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Hands-On Deep Learning for Games. Leverage the power of neural networks and reinforcement learning to build intelligent games

Hands-On Deep Learning for Games. Leverage the power of neural networks and reinforcement learning to build intelligent games

Micheal Lanham

E-book
The number of applications of deep learning and neural networks has multiplied in the last couple of years. Neural nets has enabled significant breakthroughs in everything from computer vision, voice generation, voice recognition and self-driving cars. Game development is also a key area where these techniques are being applied. This book will give an in depth view of the potential of deep learning and neural networks in game development.
We will take a look at the foundations of multi-layer perceptron’s to using convolutional and recurrent networks. In applications from GANs that create music or textures to self-driving cars and chatbots. Then we introduce deep reinforcement learning through the multi-armed bandit problem and other OpenAI Gym environments.
As we progress through the book we will gain insights about DRL techniques such as Motivated Reinforcement Learning with Curiosity and Curriculum Learning. We also take a closer look at deep reinforcement learning and in particular the Unity ML-Agents toolkit. By the end of the book, we will look at how to apply DRL and the ML-Agents toolkit to enhance, test and automate your games or simulations. Finally, we will cover your possible next steps and possible areas for future learning.
  • 1. Deep Learning for Games
  • 2. Convolutional and Recurrent Networks
  • 3. GAN for Games
  • 4. Building a Deep Learning Gaming Chatbot
  • 5. Introducing DRL
  • 6. Unity ML-Agents
  • 7. Agent and the Environment
  • 8. Understanding PPO
  • 9. Rewards and Reinforcement Learning
  • 10. Imitation and Transfer Learning
  • 11. Building Multi-Agent Environments
  • 12. Debugging/Testing a Game with DRL
  • 13. Obstacle Tower Challenge and Beyond
  • Titel: Hands-On Deep Learning for Games. Leverage the power of neural networks and reinforcement learning to build intelligent games
  • Autor: Micheal Lanham
  • Originaler Titel: Hands-On Deep Learning for Games. Leverage the power of neural networks and reinforcement learning to build intelligent games
  • ISBN: 9781788998765, 9781788998765
  • Veröffentlichungsdatum: 2019-03-30
  • Format: E-book
  • Artikelkennung: e_14sd
  • Verleger: Packt Publishing