Optima Poker Trainer
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| Author | : Kia Hamadani |
| Publisher | : Kiarash Hamadani |
| Total Pages | : 131 |
| Release | : 2021-07-22 |
| Genre | : Games & Activities |
| ISBN | : |
The underlying algorithm that drives Optima Poker Trainer has been patented with the USPTO, so you will not find this training process anywhere else in the world. The Patent Number is 11,847,929 with title “System and method for creating a poker algorithm capable of independently playing and training users how to play consistently optimal poker.” An algorithm is defined as a step-by-step process used to accomplish a specific task. This book was originally entitled “The Poker Algorithm,” but the title was changed to Optima Poker Trainer in order to match the name of the integrated FREE MOBILE APP now available on iOS and Google Play. To play while you read, just search for “Optima Poker Trainer” through the iOS or Google Play App Stores. The free mobile app provides an exciting platform to learn the Game Theory Optimal Exploitative (G.T.O.X.) poker strategy while enjoying the rush of playing REAL No Limit Texas Hold’em against computerized opponents. We’re talking about playing genuine multiplayer poker with TRILLIONS of completely random possible hands to learn from, not just limited pre-determined scenarios like all those other poker training apps that charge hundreds or even thousands of dollars to use. Optima Poker Trainer is much more than just another book or mobile app about optimal poker strategy. THIS IS A UNIQUE MATHEMATICAL SOLUTION TO TEXAS HOLD’EM POKER! With a proprietary algorithm that combines Game Theory Optimal poker strategy with Exploitative poker strategy, Optima Poker Trainer teaches players a straightforward process for how to improve and even perfect their poker skills. The algorithm is a proprietary 12-step system that applies to any possible hand of No Limit Texas Hold’em against any number of opponents. See the Table Of Contents for a brief description of each of the 12 steps. The strategies described can also be applied to other variations of poker such as Omaha, Short Deck, Limit Hold’em, and more. The algorithm instructs users how to play consistently optimal No Limit Texas Hold’em in ANY particular situation, and against ANY unique opponent. Please keep in mind that various updates are still required, so this is still a work in progress. The Optima Poker Trainer free mobile app includes the following customizable game features, with corresponding adjustments to the GTOX algorithm for each feature: 1. Number of Opponents: Choose from 1 to 9 Opponents 2. Opponent Types: Choose from Loose, Very Loose, Tight, Very Tight, GTO, GTOX, or Random Opponent Types 3. Chip Stack Sizes: Choose from Short (25 big blinds), Medium (50 Big Blinds), or Deep (100 Big Blinds) Stack Sizes 4. Additional customizable game features including Tournament Mode, Rakes, Antes, Omaha, Short Deck, and Limit Hold’em are all coming soon. As well as various additional updates and GTO adjustments. So make sure to keep your mobile app updated! FOR A LIMITED TIME ONLY, THE MOBILE APP IS NOW AVAILABLE FOR FREE DOWNLOAD ON iOS AND GOOGLE PLAY WITH NO IN-APP PURCHASES REQUIRED, NO ADVERTISEMENTS, AND NO USER DATA COLLECTION! In addition to all the details on the 12-step algorithm, the Optima Poker Trainer book now includes 2 bonus chapters that extrapolate optimal poker strategy concepts into other realms of life. These fascinating ruminations conclude in a final chapter that outlines and explains the optimal betting strategy algorithms for Blackjack, Craps, Baccarat, and other casino games. For more information visit us online at www.OptimaPokerTrainer.com
| Author | : Andrew Brokos |
| Publisher | : |
| Total Pages | : 243 |
| Release | : 2019-06-02 |
| Genre | : |
| ISBN | : 9781070982724 |
