hands-on deep learning for games leverage the power of neural networks and reinforcement learning to build intelligent games
"Understand the core concepts of deep learning and deep reinforcement learning by applying them to develop games Key Features Apply the power of deep learning to complex reasoning tasks by building a Game AI Exploit the most recent developments in machine learning and AI for building smart game...
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Birmingham ; New York :
Packt Publishing
2019.
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| Edición: | 1st edition |
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009630457706719 |
Tabla de Contenidos:
- Section 1. The Basics. Deep Learning for Games ; Convolutional and Recurrent Networks ; GAN for Games ; Building a Deep Learning Gaming Chatbot
- Section 2.Deep Reinforcement Learning. Introducing DRL ; Unity ML-Agents ; Agent and the Environment ; Understanding PPO ; Rewards and Reinforcement Learning ; Imitation and Transfer Learning ; Building Multi-Agent Environments
- Section 3. Building Games. Debugging/Testing a Game with DRL ; Obstacle Tower Challenge and Beyond.
