DOCSLIB.ORG

PDF’ That Details How I Learn from Poker Books

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
PDF’ That Details How I Learn from Poker Books How to Study Poker The Workbook Sky Matsuhashi Thank you very much for purchasing my first book! Whether you got the paperback, eBook or the Audiobook, this companion workbook will help you to improve your skills day after day. All of the important topics and techniques from the book are in here, along with the Weekly Poker Study Plan for you to adapt and use for your own studies. Study smart, play much, and make your next session the best yet. -Sky P a g e | 2 1. How This Book Will Help You The key to learning from How To Study Poker Volume 1, and every poker book you read, will be to take action. Follow the action steps and put one thing to work after every chapter you read. “Action is just one of my skills.” -Hiroyuki Sanada Action Step #1: How To Learn From Poker Strategy Books 1. Go to the show notes page for Podcast Episode #21 called ‘How to Learn From Poker Strategy Books’ (http://www.smartpokerstudy.com/pod21) 2. Download and listen to the episode from that page 3. Within the show notes page, get the ‘7 Steps to Poker Book Learning PDF’ that details how I learn from Poker Books 4. Use the 7 Steps to get the most out of this book and every future poker book you read P a g e | 3 2. Characteristics Of Great Poker Minds “If your mind is strong, all difficult things will become easy; if your mind is weak, all easy things will become difficult.” - Chinese proverb Patient & Persevering A journey to the peak of poker perfection will take a lot of time, dedication and hard work. Those who show patience and perseverance and put the effort forth in daily study and play sessions will eventually get to the levels they aspire to. Open-minded A great poker mind is accepting of new ideas and is willing to put to the test any strategy they come across. There’s no one right way to play any hand nor any situation. Always Observant & Calculating One aspect to long-term poker success is your ability to observe your opponents, to find their weaknesses and device ways to exploit them. Your mind must always be on the lookout for opponent weaknesses. Strives To Make the Best Plays . Always Great poker minds learn from their mistakes, and strive to never repeat them. When you find a leak or a repeating mistake, your mission should be to find the root cause and rip it from your game. Poker is a game of never ending improvement. P a g e | 4 3. Developing Skills To The Level Of Unconscious Competence “Knowledge is not skill. Knowledge plus ten thousand times is skill.” -Shinichi Suzuki Level 1: Unconscious Incompetence This is where we all start with our first hand of poker. At this level we’re so inexperienced that we didn’t even know what we didn’t know. Level 2: Conscious Incompetence Now we’re applying new skills, and we are aware that there’s a lot that we don’t know yet. Level 3: Conscious Competence Things are now clicking into place. We’re trying out our new skills and doing lots of practice and experimenting. We have skills, but we need to concentrate to put them into action Level 4: Unconscious Competence This is the level we’re striving for. Our skills are becoming natural, and gut reactions take over as we have a great “feel” for the game. Action Step #6 – Listing The Skills You Need And Working To Improve Only One Make a list of the 5 poker skills/areas you want to work on next. Ex. Cbetting, Open Ranges, 3betting, Outs & Odds, Value Betting Next put them in order of importance: 1. _______________ 2. _______________ 3. _______________ 4. _______________ 5. _______________ Now, begin working on improving the first skill/area on your list. When you feel you have a great working knowledge of this and can access it easily while playing, move on to the next. P a g e | 5 4. Improving Poker Skills With Purposeful Practice “Practice does not make perfect. Only perfect practice makes perfect.” -Vince Lombardi 1. Begin With A Clear Goal Know exactly the skill you need to work on. You can’t fix your 3bet game if you’re watching a cbet video, or if you’re reviewing bustout hands. The Focusing Question “What’s the ONE Thing I can study right now such that by learning it everything else will be easier or unnecessary 2. Plan Your Work, Work Your Plan Take some time to select videos, articles, podcasts and chapters from books that