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Author: Richard S. Sutton
Publisher: MIT Press
ISBN: 0262352702
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: Richard S. Sutton
Publisher: MIT Press
ISBN: 0262352702
Category : Computers
Languages : en
Pages : 549
Get Book Here
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: J. R. Moehringer
Publisher: Hachette Books
ISBN: 140130477X
Category : Fiction
Languages : en
Pages : 304
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Book Description
"What Hilary Mantel did for Thomas Cromwell and Paula McLain for Hadley Hemingway . . . Moehringer does for bank robber Willie Sutton" in this fascinating biographical novel of America's most successful bank robber (Newsday). Willie Sutton was born in the Irish slums of Brooklyn in 1901, and he came of age at a time when banks were out of control. Sutton saw only one way out and only one way to win the girl of his dreams. So began the career of America's most successful bank robber. During three decades Sutton became so good at breaking into banks, the FBI put him on its first-ever Most Wanted List. But the public rooted for the criminal who never fired a shot, and when Sutton was finally caught for good, crowds at the jail chanted his name. In J.R. Moehringer's retelling, it was more than need or rage that drove Sutton. It was his first love. And when he finally walked free -- a surprise pardon on Christmas Eve, 1969 -- he immediately set out to find her. "Electrifying." --Booklist (starred) "Thoroughly absorbing . . . Filled with vibrant and colorful re-creations of not one but several times in the American past." --Kevin Baker, author of Strivers Row "[J.R. Moehringer] has found an historical subject equal to his vivid imagination, gimlet journalistic eye, and pitch-perfect ear for dialogue. By turns suspenseful, funny, romantic, and sad--in short, a book you won't be able to put down." --John Burnham Schwartz, author of Reservation Road and The Commoner
Author: Neal Hutcheson
Publisher:
ISBN: 9780578654140
Category :
Languages : en
Pages : 240
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Book Description
The definitive biography of Appalachian moonshiner Popcorn Sutton, filled with color photography, exclusive interviews, historical background, and extensive accounts of his life and times.
Author: Halley Sutton
Publisher: Penguin
ISBN: 0593187733
Category : Fiction
Languages : en
Pages : 322
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Book Description
"A racy and hard-to-put-down piece of neo-noir."--Washington Post A modern-day noir featuring a twisty cat-and-mouse chase, this dark debut thriller tells the story of a woman who makes a living taking down terrible men...then finds herself in over her head and with blood on her hands. The only way out? Pull off one final con. Jo's job is blackmailing the most lecherous men in Los Angeles--handsy Hollywood producers, adulterous actors, corrupt cops. Sure, she likes the money she's making, which comes in handy for the debt she is paying off, but it's also a chance to take back power for the women of the city. Eager to prove herself to her coworker Lou and their enigmatic boss, known only as the Lady Upstairs, Jo takes on bigger and riskier jobs. When one of her targets is murdered, both the Lady Upstairs and the LAPD have Jo in their sights. Desperate to escape the consequences of her failed job, she decides to take on just one more sting--bringing down a rising political star. It's her biggest con yet--and she will do it behind the Lady's back, freeing both herself and Lou. But Jo soon learns that Lou and the Lady have secrets of their own, and that no woman is safe when there is a life-changing payout on the line. A delicious debut thriller crackling with wit and an unforgettable feminist voice, The Lady Upstairs is a chilling and endlessly surprising take on female revenge.
Author: Laura Graesser
Publisher: Addison-Wesley Professional
ISBN: 0135172489
Category : Computers
Languages : en
Pages : 629
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Book Description
The Contemporary Introduction to Deep Reinforcement Learning that Combines Theory and Practice Deep reinforcement learning (deep RL) combines deep learning and reinforcement learning, in which artificial agents learn to solve sequential decision-making problems. In the past decade deep RL has achieved remarkable results on a range of problems, from single and multiplayer games—such as Go, Atari games, and DotA 2—to robotics. Foundations of Deep Reinforcement Learning is an introduction to deep RL that uniquely combines both theory and implementation. It starts with intuition, then carefully explains the theory of deep RL algorithms, discusses implementations in its companion software library SLM Lab, and finishes with the practical details of getting deep RL to work. This guide is ideal for both computer science students and software engineers who are familiar with basic machine learning concepts and have a working understanding of Python. Understand each key aspect of a deep RL problem Explore policy- and value-based algorithms, including REINFORCE, SARSA, DQN, Double DQN, and Prioritized Experience Replay (PER) Delve into combined algorithms, including Actor-Critic and Proximal Policy Optimization (PPO) Understand how algorithms can be parallelized synchronously and asynchronously Run algorithms in SLM Lab and learn the practical implementation details for getting deep RL to work Explore algorithm benchmark results with tuned hyperparameters Understand how deep RL environments are designed Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.
