to Simulate a Udacity's Self-Driving Car
• DQN etc with PyTorch | Machine Learning with Phil
• DQN, PPO, VizDoom etc | Thomas SIMONINI

Tutorials:

• DQN

  • LET’S MAKE A DQN: IMPLEMENTATION
  • Using Keras and Deep Q-Network to Play FlappyBird
  • Reinforcement Learning and DQN, learning to play from pixels
  • DQN + imporvments

• Reinforcement Learning with Prediction-Based Rewards

• How TRPO and PPO Stabilize Policy Gradient Methods

• Reinforcement Learning w/ Keras

  • Reinforcement Learning w/ Keras+OpenAI: The Basics
  • Reinforcement Learning w/ Keras + OpenAI: DQNs
  • Reinforcement Learning w/ Keras + OpenAI: Actor-Critic Models

• RL — Reinforcement Learning Algorithms Quick Overview

• Deep Reinforcement Learning Series

• A Free course in Deep Reinforcement Learning from beginner to expert

• Using Keras and Deep Deterministic Policy Gradient to play TORCS

• Simple Reinforcement Learning with Tensorflow (9 parts)

• Using reinforcement learning in Python to teach a virtual car to avoid obstacles

Unity ML:

• Unity ML-Agents Tutorial | AI Truffle Pigs!
• Creating a Unity ML-Agent from Scratch Part 1
• First Unity ml-agent program.
• (Book) Learn Unity ML-Agents – Fundamentals of Unity Machine Learning
• ML agents with Unity3d
• Arcade Style Bouncy Vehicle Physics Tutorial
• Intro to Unity: Rocket League-ish Edition

Simulation Environments:

• Airsim - Unity SDC sim
• MADRaS: A Multi-Agent DRiving Simulator for Autonomous Driving Research
• CARLA (car gta5 like)
• OpenAI Gym with custom SpaceX Rocket Lander
  • Siraj Raval Turorial
• Unity Car Environment
• Gym-TORCS
• Udacity's Self-Driving Car Simulator
• Deep drive (GTA like)
• Snake - Slitherin

Papers:

• DDPG training a Reinforcement Learning Agent for TORCS
• Toward Deep Reinforcement Learning without a Simulator: An Autonomous Steering Example
• A Brief Survey of Deep Reinforcement Learning
• Curiosity-driven Exploration by Self-supervised Prediction
• POET: Endlessly Generating Increasingly Complex and Diverse Learning Environments and their Solutions through the Paired Open-Ended Trailblazer

Github:

• Keras RL
• Torcs - Reinforcement-Learning

Other resourses:

• Awesome Reinforcement Learning
• RL github repo
• A Beginner's Guide to Deep Reinforcement Learning
• OpenAI retro tuts