will teach you the info and skills you’re missing. You will want to take notes on all you’ve learned as well so you can refer to them in the future. Do hand history reviews centered on your specific goal. 3. Challenge Yourself Put yourself in situations where you can practice what you’re learning. Try to teach others what you’ve learned. Record game tape and play FOCUS sessions. Push your limits and try to learn in more dynamic and impactful ways. 4. Measure Your Progress You can’t improve what you don’t measure. Every specific goal has a way of measuring your progress toward it. Find what you can measure (stat, profitability #, hours studying, etc.) and record it before and after studies. Action Step #7 – Utilizing Purposeful Practice Take the #1 skill you decided to work on from the previous chapter, and run through these four parts with it. Then get started on ingraining this skill into your unconscious competence by utilizing purposeful practice. P a g e | 6 5. Utilizing The Learning Process Model “The expert in anything was once a beginner.” -Helen Hayes The Learning Process Model is a common-sense approach to learning. It’s a cyclical process, starting with preparation and ending with analysis, before the cycle starts right back again. 1. Prepare: This is key for great poker performance, and spending a few minutes to a dedicated warm-up before each session is mandatory. 2. Perform: The session you play. Have one area of Focus for your session. This is the specific skill you’re working to ingrain in your game. Make a goal for your session, something to strive to attain. 3. Results: The outcome of your session. This is the $ won/lost, the # of tourneys or hands played or the session length. “Results don’t matter” is true of poker because it’s a long term game, but it doesn’t always feel that way. Strive to not care about the financial results of your session. 4. Evaluate: Reviewing your results after your session. This is where you can rate your level of play (A, B or C-game play), assess any tilt that came up, as well as determine how well you focused on your focus. Spend some time looking over any notes you made for your next study session. 5. Analysis: This is the time you spend off-the-felt working on your game. Normally it isn’t done immediately after a session. You should give yourself some time away from the session so you can analyze it more objectively. During this time you’ll review game tape, do hand history reviews, ask questions of forum/study group members, read books, work with a coach, listen to podcasts, etc. P a g e | 7 6. Directing Your Studies By Asking Great Questions “The quality of your life is determined by the quality of your questions.” -Dr. John Demartini The Most Useful Question: “Why?” Why did the BTN check behind? Why did villain check-raise? Why is doggy543 such a nitty player? Why did the opponent use 5x bet sizing? Why does this overly aggressive player always seem to make it to the tournament chip lead? Questions About Yourself Why did I tilt? Why did I 3bet shove on the bubble with 18bb’s? Why did I check-fold when I know that a check-raise would have likely gotten him to fold? Why didn’t I cbet in position on that Ace high board? More Great questions What’s the worst _______ they would open-raise here? How often will they fold to a 3bet? If I bet, will my opponent fold the hands they missed? Does the opponent slow-play strong hands? What types of hands are they likely to raise here? P a g e | 8 7. Determine Where You Want Poker To Take You “If you can dream it you can do it.” -Walt Disney In order to know what to work on, you need to know where you want poker to take you. Every journey is different based upon your intended destination. Your answers to these questions will guide you on your journey. Action Step #10 – Finding Your Poker Destination Why do I play poker? At what level of play (buy-in or stakes) will I feel I have achieved something great by reaching it? Do I want to play poker full-time, or just use it as a profitable part-time endeavor? P a g e | 9 8. Set SMART Poker Goals “Set your goals high and don’t stop till you get there.” -Bo Jackson Sample SMART Goal I will play in next year’s WSOP $10,000 Main Event by saving $835 per month from my poker bankroll over the next 12 months. Specific–The “S” in SMART SMART goals must be Specific; they define exactly what you intend to accomplish in clear and simple language.
