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200617s2020 enka o 000 0 eng d
▼a 1135455410
▼a 1135668457
▼a 9781839216770
▼a 1839216778
▼z 9781839214936
▼a 2346941
▼b (N$T)
▼a (OCoLC)1158574887
▼z (OCoLC)1135455410
▼z (OCoLC)1135668457
▼a CL0501000117
▼b Safari Books Online
▼a UMI
▼b eng
▼e rda
▼e pn
▼c UMI
▼d EBLCP
▼d UKAHL
▼d CHVBK
▼d YDX
▼d N$T
▼d OCLCF
▼d 248023
▼a Q325.6
▼a 794.81631
▼2 23
▼a Lanham, Micheal,
▼e author.
▼a Hands-on reinforcement learning for games:
▼b implementing self-learning agents in games using artificial intelligence techniques /:
▼c Micheal Lanham.
▼a Birmingham, UK:
▼b Packt Publishing,
▼c 2020.
▼a 1 online resource (1 volume):
▼b illustrations.
▼a text
▼b txt
▼2 rdacontent
▼a computer
▼b c
▼2 rdamedia
▼a online resource
▼b cr
▼2 rdacarrier
▼a 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 ...
▼a Description based on online resource; title from title page (Safari, viewed June 17, 2020).
▼a Master record variable field(s) change: 082 - OCLC control number change
▼a Machine learning.
▼a Artificial intelligence.
▼a Reinforcement learning.
▼a Computer games
▼x Programming.
▼a Application software
▼x Development.
▼a Computer games
▼x Programming.
▼2 fast
▼0 (OCoLC)fst00872114
▼a Electronic books.
▼i Print version:
▼a Lanham, Micheal.
▼t Hands-On Reinforcement Learning for Games : Implementing Self-Learning Agents in Games Using Artificial Intelligence Techniques.
▼d Birmingham : Packt Publishing, Limited, ©2020,
▼z 9781839214936
▼3 EBSCOhost
▼u http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=2346941
▼a Askews and Holts Library Services
▼b ASKH
▼n AH37098050
▼a ProQuest Ebook Central
▼b EBLB
▼n EBL6006894
▼a EBSCOhost
▼b EBSC
▼n 2346941
▼a YBP Library Services
▼b YANK
▼n 301042963
▼a 강리원
▼a eBook
▼a 92
▼b N$T
| 자료유형 : | eBook |
|---|---|
| ISBN : | 9781839216770 |
| ISBN : | 1839216778 |
| ISBN : | |
| 개인저자 : | Lanham, Micheal, author. |
| 서명/저자사항 : | Hands-on reinforcement learning for games: implementing self-learning agents in games using artificial intelligence techniques /: Micheal Lanham. |
| 발행사항 : | Birmingham, UK: Packt Publishing, 2020. |
| 형태사항 : | 1 online resource (1 volume): illustrations. |
| 요약 : | 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 ... |
| 일반주제명 : | Machine learning. -- |
| 일반주제명 : | Artificial intelligence. -- |
| 일반주제명 : | Reinforcement learning. -- |
| 일반주제명 : | Computer games -- Programming. -- |
| 일반주제명 : | Application software -- Development. -- |
| 일반주제명 : | Computer games -- Programming. -- |
| 기타형태 저록 : | Print version: Lanham, Micheal. Hands-On Reinforcement Learning for Games : Implementing Self-Learning Agents in Games Using Artificial Intelligence Techniques. Birmingham : Packt Publishing, Limited, ©2020, 9781839214936 |
| 언어 | 영어 |
| URL : |
|---|
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