03443cam a22005055i 4500 21819376 OSt 20220426110146.0 m |o d | cr ||||||||||| 171207s2018 xxu|||| o |||| 0|eng 2019765102 9781484232859 10.1007/978-1-4842-3285-9 doi (DE-He213)978-1-4842-3285-9 DLC eng pn rda DLC COM004000 bisacsh UYQ bicssc UYQ thema 006.3 1 NANA Nandy, Abhishek, 31868 Reinforcement learning : with open AI, tensorflow and keras using python / By Abhishek Nandy andManisha Biswas. 1st ed. New York : Apress , 2019. Berkeley, CA : Apress : Imprint: Apress, 2018. xiii, 167p. ; 23 cm. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Chapter 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. 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. Description based on publisher-supplied MARC data. Reinforcement learning basics 31869 OpenAI basics 31870 Applying python to reinforcement learning https://scigraph.springernature.com/ontologies/product-market-codes/I21000 31871 Python. https://scigraph.springernature.com/ontologies/product-market-codes/I29080 31872 Biswas, Manisha. 31873 Print version: Reinforcement learning 9781484232842 (DLC) 2017962867 Printed edition: 9781484232842 Printed edition: 9781484232866 Printed edition: 9781484247358 0 ibc origres u ncip 20 y-gencatlg ddc BK 1st 006.3 NANA 222627 222627 0 0 ddc 0 0 MCA AIMIT AIMIT 2022-03-24 Biblios Book Point 529.00 Bill no:6623; Bill dt:2022-03-23 0 006.3 NANA MCA17087 2026-05-23 00:00:00 423.00 2022-04-26 BK