Load more

Recommended publications
  • Most Important Fundamental Rule of Poker Strategy
    The Thirty-Third International FLAIRS Conference (FLAIRS-33) Most Important Fundamental Rule of Poker Strategy Sam Ganzfried,1 Max Chiswick 1Ganzfried Research Abstract start playing very quickly, even the best experts spend many years (for some an entire lifetime) learning and improving. Poker is a large complex game of imperfect information, Humans learn and improve in a variety of ways. The most which has been singled out as a major AI challenge prob- obvious are reading books, hiring coaches, poker forums and lem. Recently there has been a series of breakthroughs culmi- nating in agents that have successfully defeated the strongest discussions, and simply playing a lot to practice. Recently human players in two-player no-limit Texas hold ’em. The several popular software tools have been developed, most 1 strongest agents are based on algorithms for approximating notably PioSolver, where players solve for certain situa- Nash equilibrium strategies, which are stored in massive bi- tions, given assumptions for the hands the player and oppo- nary files and unintelligible to humans. A recent line of re- nent can have. This is based on the new concept of endgame search has explored approaches for extrapolating knowledge solving (Ganzfried and Sandholm 2015), where strategies from strong game-theoretic strategies that can be understood are computed for the latter portion of the game given fixed by humans. This would be useful when humans are the ulti- strategies for the trunk (which are input by the user). While mate decision maker and allow humans to make better deci- it has been pointed out that theoretically this approach is sions from massive algorithmically-generated strategies.
    [Show full text]
  • Texas Hold'em Poker
    11/5/2018 Rules of Card Games: Texas Hold'em Poker Pagat Poker Poker Rules Poker Variants Home Page > Poker > Variations > Texas Hold'em DE EN Choose your language Texas Hold'em Introduction Players and Cards The Deal and Betting The Showdown Strategy Variations Pineapple ‑ Crazy Pineapple ‑ Crazy Pineapple Hi‑Lo Irish Casino Versions Introduction Texas Hold'em is a shared card poker game. Each player is dealt two private cards and there are five face up shared (or "community") cards on the table that can be used by anyone. In the showdown the winner is the player who can make the best five‑card poker hand from the seven cards available. Since the 1990's, Texas Hold'em has become one of the most popular poker games worldwide. Its spread has been helped firstly by a number of well publicised televised tournaments such as the World Series of Poker and secondly by its success as an online game. For many people nowadays, poker has become synonymous with Texas Hold'em. This page assumes some familiarity with the general rules and terminology of poker. See the poker rules page for an introduction to these, and the poker betting and poker hand ranking pages for further details. Players and Cards From two to ten players can take part. In theory more could play, but the game would become unwieldy. A standard international 52‑card pack is used. The Deal and Betting Texas Hold'em is usually played with no ante, but with blinds. When there are more than two players, the player to dealer's left places a small blind, and the next player to the left a big blind.
    [Show full text]
  • Early Round Bluffing in Poker Author(S): California Jack Cassidy Source: the American Mathematical Monthly, Vol
    Early Round Bluffing in Poker Author(s): California Jack Cassidy Source: The American Mathematical Monthly, Vol. 122, No. 8 (October 2015), pp. 726-744 Published by: Mathematical Association of America Stable URL: http://www.jstor.org/stable/10.4169/amer.math.monthly.122.8.726 Accessed: 23-12-2015 19:20 UTC Your use of the JSTOR archive indicates your acceptance of the Terms & Conditions of Use, available at http://www.jstor.org/page/ info/about/policies/terms.jsp JSTOR is a not-for-profit service that helps scholars, researchers, and students discover, use, and build upon a wide range of content in a trusted digital archive. We use information technology and tools to increase productivity and facilitate new forms of scholarship. For more information about JSTOR, please contact [email protected]. Mathematical Association of America is collaborating with JSTOR to digitize, preserve and extend access to The American Mathematical Monthly. http://www.jstor.org This content downloaded from 128.32.135.128 on Wed, 23 Dec 2015 19:20:53 UTC All use subject to JSTOR Terms and Conditions Early Round Bluffing in Poker California Jack Cassidy Abstract. Using a simplified form of the Von Neumann and Morgenstern poker calculations, the author explores the effect of hand volatility on bluffing strategy, and shows that one should never bluff in the first round of Texas Hold’Em. 1. INTRODUCTION. The phrase “the mathematics of bluffing” often brings a puzzled response from nonmathematicians. “Isn’t that an oxymoron? Bluffing is psy- chological,” they might say, or, “Bluffing doesn’t work in online poker.
