Hands-On Game AI with Python (repost)
Hands-On Game AI with Python:
Implement self-learning AI agents in games using reinforcement learning algorithms and techniques
by Micheal Lanham
English | 2020 | ISBN: 1839214937 | 407 Pages | PDF EPUB | 27 MB
Implement self-learning AI agents in games using reinforcement learning algorithms and techniques
by Micheal Lanham
English | 2020 | ISBN: 1839214937 | 407 Pages | PDF EPUB | 27 MB
Starting with the basics, this book will help you build a strong foundation in reinforcement learning for game development. Each chapter will assist you in implementing different reinforcement learning techniques, such as Markov decision processes (MDPs), Q-learning, actor-critic methods, SARSA, and deterministic policy gradient algorithms, to build logical self-learning agents. Learning these techniques will enhance your game development skills and add a variety of features to improve your game agent's productivity. As you advance, you'll understand how deep reinforcement learning (DRL) techniques can be used to devise strategies to help agents learn from their actions and build engaging games.