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Handbook of Reinforcement Learning and Control【電子書籍】

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価格￥27,955

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＜p＞This handbook presents state-of-the-art research in reinforcement learning, focusing on its applications in the control and game theory of dynamic systems and future directions for related research and technology.＜/p＞＜p＞The contributions gathered in this book deal with challenges faced when using learning and adaptation methods to solve academic and industrial problems, such as optimization in dynamic environments with single and multiple agents, convergence and performance analysis, and online implementation. They explore means by which these difficulties can be solved, and cover a wide range of related topics including:＜/p＞＜ul＞＜li＞deep learning;＜/li＞＜li＞artificial intelligence;＜/li＞＜li＞applications of game theory;＜/li＞＜li＞mixed modality learning; and＜/li＞＜li＞multi-agent reinforcement learning.＜/li＞＜/ul＞＜p＞Practicing engineers and scholars in the field of machine learning, game theory, and autonomous control will find the ＜em＞Handbook...

Advanced Deep Learning with Keras Apply deep learning techniques, autoencoders, GANs, variational autoencoders, deep reinforcement learning, policy gradients, and more【電子書籍】[ Rowel Atienza ]

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価格￥3,631

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＜p＞＜strong＞A comprehensive guide to advanced deep learning techniques, including Autoencoders, GANs, VAEs, and Deep Reinforcement Learning, that drive today's most impressive AI results＜/strong＞＜/p＞＜h4＞Key Features＜/h4＞＜ul＞＜li＞Explore the most advanced deep learning techniques that drive modern AI results＜/li＞＜li＞Implement Deep Neural Networks, Autoencoders, GANs, VAEs, and Deep Reinforcement Learning＜/li＞＜li＞A wide study of GANs, including Improved GANs, Cross-Domain GANs and Disentangled Representation GANs＜/li＞＜/ul＞＜h4＞Book Description＜/h4＞＜p＞Recent developments in deep learning, including GANs, Variational Autoencoders, and Deep Reinforcement Learning, are creating impressive AI results in our news headlines - such as AlphaGo Zero beating world chess champions, and generative AI that can create art paintings that sell for over $400k because they are so human-like.＜/p＞＜p＞Advanced Deep Learning with Keras is a comprehensive guide to t...

Foundations of Reinforcement Learning with Applications in Finance【電子書籍】[ Ashwin Rao ]

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価格￥13,353

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＜p＞＜em＞＜strong＞Foundations of Reinforcement Learning with Applications in Finance＜/strong＞＜/em＞ aims to demystify Reinforcement Learning, and to make it a practically useful tool for those studying and working in applied areas ー especially finance.＜/p＞＜p＞Reinforcement Learning is emerging as a powerful technique for solving a variety of complex problems across industries that involve Sequential Optimal Decisioning under Uncertainty. Its penetration in high-profile problems like self-driving cars, robotics, and strategy games points to a future where Reinforcement Learning algorithms will have decisioning abilities far superior to humans. But when it comes getting educated in this area, there seems to be a reluctance to jump right in, because Reinforcement Learning appears to have acquired a reputation for being mysterious and technically challenging.＜/p＞＜p＞This book strives to impart a lucid and insightful understanding of the topic by emphasizing the foundation...

Hands-On Deep Learning for Games Leverage the power of neural networks and reinforcement learning to build intelligent games【電子書籍】[ Micheal Lanham ]

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価格￥3,290

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＜p＞＜strong＞Understand the core concepts of deep learning and deep reinforcement learning by applying them to develop games＜/strong＞＜/p＞＜h4＞Key Features＜/h4＞＜ul＞＜li＞Apply the power of deep learning to complex reasoning tasks by building a Game AI＜/li＞＜li＞Exploit the most recent developments in machine learning and AI for building smart games＜/li＞＜li＞Implement deep learning models and neural networks with Python＜/li＞＜/ul＞＜h4＞Book Description＜/h4＞＜p＞The number of applications of deep learning and neural networks has multiplied in the last couple of years. Neural nets has enabled significant breakthroughs in everything from computer vision, voice generation, voice recognition and self-driving cars. Game development is also a key area where these techniques are being applied. This book will give an in depth view of the potential of deep learning and neural networks in game development.＜/p＞＜p＞We will take a look at the foundations of multi-la...

