
- Hands-on reinforcement learning for games : implementing self-learning agents in games using artificial intelligence techniques
- Tác giả: Micheal Lanham
- Nhà xuất bản: Packt Publishing - Birmingham
- Năm xuất bản: 2020
- Số trang:417 p.
- Kích thước:25 cm.
- Số đăng ký cá biệt:52517
- ISBN:9781839214936
- Mã Dewey:794.81631
- Đơn giá:0
- Vị trí lưu trữ:03 Quang Trung
- Ngôn ngữ:English
- Loại tài liệu:Sách Chuyên ngành
- Đang rỗi/ Tổng sách:1/1
- Từ khóa:Artificial intelligence, Computer games, reinforcement learning
- Chủ đề: Artificial intelligence & Computer games--Programming
- Chuyên ngành: Khoa Mỹ thuật Ứng dụng
- Tóm tắt: 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 ..
- Sách điện tử:http://thuvienso.duytan.edu.vn/handle/123456789/201291
Sách cùng chuyên ngành
Sách cùng chủ đề
- Our final invention : artificial intelligence and the end of the human era
- AI business strategies : leveraging artificial intelligence as a competitive advantage
- Machine learning in the aws cloud : add intelligence to applications with amazon sagemaker and amazon rekognition
- You look like a thing and I love you : how artificial intelligence works and why it's making the world a weirder
- Artificial intelligence & Generative AI for beginners : the complete guide