Mastering Reinforcement Learning with Python

Chapter 14: Solving Robot Learning

So far in the book, we have covered many state-of-the-art algorithms and approaches in reinforcement learning. Now, starting with this chapter, we will see them in action to take on real-world problems! We start with robot learning, an important application area for reinforcement learning. To this end, we will train a Kuka robot to grasp objects on a tray using PyBullet physics simulation. We will discuss several ways of solving this hard-exploration problem and solve it both using a manually crafted curriculum as well as using the ALP-GMM algorithm. At the end of the chapter, we will present other simulation libraries for robotics and autonomous driving, which are commonly used to train reinforcement learning ...