Stability Enhancement Methods of Inverters Based on Lyapunov Function, Predictive Control, and Reinforcement Learning【電子書籍】[ Xin Zhang ]

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価格￥15,800

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＜p＞This book introduces a family of large-signal stability-based control methods for different power inverters (grid-connected inverter, standalone inverter, single-phase inverter, and three-phase inverter) in practical applications. Power inverters have stability issues, which include the inverter's own instability as well as the inverter's instability in relation to the other power electronic devices in the system (i.e., weak grid and the EMI filter). Most of the stability analyses and solutions are based on small-signal stability technology. Unfortunately, in actuality, the majority of practical instability concerns in power inverter systems are large-signal stability problems, which, when compared to small-signal stability problems, can cause substantial damage to electrical equipment.＜/p＞＜p＞As a result, researchers must conduct a comprehensive investigation of the large-signal stability challenge and solutions for power inverters. This book can be used as a reference for...

Reinforcement Learning and Approximate Dynamic Programming for Feedback Control【電子書籍】

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価格￥20,282

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＜p＞Reinforcement learning (RL) and adaptive dynamic programming (ADP) has been one of the most critical research fields in science and engineering for modern complex systems. This book describes the latest RL and ADP techniques for decision and control in human engineered systems, covering both single player decision and control and multi-player games. Edited by the pioneers of RL and ADP research, the book brings together ideas and methods from many fields and provides an important and timely guidance on controlling a wide variety of systems, such as robots, industrial processes, and economic decision-making.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。

Integral and Inverse Reinforcement Learning for Optimal Control Systems and Games【電子書籍】[ Bosen Lian ]

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価格￥17,016

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＜p＞＜em＞Integral and Inverse Reinforcement Learning for Optimal Control Systems and Games＜/em＞ develops its specific learning techniques, motivated by application to autonomous driving and microgrid systems, with breadth and depth: integral reinforcement learning (RL) achieves model-free control without system estimation compared with system identification methods and their inevitable estimation errors; novel inverse RL methods fill a gap that will help them to attract readers interested in finding data-driven model-free solutions for inverse optimization and optimal control, imitation learning and autonomous driving among other areas.＜/p＞＜p＞Graduate students will find that this book offers a thorough introduction to integral and inverse RL for feedback control related to optimal regulation and tracking, disturbance rejection, and multiplayer and multiagent systems. For researchers, it provides a combination of theoretical analysis, rigorous algorithms, and a wide-ranging ...

Reinforcement Learning, second edition An Introduction【電子書籍】[ Richard S. Sutton ]

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価格￥10,681

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＜p＞＜strong＞The significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active research areas in artificial intelligence.＜/strong＞＜/p＞＜p＞Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives while interacting with a complex, uncertain environment. In ＜em＞Reinforcement Learning＜/em＞, Richard Sutton and Andrew Barto provide a clear and simple account of the field's key ideas and algorithms. This second edition has been significantly expanded and updated, presenting new topics and updating coverage of other topics.＜/p＞＜p＞Like the first edition, this second edition focuses on core online learning algorithms, with the more mathematical material set off in shaded boxes. Part I covers as much of reinforcement learning as possible without going beyond the tabular case f...

