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Author: Alex Yakyma
Publisher:
ISBN: 9780998162904
Category :
Languages : en
Pages :
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Book Description
Author: Alex Yakyma
Publisher:
ISBN: 9780998162904
Category :
Languages : en
Pages :
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Book Description
Author: Bill L. Hopkins
Publisher:
ISBN:
Category : Behavior modification
Languages : en
Pages : 164
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Book Description
Author: Tristan Cazenave
Publisher: Springer
ISBN: 3319149237
Category : Computers
Languages : en
Pages : 173
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Book Description
This book constitutes the refereed proceedings of the Computer Games Workshop, CGW 2014, held in conjunction with the 21st European Conference on Artificial Intelligence, ECAI 2014, Prague, Czech Republic, in August 2014. The 11 revised full papers presented were carefully reviewed and selected from 20 submissions. The papers address all aspects of artificial intelligence and computer game playing. They discuss topics such as general game playing, video game playing, and cover 11 abstract games: 7 Wonders, Amazons, AtariGo, Ataxx, Breakthrough, Chinese Dark Chess, Connect6, NoGo, Pentalath, Othello, and Catch the Lion.
Author: Dimitri Bertsekas
Publisher: Athena Scientific
ISBN: 1886529299
Category : Computers
Languages : en
Pages : 475
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Book Description
This is 2nd edition of the textbook used at the author's ASU research-oriented course on Reinforcement Learning (RL), offered in each of the last six years. Its purpose is to give an overview of the RL methodology, particularly as it relates to problems of optimal and suboptimal decision and control, as well as discrete optimization. While in this book mathematical proofs are deemphasized, there is considerable related analysis, which supports the conclusions and can be found in the author's recent RL and DP books. These books also contain additional material on off-line training of neural networks, on the use of policy gradient methods for approximation in policy space, and on aggregation.
Author: Dimitri Bertsekas
Publisher: Athena Scientific
ISBN: 1886529493
Category : Computers
Languages : en
Pages : 421
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Book Description
These lecture notes were prepared for use in the 2023 ASU research-oriented course on Reinforcement Learning (RL) that I have offered in each of the last five years. Their purpose is to give an overview of the RL methodology, particularly as it relates to problems of optimal and suboptimal decision and control, as well as discrete optimization. There are two major methodological RL approaches: approximation in value space, where we approximate in some way the optimal value function, and approximation in policy space, whereby we construct a (generally suboptimal) policy by using optimization over a suitably restricted class of policies.The lecture notes focus primarily on approximation in value space, with limited coverage of approximation in policy space. However, they are structured so that they can be easily supplemented by an instructor who wishes to go into approximation in policy space in greater detail, using any of a number of available sources, including the author's 2019 RL book. While in these notes we deemphasize mathematical proofs, there is considerable related analysis, which supports our conclusions and can be found in the author's recent RL and DP books. These books also contain additional material on off-line training of neural networks, on the use of policy gradient methods for approximation in policy space, and on aggregation.
Author: Richard S. Sutton
Publisher: MIT Press
ISBN: 0262039249
Category : Computers
Languages : en
Pages : 549
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Book Description
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. 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 Reinforcement Learning, 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. 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 for which exact solutions can be found. Many algorithms presented in this part are new to the second edition, including UCB, Expected Sarsa, and Double Learning. Part II extends these ideas to function approximation, with new sections on such topics as artificial neural networks and the Fourier basis, and offers expanded treatment of off-policy learning and policy-gradient methods. Part III has new chapters on reinforcement learning's relationships to psychology and neuroscience, as well as an updated case-studies chapter including AlphaGo and AlphaGo Zero, Atari game playing, and IBM Watson's wagering strategy. The final chapter discusses the future societal impacts of reinforcement learning.
Author: Marc Annacchino
Publisher: Butterworth-Heinemann
ISBN: 0750677325
Category : Business & Economics
Languages : en
Pages : 602
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Book Description
Covers the entire process of product development from idea to launch without missing a step!
Author: Glen Petersen
Publisher: CRC Press
ISBN: 1000893820
Category : Business & Economics
Languages : en
Pages : 296
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Book Description
What exactly is sales force automation? The idea is simple - using technology to maximize sale productivity, minimize cost and enhance customer service. This "ultimate competitive weapon" can streamline the sales process, target the right customers and dramatically eliminate downtime and waste. High-Impact Sales Force Automation is a hands-on guide to implementing the latest computer technology in sales and marketing departments. The author's unique background in both business and science provides a practical, yet in-depth perspective on sales force automation. And all with a sharp focus on the backbone of any business: the customer. This book is an excellent reference for corporate managers, sales professionals, organizational planners, marketing consultants and anyone interested in improving sales, customer service and quality control. Real-life business models and concrete examples make applying these concepts to any organization as simple as clicking on a mouse.
Author: Kelly L. Murdock
Publisher: John Wiley & Sons
ISBN: 0470908378
Category : Computers
Languages : en
Pages : 1281
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Book Description
Updated version of the bestselling 3ds Max book on the market Used by more than 150,000 people, and the winner of more than 65 industry awards, 3ds Max is the world's most popular animation modeling and rendering software for film, television, video games, and design visualization. 3ds Max Bible is the world’s most popular book for getting the most out of the software. Whether a novice looking to create something immediately using the Quick Start tutorial, or an experienced 3ds Max user who simply wants to check out the software's latest and greatest features, this update to the bestselling 3ds Max book on the market continues to be the most comprehensive reference on this highly complex application. Packed with expert advice, timesaving tips, and more than 150 step-by-step tutorials 16-page color insert highlights the work of some of today’s most cutting-edge 3D artists Includes a companion DVD with a searchable, full-color version of the 3ds Max Bible, as well as customizable models and textures The only comprehensive reference-tutorial on 3ds Max, it's no wonder the 3ds Max Bible is the bestselling 3ds Max book in the world and a favorite of both amateur and professional animators. Note: CD-ROM/DVD and other supplementary materials are not included as part of eBook file.
Author: United States. Department of the Army
Publisher:
ISBN:
Category : Aeronautical instruments
Languages : en
Pages : 112
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Book Description
