Learn To Play Go
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Learn To Play Go
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Author : Janice Kim
language : en
Publisher:
Release Date : 2011-04-01
Learn To Play Go written by Janice Kim and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-04-01 with Games categories.
The Palace of Memory is the fifth volume of the award-winning Learn to Play Go series. Covers some principles of the opening and the endgame and of something called "shape." Good shape is an intersection between tactics and strategy. Shows some of the templates of basic shape and thier use in fighting. Contains guides to the opening. Shows how to calculate the size of endgame moves. Includes self-test section.
The Magic Of Go
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Author : Ch'i-hun Cho
language : en
Publisher: Ishi Press International
Release Date : 1988
The Magic Of Go written by Ch'i-hun Cho and has been published by Ishi Press International this book supported file pdf, txt, epub, kindle and other format this book has been release on 1988 with Games categories.
A unique introduction to the game and culture of GO, and the first book in a series by Chikun, this step-by-step approach takes readers from the basic rules to advanced play, and includes fascinating information about the game itself.
The Dragon Style
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Author : Janice Kim
language : en
Publisher: Hal Leonard Publishing Corporation
Release Date : 2011-05-01
The Dragon Style written by Janice Kim and has been published by Hal Leonard Publishing Corporation this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-05-01 with Games categories.
The Dragon Style is the third volume in the popular Learn to Play Go series. Topics include seven deadly Go sins and eight secrets of winning play. Real games - even, high, and low handicap - are analyzed in depth. Includes a self-testing section and an extensive glossary of Go terminology.
Opening Theory Made Easy
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Author : Hideo Ōtake
language : en
Publisher: Ishi Press International
Release Date : 1992
Opening Theory Made Easy written by Hideo Ōtake and has been published by Ishi Press International this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Games & Activities categories.
Teach Yourself Go
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Author : Charles Matthews
language : en
Publisher: McGraw-Hill
Release Date : 2003-11-26
Teach Yourself Go written by Charles Matthews and has been published by McGraw-Hill this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-11-26 with Games categories.
Consisting of black and white pebbles and a grid-work playing board, the ancient Asian game of go appears much simpler than chess, but it continues to stump the most sophisticated supercomputers. Teach Yourself Go explains the rules of the game and, using step-by-step illustrations, helps you acquire a solid understanding of how go is played. You also learn about the origins of the game, its long history, and the body of legend, rituals, art, and literature that it has inspired.
A Scientific Introduction To Go
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Author : Yu-Chia Yang
language : en
Publisher:
Release Date : 2002
A Scientific Introduction To Go written by Yu-Chia Yang and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Go (Game) categories.
How To Play Go A Beginners To Expert Guide To Learn The Game Of Go
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Author : Tim Ander
language : en
Publisher: CRB Publishing
Release Date : 2017-12-18
How To Play Go A Beginners To Expert Guide To Learn The Game Of Go written by Tim Ander and has been published by CRB Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-12-18 with Games & Activities categories.
Discover the Fascinating Eastern Game That’s Lasted for Millennia! What is Go? Go is a deceptively simple two-player game, played on square boards of various sizes. According to legend, the Chinese Emperor Yau invented this game to teach his son concentration, balance, and discipline. Over time, this game spread to Japan – and across the globe. For over four millennia, war leaders and sages have consulted this game to learn strategy, wisdom, and mental mastery. Inside How to Play Go, you’ll discover everything you need to know to play this ancient game. You’ll learn all the basics of capturing territory and pieces (including self-capture), handling dead stones, and mastering the endgame. This book explains the scoring system of Go – and how to grow from a beginner player to true mastery. How to Play Go explains advanced Go concepts like the Ko Rule, Eyes, and Dead/Live Groups. You’ll discover Atari, Handicaps, Komi, Cutting, and much more! Immerse yourself in a vast array of Go strategies: Territory Capturing The Ladder and the Net Good/Bad Shapes Ponnuki The Mouth Connections, Stretching, and Diagonals One-Point and Two-Point Jumps The Knight Move and the Large Knight Move With this information, you can master this mystical game and increase your mental power!
Learning To Play
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Author : Aske Plaat
language : en
Publisher: Springer Nature
Release Date : 2020-11-21
Learning To Play written by Aske Plaat and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-21 with Computers categories.
In this textbook the author takes as inspiration recent breakthroughs in game playing to explain how and why deep reinforcement learning works. In particular he shows why two-person games of tactics and strategy fascinate scientists, programmers, and game enthusiasts and unite them in a common goal: to create artificial intelligence (AI). After an introduction to the core concepts, environment, and communities of intelligence and games, the book is organized into chapters on reinforcement learning, heuristic planning, adaptive sampling, function approximation, and self-play. The author takes a hands-on approach throughout, with Python code examples and exercises that help the reader understand how AI learns to play. He also supports the main text with detailed pointers to online machine learning frameworks, technical details for AlphaGo, notes on how to play and program Go and chess, and a comprehensive bibliography. The content is class-tested and suitable for advanced undergraduate and graduate courses on artificial intelligence and games. It's also appropriate for self-study by professionals engaged with applications of machine learning and with games development. Finally it's valuable for any reader engaged with the philosophical implications of artificial and general intelligence, games represent a modern Turing test of the power and limitations of AI.