    [Show full text]
  • Abiding Chance: Online Poker and the Software of Self-Discipline
    ESSAYS Abiding Chance: Online Poker and the Software of Self- Discipline Natasha Dow Schüll A man sits before a large desktop monitor station, the double screen divided into twenty- four rectangles of equal size, each containing the green oval of a poker table with positions for nine players. The man is virtu- ally “seated” at all twenty- four tables, along with other players from around the world. He quickly navigates his mouse across the screen, settling for moments at a time on flashing windows where his input is needed to advance play at a given table. His rapid- fire esponsesr are enabled by boxed panels of colored numbers and letters that float above opponents’ names; the letters are acronyms for behavioral tendencies relevant to poker play, and the numbers are statistical scores identifying where each player falls in a range for those tendencies. Taken together, the letters and numbers supply the man with enough information to act strategically at a rate of hundreds of hands per hour. Postsession, the man opens his play- tracking database to make sure the software has successfully imported the few thousand hands he has just played. After quickly scrolling through to ensure that they are all there, he recalls some particularly challenging hands he would like to review and checks a number Thanks to Paul Rabinow and Limor Samimian- Darash, for prompting me to gather this material for a different article, and to Richard Fadok, Paul Gardner, Lauren Kapsalakis, and the students in my 2013 Self as Data graduate seminar at the Massachusetts Institute of Technology, for helping me to think through that material.
    [Show full text]
  • An Artificial Intelligence Agent for Texas Hold'em Poker
    AN ARTIFICIAL INTELL IGENCE AGENT FOR TEXAS HOLD’EM PO KER PATRICK MCCURLEY – 0 62 4 91 7 90 2 An Artificial Intelligence Agent for Texas Hold’em Poker I declare that this document represents my own work except where otherwise stated. Signed …………………………………………………………………………. 08/05/ 2009 Patrick McCurley – 062491790 Introduction 3 TABLE OF CONTENTS 1. Introduction ................................................................................................................................................................ 7 1.1 Problem Description...................................................................................................................................... 7 1.2 Aims and Objectives....................................................................................................................................... 7 1.3 Dissertation Outline ....................................................................................................................................... 8 1.4 Ethics .................................................................................................................................................................... 8 2 Background................................................................................................................................................................10 2.1 Artificial Intelligence and Poker .............................................................................................................10 2.1.1 Problem Domain Realization .........................................................................................................10
    [Show full text]
  • Building a Poker Playing Agent Based on Game Logs Using Supervised Learning
    FACULDADE DE ENGENHARIA DA UNIVERSIDADE DO PORTO Building a Poker Playing Agent based on Game Logs using Supervised Learning Luís Filipe Guimarães Teófilo Mestrado Integrado em Engenharia Informática e Computação Orientador: Professor Doutor Luís Paulo Reis 26 de Julho de 2010 Building a Poker Playing Agent based on Game Logs using Supervised Learning Luís Filipe Guimarães Teófilo Mestrado Integrado em Engenharia Informática e Computação Aprovado em provas públicas pelo Júri: Presidente: Professor Doutor António Augusto de Sousa Vogal Externo: Professor Doutor José Torres Orientador: Professor Doutor Luís Paulo Reis ____________________________________________________ 26 de Julho de 2010 iv Resumo O desenvolvimento de agentes artificiais que jogam jogos de estratégia provou ser um domínio relevante de investigação, sendo que investigadores importantes na área das ciências de computadores dedicaram o seu tempo a estudar jogos como o Xadrez e as Damas, obtendo resultados notáveis onde o jogador artificial venceu os melhores jogadores humanos. No entanto, os jogos estocásticos com informação incompleta trazem novos desafios. Neste tipo de jogos, o agente tem de lidar com problemas como a gestão de risco ou o tratamento de informação não fiável, o que torna essencial modelar adversários, para conseguir obter bons resultados. Nos últimos anos, o Poker tornou-se um fenómeno de massas, sendo que a sua popularidade continua a aumentar. Na Web, o número de jogadores aumentou bastante, assim como o número de casinos online, tornando o Poker numa indústria bastante rentável. Além disso, devido à sua natureza estocástica de informação imperfeita, o Poker provou ser um problema desafiante para a inteligência artificial. Várias abordagens foram seguidas para criar um jogador artificial perfeito, sendo que já foram feitos progressos nesse sentido, como o melhoramento das técnicas de modelação de oponentes.
