Leverage the power of neural networks and reinforcement learning to build intelligent games
De som köpt den här boken har ofta också köpt Co-Intelligence av Ethan Mollick (häftad).
Köp båda 2 för 718 krMicheal Lanham is a proven software and tech innovator with 20 years of experience. During that time, he has developed a broad range of software applications in areas including games, graphics, web, desktop, engineering, artificial intelligence, GIS, and machine learning applications for a variety of industries as an R&D developer. At the turn of the millennium, Micheal began working with neural networks and evolutionary algorithms in game development. He was later introduced to Unity and has been an avid developer, consultant, manager, and author of multiple Unity games, graphic projects, and books ever since.
Table of Contents Deep Learning for Games Convolutional and Recurrent Networks GAN for Games Building a Deep Learning Gaming Chatbot Introducing DRL Unity ML-Agents Agent and the Environment Understanding PPO Rewards and Reinforcement Learning Imitation and Transfer Learning Building Multi-Agent Environments Debugging/Testing a Game with DRL Obstacle Tower Challenge and Beyond