Artificial Intelligence
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Author : Melanie Mitchell
language : en
Publisher: Farrar, Straus and Giroux
Release Date : 2019-10-15
Artificial Intelligence written by Melanie Mitchell and has been published by Farrar, Straus and Giroux this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-15 with Computers categories.
“After reading Mitchell’s guide, you’ll know what you don’t know and what other people don’t know, even though they claim to know it. And that’s invaluable.” —The New York Times A leading computer scientist brings human sense to the AI bubble. No recent scientific enterprise has proved as alluring, terrifying, and filled with extravagant promise and frustrating setbacks as artificial intelligence. The award-winning author Melanie Mitchell, a leading computer scientist, now reveals AI’s turbulent history and the recent spate of apparent successes, grand hopes, and emerging fears surrounding it. In Artificial Intelligence, Mitchell turns to the most urgent questions concerning AI today: How intelligent—really—are the best AI programs? How do they work? What can they actually do, and when do they fail? How humanlike do we expect them to become, and how soon do we need to worry about them surpassing us? Along the way, she introduces the dominant models of modern AI and machine learning, describing cutting-edge AI programs, their human inventors, and the historical lines of thought underpinning recent achievements. She meets with fellow experts such as Douglas Hofstadter, the cognitive scientist and Pulitzer Prize–winning author of the modern classic Gödel, Escher, Bach, who explains why he is “terrified” about the future of AI. She explores the profound disconnect between the hype and the actual achievements in AI, providing a clear sense of what the field has accomplished and how much further it has to go. Interweaving stories about the science of AI and the people behind it, Artificial Intelligence brims with clear-sighted, captivating, and accessible accounts of the most interesting and provocative modern work in the field, flavored with Mitchell’s humor and personal observations. This frank, lively book is an indispensable guide to understanding today’s AI, its quest for “human-level” intelligence, and its impact on the future for us all.
Python Reinforcement Learning
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Author : Sudharsan Ravichandiran
language : en
Publisher: Packt Publishing Ltd
Release Date : 2019-04-18
Python Reinforcement Learning written by Sudharsan Ravichandiran and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-04-18 with Computers categories.
Apply modern reinforcement learning and deep reinforcement learning methods using Python and its powerful libraries Key FeaturesYour entry point into the world of artificial intelligence using the power of PythonAn example-rich guide to master various RL and DRL algorithmsExplore the power of modern Python libraries to gain confidence in building self-trained applicationsBook Description Reinforcement Learning (RL) is the trending and most promising branch of artificial intelligence. This Learning Path will help you master not only the basic reinforcement learning algorithms but also the advanced deep reinforcement learning algorithms. The Learning Path starts with an introduction to RL followed by OpenAI Gym, and TensorFlow. You will then explore various RL algorithms, such as Markov Decision Process, Monte Carlo methods, and dynamic programming, including value and policy iteration. You'll also work on various datasets including image, text, and video. This example-rich guide will introduce you to deep RL algorithms, such as Dueling DQN, DRQN, A3C, PPO, and TRPO. You will gain experience in several domains, including gaming, image processing, and physical simulations. You'll explore TensorFlow and OpenAI Gym to implement algorithms that also predict stock prices, generate natural language, and even build other neural networks. You will also learn about imagination-augmented agents, learning from human preference, DQfD, HER, and many of the recent advancements in RL. By the end of the Learning Path, you will have all the knowledge and experience needed to implement RL and deep RL in your projects, and you enter the world of artificial intelligence to solve various real-life problems. This Learning Path includes content from the following Packt products: Hands-On Reinforcement Learning with Python by Sudharsan RavichandiranPython Reinforcement Learning Projects by Sean Saito, Yang Wenzhuo, and Rajalingappaa ShanmugamaniWhat you will learnTrain an agent to walk using OpenAI Gym and TensorFlowSolve multi-armed-bandit problems using various algorithmsBuild intelligent agents using the DRQN algorithm to play the Doom gameTeach your agent to play Connect4 using AlphaGo ZeroDefeat Atari arcade games using the value iteration methodDiscover how to deal with discrete and continuous action spaces in various environmentsWho this book is for If you’re an ML/DL enthusiast interested in AI and want to explore RL and deep RL from scratch, this Learning Path is for you. Prior knowledge of linear algebra is expected.