    [Show full text]
  • Optimal Strategy Hand-Rank Table for Jacks Or Better, Double Bonus, and Joker Wild Video Poker
    Optimal Strategy Hand-rank Table for Jacks or Better, Double Bonus, and Joker Wild Video Poker By John Jungtae Kim A Thesis Submitted to the School of Graduate Studies in Partial Fulfilment of the Requirements for the Degree Master of Science McMaster University c Copyright by John Jungtae Kim, January 2012 MASTER OF SCIENCE (2012) McMaster University (Statistics) Hamilton, Ontario TITLE: The Optimal Strategy Hand-rank Table for Jacks or Better, Double Bonus, and Joker Wild Video Poker AUTHOR: John Jungtae Kim (McMaster University, Canada) SUPERVISOR: Dr. Fred M. Hoppe NUMBER OF PAGES: viii, 76 i Abstract Video poker is a casino game based on five-card draw poker played on a computerized console. Video poker allows players an opportunity for some control of the random events that determine whether they win or lose. This means that making the right play can increase a player's return in the long run. For that reason, optimal strategy hand-rank tables for various types of video poker games have been recently published and established to help players improve their return (Ethier, 2010). Ethier posed a number of open problems in his recent book, The Doctrine of Chances: Probabilitistic Aspects of Gambling among which were some in video poker. In this thesis we consider the most popular video poker games: Jacks or Better, Double Bonus, and Joker Wild. Ethier produced an optimal strategy hand-rank table for Jacks or Better. We expand on his method to produce optimal hand-rank tables for Double Bonus,and Joker Wild. The method involves enumerating all possible discards, computing the expected returns, and then finding a way to rank them according to optimal discard based on the payoffs.
    [Show full text]
  • Building a Champion Level Computer Poker Player
    University of Alberta Library Release Form Name of Author: Michael Bradley Johanson Title of Thesis: Robust Strategies and Counter-Strategies: Building a Champion Level Computer Poker Player Degree: Master of Science Year this Degree Granted: 2007 Permission is hereby granted to the University of Alberta Library to reproduce single copies of this thesis and to lend or sell such copies for private, scholarly or scientific research purposes only. The author reserves all other publication and other rights in association with the copyright in the thesis, and except as herein before provided, neither the thesis nor any substantial portion thereof may be printed or otherwise reproduced in any material form whatever without the author’s prior written permission. Michael Bradley Johanson Date: Too much chaos, nothing gets finished. Too much order, nothing gets started. — Hexar’s Corollary University of Alberta ROBUST STRATEGIES AND COUNTER-STRATEGIES: BUILDING A CHAMPION LEVEL COMPUTER POKER PLAYER by Michael Bradley Johanson A thesis submitted to the Faculty of Graduate Studies and Research in partial fulfillment of the requirements for the degree of Master of Science. Department of Computing Science Edmonton, Alberta Fall 2007 University of Alberta Faculty of Graduate Studies and Research The undersigned certify that they have read, and recommend to the Faculty of Graduate Studies and Research for acceptance, a thesis entitled Robust Strategies and Counter-Strategies: Building a Champion Level Computer Poker Player submitted by Michael Bradley Johanson in partial fulfillment of the requirements for the degree of Master of Science. Michael Bowling Supervisor Duane Szafron Michael Carbonaro External Examiner Date: To my family: my parents Brad and Sue Johanson, and my brother, Jeff Johanson.
