Reinforcement Learning Algorithms with Python

Control a continuous system

Policy gradient algorithms such as REINFORCE and AC, as well as PPO and TRPO, all of which will be implemented in this chapter, can work with a discrete and continuous action space. The migration from one type of action to the other is pretty simple. Instead of computing a probability for each action in a continuous control, the actions can be specified through the parameters of a probability distribution. The most common approach is to learn the parameters of a normal Gaussian distribution, which is a very important family of distributions that is parametrized by a mean, , and a standard deviation, . Examples of ...