Reinforcement Learning second edition: An Introduction (Adaptive Computation and Machine Learning series)

ショップ参考書専門店ブックスドリーム

価格￥4,853

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【30日間返品保証】商品説明に誤りがある場合は、無条件で弊社送料負担で商品到着後30日間返品を承ります。ご満足のいく取引となるよう精一杯対応させていただきます。※下記に商品説明およびコンディション詳細、出荷予定・配送方法・お届けまでの期間について記載しています。ご確認の上ご購入ください。【インボイス制度対応済み】当社ではインボイス制度に対応した適格請求書発行事業者番号（通称：T番号・登録番号）を印字した納品書（明細書）を商品に同梱してお送りしております。こちらをご利用いただくことで、税務申告時や確定申告時に消費税額控除を受けることが可能になります。また、適格請求書発行事業者番号の入った領収書・請求書をご注文履歴からダウンロードして頂くこともできます（宛名はご希望のものを入力して頂けます）。■商品名■Reinforcement Learning second edition: An Introduction (Adaptive Computation and Machine Learning series)■出版社■Bradford Books■著者■Sutton Richard S.■発行年■2018/11/13■ISBN10■0262039249■ISBN13■9780262039246■コンディションランク■非常に良いコンディションランク説明ほぼ新品：未使用に近い状態の商品非...

Deep Reinforcement Learning with Guaranteed Performance A Lyapunov-Based Approach【電子書籍】[ Yinyan Zhang ]

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価格￥15,800

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＜p＞This book discusses methods and algorithms for the near-optimal adaptive control of nonlinear systems, including the corresponding theoretical analysis and simulative examples, and presents two innovative methods for the redundancy resolution of redundant manipulators with consideration of parameter uncertainty and periodic disturbances.＜/p＞＜p＞It also reports on a series of systematic investigations on a near-optimal adaptive control method based on the Taylor expansion, neural networks, estimator design approaches, and the idea of sliding mode control, focusing on the tracking control problem of nonlinear systems under different scenarios. The book culminates with a presentation of two new redundancy resolution methods; one addresses adaptive kinematic control of redundant manipulators, and the other centers on the effect of periodic input disturbance on redundancy resolution.＜/p＞＜p＞Each self-contained chapter is clearly written, making the book accessible to graduat...

PyTorch 1.x Reinforcement Learning Cookbook Over 60 recipes to design, develop, and deploy self-learning AI models using Python【電子書籍】[ Yuxi (Hayden) Liu ]

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価格￥3,290

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＜p＞＜strong＞Implement reinforcement learning techniques and algorithms with the help of real-world examples and recipes＜/strong＞＜/p＞＜h4＞Key Features＜/h4＞＜ul＞＜li＞Use PyTorch 1.x to design and build self-learning artificial intelligence (AI) models＜/li＞＜li＞Implement RL algorithms to solve control and optimization challenges faced by data scientists today＜/li＞＜li＞Apply modern RL libraries to simulate a controlled environment for your projects＜/li＞＜/ul＞＜h4＞Book Description＜/h4＞＜p＞Reinforcement learning (RL) is a branch of machine learning that has gained popularity in recent times. It allows you to train AI models that learn from their own actions and optimize their behavior. PyTorch has also emerged as the preferred tool for training RL models because of its efficiency and ease of use.＜/p＞＜p＞With this book, you'll explore the important RL concepts and the implementation of algorithms in PyTorch 1.x. The recipes in the book, along with real-...

Deep Reinforcement Learning Fundamentals, Research and Applications【電子書籍】

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価格￥20,662

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＜p＞Deep reinforcement learning (DRL) is the combination of reinforcement learning (RL) and deep learning. It has been able to solve a wide range of complex decision-making tasks that were previously out of reach for a machine, and famously contributed to the success of AlphaGo. Furthermore, it opens up numerous new applications in domains such as healthcare, robotics, smart grids and finance.＜/p＞＜p＞Divided into three main parts, this book provides a comprehensive and self-contained introduction to DRL. The first part introduces the foundations of deep learning, reinforcement learning (RL) and widely used deep RL methods and discusses their implementation. The second part covers selected DRL research topics, which are useful for those wanting to specialize in DRL research. To help readers gain a deep understanding of DRL and quickly apply the techniques in practice, the third part presents mass applications, such as the intelligent transportation system and learning to run, wi...

