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000825054 019__ $$a1015815054$$a1020493929$$a1021201562$$a1032278991
000825054 020__ $$a9781484232859$$q(electronic book)
000825054 020__ $$a1484232852$$q(electronic book)
000825054 020__ $$z9781484232842
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000825054 0247_ $$a10.1007/978-1-4842-3285-9$$2doi
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000825054 1001_ $$aNandy, Abhishek,$$eauthor.
000825054 24510 $$aReinforcement learning :$$bwith Open AI, TensorFlow and Keras using Python /$$cAbhishek Nandy, Manisha Biswas.
000825054 264_1 $$a[Berkeley, CA] :$$bApress,$$c[2018]
000825054 264_4 $$c©2018
000825054 300__ $$a1 online resource
000825054 336__ $$atext$$btxt$$2rdacontent
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000825054 338__ $$aonline resource$$bcr$$2rdacarrier
000825054 347__ $$atext file$$bPDF$$2rda
000825054 500__ $$aIncludes index.
000825054 5050_ $$aChapter 1: Reinforcement Learning basics -- Chapter 2: Theory and Algorithms -- Chapter 3: Open AI basics -- Chapter 4: Getting to know Open AI and Open AI Gym the developers way -- Chapter 5: Reinforcement learning using Tensor Flow environment and Keras -- Chapter 6 Google's DeepMind and the future of Reinforcement Learning.
000825054 506__ $$aAccess limited to authorized users.
000825054 520__ $$aMaster 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.
000825054 588__ $$aOnline resource; title from PDF title page (viewed December 20, 2017).
000825054 650_0 $$aReinforcement learning.
000825054 7001_ $$aBiswas, Manisha,$$eauthor.
000825054 77608 $$iPrint version:$$aNandy, Abhishek.$$tReinforcement learning.$$d[Berkeley, CA] : Apress, [2018]$$z1484232844$$z9781484232842$$w(OCoLC)1005197857
000825054 852__ $$bebk
000825054 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-1-4842-3285-9$$zOnline Access$$91397441.1
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