Reinforcement Learning From Scratch
Understanding Current Approaches - with Examples in Java and Greenfoot
- 200 pages
- 7 hours of reading
The book explores the mechanics of reinforcement learning algorithms, illustrating how they enable machines to improve their strategies in ancient games like chess and go. It delves into the capabilities of robotic systems that refine their movements through practice and highlights the rapid advancement of agents in arcade games, achieving superhuman performance in mere hours. By examining these innovative technologies, the text sheds light on the intersection of artificial intelligence and game strategy development.
