Deep reinforcement learning in Unity : with Unity ML toolkit /

Gain an in-depth overview of reinforcement learning for autonomous agents in game development with Unity. This book starts with an introduction to state-based reinforcement learning algorithms involving Markov models, Bellman equations, and writing custom C# code with the aim of contrasting value an...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Majumder, Abhilash (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: [Berkeley] : Apress, [2021]
Temas:
Unity (Electronic resource)
Video games > Programming.
Intelligent agents (Computer software)
Artificial intelligence.
Artificial Intelligence
Jeux vidéo > Programmation.
Agents intelligents (Logiciels)
Intelligence artificielle.
artificial intelligence.
Artificial intelligence
Video games > Programming
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • Chapter 1: Introduction to Reinforcement Learning
  • Chapter 2: Path Finding and Navigation
  • Chapter 3: Setting Up ML Agents Toolkit
  • Chapter 4: Understanding Brain Agents and Academy
  • Chapter 5: Deep Reinforcement Learning
  • Chapter 6: Competitive Networks for AI Agents
  • Chapter 7: Case Studies in ML Agents.

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