Hands-on reinforcement learning for games : implementing self-learning agents in games using artificial intelligence techniques / Micheal Lanham.
Material type:
TextPublisher: Birmingham, UK : Packt Publishing, 2020Description: 1 online resource (1 volume) : illustrationsContent type: - text
- computer
- online resource
- 9781839216770
- 1839216778
- Machine learning
- Artificial intelligence
- Reinforcement learning
- Computer games -- Programming
- Application software -- Development
- Apprentissage automatique
- Intelligence artificielle
- Apprentissage par renforcement (Intelligence artificielle)
- Jeux d'ordinateur -- Programmation
- Logiciels d'application -- Développement
- artificial intelligence
- Mathematical theory of computation
- Artificial intelligence
- Machine learning
- Neural networks & fuzzy systems
- Computers -- Intelligence (AI) & Semantics
- Computers -- Machine Theory
- Computers -- Neural Networks
- Reinforcement learning
- Machine learning
- Artificial intelligence
- Application software -- Development
- Computer games -- Programming
- 794.81631 23
- Q325.6
| Item type | Home library | Collection | Call number | Materials specified | Status | Date due | Barcode | |
|---|---|---|---|---|---|---|---|---|
Electronic-Books
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OPJGU Sonepat- Campus | E-Books EBSCO | Available |
Online resource; title from title page (Safari, viewed June 17, 2020).
The AI revolution is here and it is embracing games. Game developers are being challenged to enlist cutting edge AI as part of their games. In this book, you will look at the journey of building capable AI using reinforcement learning algorithms and techniques. You will learn to solve complex tasks and build next-generation games using a ...
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