In this tutorial series, we will learn about reinforcement learning and its application in robotics.
- Part 1 : What is Reinforcement Learning ?
- Part 2 : Reinforcement learning algorithms taxonomy
- Part 3 : Reinforcement learning for robotics applications
- Part 4 : Introduction to OpenAI Gym
- Part 5 : Q learning for discrete state problems
- Part 6 : Q learning for continuous state problems
- Part 7 : Deep Q Learning
- Part 8 : Implementing custom virtual environments
- Part 8.1 : Registering a custom Gym environment
- Part 8.2 : Implementing a simple Gym environment - Tic-Tac-Toe
- Part 8.3 : Getting started with Pybullet
- Part 8.4 : Custom Gym environments for robotics applications
- Part 9 : Reinforcement learning libraries