（出版社）Chapman ＆ Hall/CRC Statistical Reinforcement Learning 1冊 978-1-4398-5689-5

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価格￥18,257

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（出版社）Chapman　＆　Hall/CRC Statistical Reinforcement Learning 1冊●著者：Sugiyama, Masashi●頁数他：206 p.●装丁：Hard●出版社：Chapman & Hall/CRC●発行日：2015/6/5

洋書 Paperback, Python Reinforcement Learning: Solve complex real-world problems by mastering reinforcement learning algorithms using OpenAI Gym and TensorFlow

ショップ Glomarket

価格￥11,911

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*** We ship internationally, so do not use a package forwarding service. We cannot ship to a package forwarding company address because of the Japanese customs regulation. If it is shipped and customs office does not let the package go, we do not make a refund. 【注意事項】 *** 特に注意してください。 *** ・個人ではない法人・団体名義での購入はできません。この場合税関で滅却されてもお客様負担になりますので御了承願います。・お名前にカタカナが入っている場合法人である可能性が高いため当店システムから自動保留します。カタカナで記載が必要な場合はカタカナ変わりローマ字で記載してください。・お名前またはご住所が法人・団体名義（XX株式会社等）、商店名などを含めている場合、または電話番号が個人のものではない場合、税関から法人名義でみなされますのでご注意ください。・転送サービス会社への発送もできません。この場合税関で滅却されてもお客様負担になりますので御了承願います。 *** ・注文後品切れや価格変動でキャンセルされる場合がございますので予めご了承願います。・当店でご購入された商品は、原則として、「個...

Reinforcement Learning with Hybrid Quantum Approximation in the NISQ Context【電子書籍】[ Leonhard Kunczik ]

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価格￥10,331

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＜p＞This book explores the combination of Reinforcement Learning and Quantum Computing in the light of complex attacker-defender scenarios. Reinforcement Learning has proven its capabilities in different challenging optimization problems and is now an established method in Operations Research. However, complex attacker-defender scenarios have several characteristics that challenge Reinforcement Learning algorithms, requiring enormous computational power to obtain the optimal solution.＜/p＞＜p＞The upcoming field of Quantum Computing is a promising path for solving computationally complex problems. Therefore, this work explores a hybrid quantum approach to policy gradient methods in Reinforcement Learning. It proposes a novel quantum REINFORCE algorithm that enhances its classical counterpart by Quantum Variational Circuits. The new algorithm is compared to classical algorithms regarding the convergence speed and memory usage on several attacker-defender scenarios with increasing ...

TensorFlow Deep Learning Projects 10 real-world projects on computer vision, machine translation, chatbots, and reinforcement learning【電子書籍】[ Alexey Grigorev ]

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価格￥4,085

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＜p＞Leverage the power of Tensorflow to design deep learning systems for a variety of real-world scenarios About This Book ? Build efficient deep learning pipelines using the popular Tensorflow framework ? Train neural networks such as ConvNets, generative models, and LSTMs ? Includes projects related to Computer Vision, stock prediction, chatbots and more Who This Book Is For This book is for data scientists, machine learning developers as well as deep learning practitioners, who want to build interesting deep learning projects that leverage the power of Tensorflow. Some understanding of machine learning and deep learning, and familiarity with the TensorFlow framework is all you need to get started with this book. What You Will Learn ? Set up the TensorFlow environment for deep learning ? Construct your own ConvNets for effective image processing ? Use LSTMs for image caption generation ? Forecast stock prediction accurately with an LSTM architecture ? Learn what semantic matching...