Author: Robert I. Sutton
Publisher: Business Plus
ISBN: 0759518017
Category : Business & Economics
Languages : en
Pages : 166
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Book Description
The definitive guide to working with -- and surviving -- bullies, creeps, jerks, tyrants, tormentors, despots, backstabbers, egomaniacs, and all the other assholes who do their best to destroy you at work. "What an asshole!" How many times have you said that about someone at work? You're not alone! In this groundbreaking book, Stanford University professor Robert I. Sutton builds on his acclaimed Harvard Business Review article to show you the best ways to deal with assholes...and why they can be so destructive to your company. Practical, compassionate, and in places downright funny, this guide offers: Strategies on how to pinpoint and eliminate negative influences for good Illuminating case histories from major organizations A self-diagnostic test and a program to identify and keep your own "inner jerk" from coming out The No Asshole Rule is a New York Times, Wall Street Journal, USA Today and Business Week bestseller.
Author: Jerome A. Jackson
Publisher: University of Oklahoma Press
ISBN: 9780806137452
Category : Biography & Autobiography
Languages : en
Pages : 292
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Book Description
The first biography of the distinguished ornithologist
Author: Judge Jeffrey S. Sutton
Publisher: Oxford University Press
ISBN: 0190866063
Category : Law
Languages : en
Pages : 297
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Book Description
When we think of constitutional law, we invariably think of the United States Supreme Court and the federal court system. Yet much of our constitutional law is not made at the federal level. In 51 Imperfect Solutions, U.S. Court of Appeals Judge Jeffrey S. Sutton argues that American Constitutional Law should account for the role of the state courts and state constitutions, together with the federal courts and the federal constitution, in protecting individual liberties. The book tells four stories that arise in four different areas of constitutional law: equal protection; criminal procedure; privacy; and free speech and free exercise of religion. Traditional accounts of these bedrock debates about the relationship of the individual to the state focus on decisions of the United States Supreme Court. But these explanations tell just part of the story. The book corrects this omission by looking at each issue-and some others as well-through the lens of many constitutions, not one constitution; of many courts, not one court; and of all American judges, not federal or state judges. Taken together, the stories reveal a remarkably complex, nuanced, ever-changing federalist system, one that ought to make lawyers and litigants pause before reflexively assuming that the United States Supreme Court alone has all of the answers to the most vexing constitutional questions. If there is a central conviction of the book, it's that an underappreciation of state constitutional law has hurt state and federal law and has undermined the appropriate balance between state and federal courts in protecting individual liberty. In trying to correct this imbalance, the book also offers several ideas for reform.
Author: Antony C. Sutton
Publisher: Crown
ISBN:
Category : History
Languages : en
Pages : 296
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Book Description
Afsnit: The "Detente" aggression cycle; More trade, more casualities; Censorship and our military assistance to the Soviet Union; Construction of the Soviet military-industrial complex; Direct supply of weapons and military assistance to the soviets; American-built plants for Soviet tanks and armored cars; American assistance for Soviet military vehicles; Peaceful explosives, ammunition, and guns; Helping the Russians at sea; From the "Ilya Mourometz" to the Supersonic "Konkordskiy"; Space, missiles, and military instrumentation; Congress and the bureaucrats; Why national suicide - some answers; Appendix A: Some background information about "National Suicide"; Appendix B: Testimony of the Author Before Subcommittee VII of the Platform Commitee of the Republican Party at Miami Beach, Florida, August 15, 1972, at 2:30 P.M.; Appendix C: Specifications of the ninety-six Soviet ships identified transportating weapons and supplies to North Vietnam, 1966-1971
Author: Karah Sutton
Publisher: Yearling
ISBN: 0593121686
Category : Juvenile Fiction
Languages : en
Pages : 321
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Book Description
The enchanting tale of a wolf who forms an unlikely alliance with Baba Yaga to save the forest from a wicked tsar. "Karah Sutton has crafted a vivid and rollicking adventure that proves a wolf doesn't have to be big or bad to win the day!" --Rosanne Parry, New York Times bestselling author of A Wolf Called Wander Since she was a pup, Zima has been taught to fear humans--especially witches--but when her family is threatened, she has no choice but to seek help from the witch Baba Yaga. Baba Yaga never does magic for free, but it just so happens that she needs a wolf's keen nose for a secret plan she's brewing . . . Before Zima knows what's happening, the witch has cast a switching spell and run off into the woods, while Zima is left behind in Baba Yaga's hut--and Baba Yaga's body! Meanwhile, a young village girl named Nadya is also seeking the witch's help, and when she meets Zima (in Baba Yaga's form), they discover that they face a common enemy. With danger closing in, Zima must unite the wolves, the witches and the villagers against an evil that threatens them all. Infused with Russian folklore and brought vividly to life in Pauliina Hannuniemi's gorgeous illustrations, Karah Sutton's magical debut is a celebration of wolves and witches, and the importance of finding common ground with our so-called enemies.