Think game theory is abstract and incomprehensible? Think again! Play Optimal Poker shatters the myth that game theory is only for elite poker players. Renowned poker pro and coach Andrew Brokos takes you step-by-step through the fundamentals, explaining core game theory principles and how to apply them in real poker situations. Whether you play small stakes or high stakes, cash games or tournaments, Play Optimal Poker provides powerful new tools to help you navigate tricky situations, hold your own against the toughest competition, and exploit common mistakes. Once you understand the fundamentals of game theory, you'll approach the poker table with the confidence to handle anything the game can throw at you. You will learn how to: Use powerful game theory concepts like equilibrium and indifference Apply game theory principles to everyday poker decisions Build polarized and condensed ranges Profit from both aggression and passivity Manipulate your ranges to exploit common mistakes Hold your own against world-class opponents Andrew Brokos has been a professional poker player for more than fifteen years, with hundreds of thousands in cash game winnings, final tables in major online tournament series, and three Top 100 finishes in the World Series of Poker Main Event. As a coach and host of the popular Thinking Poker Podcast, Andrew is widely regarded for his ability to explain complex concepts in terms anyone can understand. "Working with Andrew instantly leveled up my game, but more importantly it gave me a great foundation on which to build my skills over time by learning to think about the game in the right way. As a rec player the work we did has really had a positive impact on my life because I just get a lot more joy out of poker now that I'm winning much more consistently and moving up the stakes." -Michael S., poker coaching student "There's just a ton of useful stuff here. I'm already starting to think... OK, every hand that I play, I need to be thinking about what hands out of my range am I bluffing here?" -Eric L., lawyer and "serious amateur" poker player
| Author | : Avi Wigderson |
| Publisher | : Princeton University Press |
| Total Pages | : 434 |
| Release | : 2019-10-29 |
| Genre | : Computers |
| ISBN | : 0691189137 |
From the winner of the Turing Award and the Abel Prize, an introduction to computational complexity theory, its connections and interactions with mathematics, and its central role in the natural and social sciences, technology, and philosophy Mathematics and Computation provides a broad, conceptual overview of computational complexity theory—the mathematical study of efficient computation. With important practical applications to computer science and industry, computational complexity theory has evolved into a highly interdisciplinary field, with strong links to most mathematical areas and to a growing number of scientific endeavors. Avi Wigderson takes a sweeping survey of complexity theory, emphasizing the field’s insights and challenges. He explains the ideas and motivations leading to key models, notions, and results. In particular, he looks at algorithms and complexity, computations and proofs, randomness and interaction, quantum and arithmetic computation, and cryptography and learning, all as parts of a cohesive whole with numerous cross-influences. Wigderson illustrates the immense breadth of the field, its beauty and richness, and its diverse and growing interactions with other areas of mathematics. He ends with a comprehensive look at the theory of computation, its methodology and aspirations, and the unique and fundamental ways in which it has shaped and will further shape science, technology, and society. For further reading, an extensive bibliography is provided for all topics covered. Mathematics and Computation is useful for undergraduate and graduate students in mathematics, computer science, and related fields, as well as researchers and teachers in these fields. Many parts require little background, and serve as an invitation to newcomers seeking an introduction to the theory of computation. Comprehensive coverage of computational complexity theory, and beyond High-level, intuitive exposition, which brings conceptual clarity to this central and dynamic scientific discipline Historical accounts of the evolution and motivations of central concepts and models A broad view of the theory of computation's influence on science, technology, and society Extensive bibliography
| Author | : Gregory Bateson |
| Publisher | : University of Chicago Press |
| Total Pages | : 572 |
| Release | : 2000 |
| Genre | : Medical |
| ISBN | : 9780226039053 |
Gregory Bateson was a philosopher, anthropologist, photographer, naturalist, and poet, as well as the husband and collaborator of Margaret Mead. This classic anthology of his major work includes a new Foreword by his daughter, Mary Katherine Bateson. 5 line drawings.
