Hands-on reinforcement learning for games: implementing self-learning agents in games using artificial intelligence techniques/ Micheal Lanham.

dc.contributor.author	Lanham Micheal
dc.date.accessioned	2024-01-26T21:33:17Z
dc.date.available	2024-01-26T21:33:17Z
dc.date.issued	2020
dc.identifier.citation	Lanham. Hands-on reinforcement learning for games: implementing self-learning agents in games using artificial intelligence techniques - 1 online resource (1 volume) : - URL: https://libweb.kpfu.ru/ebsco/pdf/2346941.pdf
dc.identifier.isbn	9781839216770
dc.identifier.isbn	1839216778
dc.identifier.uri	https://dspace.kpfu.ru/xmlui/handle/net/178289
dc.description.abstract	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 ...
dc.language	English
dc.language.iso	en
dc.subject.other	Machine learning.
dc.subject.other	Artificial intelligence.
dc.subject.other	Reinforcement learning.
dc.subject.other	Computer games -- Programming.
dc.subject.other	Application software -- Development.
dc.subject.other	Computer games -- Programming.
dc.subject.other	Electronic books.
dc.title	Hands-on reinforcement learning for games: implementing self-learning agents in games using artificial intelligence techniques/ Micheal Lanham.
dc.type	Book
dc.description.pages	1 online resource (1 volume) :
dc.collection	Электронно-библиотечные системы
dc.source.id	EN05CEBSCO05C488