August 2020
Intermediate to advanced
392 pages
9h 54m
English
This chapter covers
Understanding the inspiration for reinforcement learning
Identifying problems to solve with reinforcement learning
Designing and implementing a reinforcement learning algorithm
Understanding reinforcement learning approaches
Reinforcement learning (RL) is an area of machine learning inspired by behavioral psychology. The concept of reinforcement learning is based on cumulative rewards or penalties for the actions that are taken by an agent in a dynamic environment. Think about a young dog growing up. The dog is the agent in an environment that is our home. When we want the dog to sit, we usually say, “Sit.” The dog doesn’t understand English, ...
Read now
Unlock full access