| Author | : Peter Watts |
| Publisher | : Macmillan |
| Total Pages | : 388 |
| Release | : 2006-10-03 |
| Genre | : Fiction |
| ISBN | : 1429955198 |
Hugo and Shirley Jackson award-winning Peter Watts stands on the cutting edge of hard SF with his acclaimed novel, Blindsight Two months since the stars fell... Two months of silence, while a world held its breath. Now some half-derelict space probe, sparking fitfully past Neptune's orbit, hears a whisper from the edge of the solar system: a faint signal sweeping the cosmos like a lighthouse beam. Whatever's out there isn't talking to us. It's talking to some distant star, perhaps. Or perhaps to something closer, something en route. So who do you send to force introductions with unknown and unknowable alien intellect that doesn't wish to be met? You send a linguist with multiple personalities, her brain surgically partitioned into separate, sentient processing cores. You send a biologist so radically interfaced with machinery that he sees x-rays and tastes ultrasound. You send a pacifist warrior in the faint hope she won't be needed. You send a monster to command them all, an extinct hominid predator once called vampire, recalled from the grave with the voodoo of recombinant genetics and the blood of sociopaths. And you send a synthesist—an informational topologist with half his mind gone—as an interface between here and there. Pray they can be trusted with the fate of a world. They may be more alien than the thing they've been sent to find. At the Publisher's request, this title is being sold without Digital Rights Management Software (DRM) applied.
| Author | : Christian Thibaudeau |
| Publisher | : Createspace Independent Publishing Platform |
| Total Pages | : 260 |
| Release | : 2014-06-04 |
| Genre | : Sports & Recreation |
| ISBN | : 9781499766509 |
The first book by Christian Thibaudeau and a classic strength training book. The Black Book includes informations that are applicable regardless of your goal, bodybuilders, athletes, powerlifters and health enthusiasts will all get something out of it. Read the book that started it all!
| Author | : Ian Hacking |
| Publisher | : Cambridge University Press |
| Total Pages | : 326 |
| Release | : 2001-07-02 |
| Genre | : Mathematics |
| ISBN | : 9780521775014 |
An introductory 2001 textbook on probability and induction written by a foremost philosopher of science.
| Author | : Richard S. Sutton |
| Publisher | : MIT Press |
| Total Pages | : 549 |
| Release | : 2018-11-13 |
| Genre | : Computers |
| ISBN | : 0262352702 |
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 | : Steven S. Skiena |
| Publisher | : Springer |
| Total Pages | : 456 |
| Release | : 2017-07-01 |
| Genre | : Computers |
| ISBN | : 3319554441 |
This engaging and clearly written textbook/reference provides a must-have introduction to the rapidly emerging interdisciplinary field of data science. It focuses on the principles fundamental to becoming a good data scientist and the key skills needed to build systems for collecting, analyzing, and interpreting data. The Data Science Design Manual is a source of practical insights that highlights what really matters in analyzing data, and provides an intuitive understanding of how these core concepts can be used. The book does not emphasize any particular programming language or suite of data-analysis tools, focusing instead on high-level discussion of important design principles. This easy-to-read text ideally serves the needs of undergraduate and early graduate students embarking on an “Introduction to Data Science” course. It reveals how this discipline sits at the intersection of statistics, computer science, and machine learning, with a distinct heft and character of its own. Practitioners in these and related fields will find this book perfect for self-study as well. Additional learning tools: Contains “War Stories,” offering perspectives on how data science applies in the real world Includes “Homework Problems,” providing a wide range of exercises and projects for self-study Provides a complete set of lecture slides and online video lectures at www.data-manual.com Provides “Take-Home Lessons,” emphasizing the big-picture concepts to learn from each chapter Recommends exciting “Kaggle Challenges” from the online platform Kaggle Highlights “False Starts,” revealing the subtle reasons why certain approaches fail Offers examples taken from the data science television show “The Quant Shop” (www.quant-shop.com)
| Author | : Georgios N. Yannakakis |
| Publisher | : Springer |
| Total Pages | : 350 |
| Release | : 2018-02-17 |
| Genre | : Computers |
| ISBN | : 3319635190 |
This is the first textbook dedicated to explaining how artificial intelligence (AI) techniques can be used in and for games. After introductory chapters that explain the background and key techniques in AI and games, the authors explain how to use AI to play games, to generate content for games and to model players. The book will be suitable for undergraduate and graduate courses in games, artificial intelligence, design, human-computer interaction, and computational intelligence, and also for self-study by industrial game developers and practitioners. The authors have developed a website (http://www.gameaibook.org) that complements the material covered in the book with up-to-date exercises, lecture slides and reading.