洋書 Paperback, PyTorch Deep Learning Hands-On: Build CNNs, RNNs, GANs, reinforcement learning, and more, quickly and easily

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価格￥9,462

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*** We ship internationally, so do not use a package forwarding service. We cannot ship to a package forwarding company address because of the Japanese customs regulation. If it is shipped and customs office does not let the package go, we do not make a refund. 【注意事項】 *** 特に注意してください。 *** ・個人ではない法人・団体名義での購入はできません。この場合税関で滅却されてもお客様負担になりますので御了承願います。・お名前にカタカナが入っている場合法人である可能性が高いため当店システムから自動保留します。カタカナで記載が必要な場合はカタカナ変わりローマ字で記載してください。・お名前またはご住所が法人・団体名義（XX株式会社等）、商店名などを含めている場合、または電話番号が個人のものではない場合、税関から法人名義でみなされますのでご注意ください。・転送サービス会社への発送もできません。この場合税関で滅却されてもお客様負担になりますので御了承願います。 *** ・注文後品切れや価格変動でキャンセルされる場合がございますので予めご了承願います。・当店でご購入された商品は、原則として、「個...

洋書 Paperback, Reinforcement Learning: State-of-the-Art (Adaptation, Learning, and Optimization (12))

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価格￥58,069

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*** We ship internationally, so do not use a package forwarding service. We cannot ship to a package forwarding company address because of the Japanese customs regulation. If it is shipped and customs office does not let the package go, we do not make a refund. 【注意事項】 *** 特に注意してください。 *** ・個人ではない法人・団体名義での購入はできません。この場合税関で滅却されてもお客様負担になりますので御了承願います。・お名前にカタカナが入っている場合法人である可能性が高いため当店システムから自動保留します。カタカナで記載が必要な場合はカタカナ変わりローマ字で記載してください。・お名前またはご住所が法人・団体名義（XX株式会社等）、商店名などを含めている場合、または電話番号が個人のものではない場合、税関から法人名義でみなされますのでご注意ください。・転送サービス会社への発送もできません。この場合税関で滅却されてもお客様負担になりますので御了承願います。 *** ・注文後品切れや価格変動でキャンセルされる場合がございますので予めご了承願います。・当店でご購入された商品は、原則として、「個...

Generic Multi-Agent Reinforcement Learning Approach for Flexible Job-Shop Scheduling【電子書籍】[ Schirin B?r ]

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価格￥6,076

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＜p＞The production control of flexible manufacturing systems is a relevant component that must go along with the requirements of being flexible in terms of new product variants, new machine skills and reaction to unforeseen events during runtime. This work focuses on developing a reactive job-shop scheduling system for flexible and re-configurable manufacturing systems. Reinforcement Learning approaches are therefore investigated for the concept of multiple agents that control products including transportation and resource allocation.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。

PyTorch Deep Learning Hands-On Build CNNs, RNNs, GANs, reinforcement learning, and more, quickly and easily【電子書籍】[ Sherin Thomas ]

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価格￥3,290

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＜p＞＜strong＞Hands-on projects cover all the key deep learning methods built step-by-step in PyTorch＜/strong＞＜/p＞＜h4＞Key Features＜/h4＞＜ul＞＜li＞Internals and principles of PyTorch＜/li＞＜li＞Implement key deep learning methods in PyTorch: CNNs, GANs, RNNs, reinforcement learning, and more＜/li＞＜li＞Build deep learning workflows and take deep learning models from prototyping to production＜/li＞＜/ul＞＜h4＞Book Description＜/h4＞＜p＞PyTorch Deep Learning Hands-On is a book for engineers who want a fast-paced guide to doing deep learning work with Pytorch. It is not an academic textbook and does not try to teach deep learning principles. The book will help you most if you want to get your hands dirty and put PyTorch to work quickly.＜/p＞＜p＞PyTorch Deep Learning Hands-On shows how to implement the major deep learning architectures in PyTorch. It covers neural networks, computer vision, CNNs, natural language processing (RNN), GANs, and reinforcement learnin...