LEADER 03241nam 22006015 450 001 9910338230603321 005 20230223172412.0 010 $a1-4842-5127-X 024 7 $a10.1007/978-1-4842-5127-0 035 $a(CKB)4100000009076166 035 $a(MiAaPQ)EBC5880718 035 $a(DE-He213)978-1-4842-5127-0 035 $a(CaSebORM)9781484251270 035 $a(OCoLC)1122564750 035 $a(OCoLC)on1122564750 035 $a(EXLCZ)994100000009076166 100 $a20190823d2019 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aApplied Reinforcement Learning with Python $eWith OpenAI Gym, Tensorflow, and Keras /$fby Taweh Beysolow II 205 $a1st ed. 2019. 210 1$aBerkeley, CA :$cApress :$cImprint: Apress,$d2019. 215 $a1 online resource (177 pages) $cillustrations 300 $aIncludes index. 311 $a1-4842-5126-1 320 $aIncludes bibliographical references. 327 $aChapter 1: Introduction to Reinforcement Learning -- Chapter 2: Reinforcement Learning Algorithms -- Chapter 3: Q Learning -- Chapter 4: Reinforcement Learning Based Market Making -- Chapter 5: Reinforcement Learning for Video Games. . 330 $aDelve into the world of reinforcement learning algorithms and apply them to different use-cases via Python. This book covers important topics such as policy gradients and Q learning, and utilizes frameworks such as Tensorflow, Keras, and OpenAI Gym. Applied Reinforcement Learning with Python introduces you to the theory behind reinforcement learning (RL) algorithms and the code that will be used to implement them. You will take a guided tour through features of OpenAI Gym, from utilizing standard libraries to creating your own environments, then discover how to frame reinforcement learning problems so you can research, develop, and deploy RL-based solutions. What You'll Learn: Implement reinforcement learning with Python Work with AI frameworks such as OpenAI Gym, Tensorflow, and Keras Deploy and train reinforcement learning?based solutions via cloud resources Apply practical applications of reinforcement learning. 606 $aArtificial intelligence 606 $aPython (Computer program language) 606 $aOpen source software 606 $aComputer programming 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aPython$3https://scigraph.springernature.com/ontologies/product-market-codes/I29080 606 $aOpen Source$3https://scigraph.springernature.com/ontologies/product-market-codes/I29090 615 0$aArtificial intelligence. 615 0$aPython (Computer program language) 615 0$aOpen source software. 615 0$aComputer programming. 615 14$aArtificial Intelligence. 615 24$aPython. 615 24$aOpen Source. 676 $a006.3 700 $aBeysolow$b Taweh$4aut$4http://id.loc.gov/vocabulary/relators/aut$01279365 801 0$bUMI 801 1$bUMI 906 $aBOOK 912 $a9910338230603321 996 $aApplied Reinforcement Learning with Python$93015198 997 $aUNINA