國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁 到查詢結果 [ subject:"Computing Methodologies." ]

切換: 標籤 | MARC模式 | ISBD

Reinforcement learningwith Open AI, ...

Biswas, Manisha.

Reinforcement learningwith Open AI, TensorFlow and Keras using Python /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Reinforcement learningby Abhishek Nandy, Manisha Biswas.
其他題名:	with Open AI, TensorFlow and Keras using Python /
作者:	Nandy, Abhishek.
其他作者:	Biswas, Manisha.
出版者:	Berkeley, CA :Apress :2018.
面頁冊數:	xiii, 167 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Reinforcement learning.
電子資源:	http://dx.doi.org/10.1007/978-1-4842-3285-9
ISBN:	9781484232859$q(electronic bk.)

Reinforcement learningwith Open AI, TensorFlow and Keras using Python /
Nandy, Abhishek.

Reinforcement learningwith Open AI, TensorFlow and Keras using Python /[electronic resource] :by Abhishek Nandy, Manisha Biswas. - Berkeley, CA :Apress :2018. - xiii, 167 p. :ill., digital ;24 cm.

Master reinforcement learning, a popular area of machine learning, starting with the basics: discover how agents and the environment evolve and then gain a clear picture of how they are inter-related. You'll then work with theories related to reinforcement learning and see the concepts that build up the reinforcement learning process. Reinforcement Learning discusses algorithm implementations important for reinforcement learning, including Markov's Decision process and Semi Markov Decision process. The next section shows you how to get started with Open AI before looking at Open AI Gym. You'll then learn about Swarm Intelligence with Python in terms of reinforcement learning. The last part of the book starts with the TensorFlow environment and gives an outline of how reinforcement learning can be applied to TensorFlow. There's also coverage of Keras, a framework that can be used with reinforcement learning. Finally, you'll delve into Google's Deep Mind and see scenarios where reinforcement learning can be used. You will: Absorb the core concepts of the reinforcement learning process Use advanced topics of deep learning and AI Work with Open AI Gym, Open AI, and Python Harness reinforcement learning with TensorFlow and Keras using Python.

ISBN: 9781484232859$q(electronic bk.)

Standard No.: 10.1007/978-1-4842-3285-9doiSubjects--Topical Terms:

349131
Reinforcement learning.

LC Class. No.: Q325.6

Dewey Class. No.: 006.31

Reinforcement learningwith Open AI, TensorFlow and Keras using Python /
LDR:02261nmm a2200313 a 4500 001 530228
003 DE-He213
005 20180817093042.0
006 m d
007 cr nn 008maaau
008 181107s2018 cau s 0 eng d
020 $a 9781484232859$q(electronic bk.)
020 $a 9781484232842$q(paper)
024 7 $a 10.1007/978-1-4842-3285-9 $2 doi
035 $a 978-1-4842-3285-9
040 $a GP $c GP
041 0 $a eng
050 4 $a Q325.6
072 7 $a UMA $2 bicssc
072 7 $a COM014000 $2 bisacsh
072 7 $a COM018000 $2 bisacsh
082 0 4 $a 006.31 $2 23
090 $a Q325.6 $b .N176 2018
100 1 $a Nandy, Abhishek. $3 763352
245 1 0 $a Reinforcement learning $h [electronic resource] : $b with Open AI, TensorFlow and Keras using Python / $c by Abhishek Nandy, Manisha Biswas.
260 $a Berkeley, CA : $b Apress : $b Imprint: Apress, $c 2018.
300 $a xiii, 167 p. : $b ill., digital ; $c 24 cm.
520 $a Master reinforcement learning, a popular area of machine learning, starting with the basics: discover how agents and the environment evolve and then gain a clear picture of how they are inter-related. You'll then work with theories related to reinforcement learning and see the concepts that build up the reinforcement learning process. Reinforcement Learning discusses algorithm implementations important for reinforcement learning, including Markov's Decision process and Semi Markov Decision process. The next section shows you how to get started with Open AI before looking at Open AI Gym. You'll then learn about Swarm Intelligence with Python in terms of reinforcement learning. The last part of the book starts with the TensorFlow environment and gives an outline of how reinforcement learning can be applied to TensorFlow. There's also coverage of Keras, a framework that can be used with reinforcement learning. Finally, you'll delve into Google's Deep Mind and see scenarios where reinforcement learning can be used. You will: Absorb the core concepts of the reinforcement learning process Use advanced topics of deep learning and AI Work with Open AI Gym, Open AI, and Python Harness reinforcement learning with TensorFlow and Keras using Python.
650 0 $a Reinforcement learning. $3 349131
650 1 4 $a Computer Science. $3 212513
650 2 4 $a Computing Methodologies. $3 274528
650 2 4 $a Python. $3 763308
700 1 $a Biswas, Manisha. $3 803945
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
856 4 0 $u http://dx.doi.org/10.1007/978-1-4842-3285-9
950 $a Professional and Applied Computing (Springer-12059)