In this chapter, you will learn about a classic reinforcement learning experiment, which is also an established benchmark for testing various implementations of the control strategies. In this chapter, we consider three modifications of the cart-pole balancing experiment and develop control strategies that can be used to stabilize the cart-pole apparatuses of given configurations. You will learn how to write accurate simulations of real-life physical systems and how to use them for a definition of the objective function for the NEAT algorithm. After this chapter, you will be ready to apply the NEAT algorithm to implement controllers that can be directly used to control physical appliances.
In this chapter, we will cover the following topics:
- The single-pole balancing problem in reinforcement learning
- Implementation of the simulator of the cart-pole...