    [Show full text]
  • Online Poker Statistics Guide a Comprehensive Guide for Online Poker Players
    Online Poker Statistics Guide A comprehensive guide for online poker players This guide was created by a winning poker player on behalf of Poker Copilot. ​ ​ Poker Copilot is a tool that automatically records your opponents' poker statistics, ​ and shows them onscreen in a HUD (head-up display) while you play. Version 2. Updated April, 2017 Table of Contents Online Poker Statistics Guide 5 Chapter 1: VPIP and PFR 5 Chapter 2: Unopened Preflop Raise (UOPFR) 5 Chapter 3: Blind Stealing 5 Chapter 4: 3-betting and 4-betting 6 Chapter 5: Donk Bets 6 Chapter 6: Continuation Bets (cbets) 6 Chapter 7: Check-Raising 7 Chapter 8: Squeeze Bet 7 Chapter 9: Big Blinds Remaining 7 Chapter 10: Float Bets 7 Chapter 1: VPIP and PFR 8 What are VPIP and PFR and how do they affect your game? 8 VPIP: Voluntarily Put In Pot 8 PFR: Preflop Raise 8 The relationship between VPIP and PFR 8 Identifying player types using VPIP/PFR 9 VPIP and PFR for Six-Max vs. Full Ring 10 Chapter 2: Unopened Preflop Raise (UOPFR) 12 What is the Unopened Preflop Raise poker statistic? 12 What is a hand range? 12 What is a good UOPFR for beginners from each position? 12 How to use Equilab hand charts 13 What about the small and big blinds? 16 When can you widen your UOPFR range? 16 Flat calling using UOPFR 16 Flat calling with implied odds 18 Active players to your left reduce your implied odds 19 Chapter 3: Blind Stealing 20 What is a blind steal? 20 Why is the blind-stealing poker statistic important? 20 Choosing a bet size for a blind steal 20 How to respond to a blind steal
    [Show full text]
  • Check/Raise Flush Draws in the Middle
    P G RULES FOR 20PLAYING FLUSH DRAWS IN 2018 You are about to read some of the secrets Ryan Fee and I (Doug Polk) have used to separate us from your average poker player. RYAN FEE DOUG POLK We, like many players, used to aimlessly bet the flop every time we had a flush draw without much of a plan for the turn and river and with little consideration for the impact it had on the rest of our range. (Sound familiar…?) After spending years refining and optimizing our games we have deduced a methodology to playing flush draws that is balanced, sneaky, and let’s us fight for pots where other players aren’t even looking. By following these rules you will make more money in two ways: 1 More often, you will make better hands fold when bluffing, worse hands call when value betting, and put in the minimum when we are behind. 2 Most players are still behind the curve and play most of, if not all of their flush draws the same on the flop. You will make chips by having bluffs and value bets in spots your opponents do not expectP and are not prepared for. G 20 RULES FOR PLAYING FLUSH DRAWS 1 RULE #1 Ask yourself “If my hand wasn’t a flush draw, how would I play it?” Chances are you should play the flush draw the same way. Example: j t 2 If you T 9 on would normally X check t 9 you should also check XX RULE #2 Check the nut flush draw most of the time, except in instances where it is a very strong hand and you are borderline value-betting.
    [Show full text]
  • Doyle Brunson's Super System
    Doyle Brunson's Super System Chapter One - General Poker Strategy • Introduction • Tells • ESP • Superstitions • Honor • Being Competitive • Important Tips • Money Management • Courage and Other Important Qualities • Vacations • Being Versatile • Tournament Play Chapter Two • Hold'em - Limit and No-Limit: Similarities and Differences Chapter Three - No Limit Hold'em • Introduction o Part 1 o Part 2 o Part 3 • Ante and Other Considerations • Big Pairs (AA/KK) • Ace King • Queens • Small Pairs (Jacks down to Deuces) • Small Connecting Cards • Borderline Hands • Trash Hands • Short Handed Play • Insurance • A Final Word Chapter One: General Poker Strategy - Introduction Poker is a game of people. That's the most important lesson you should learn from my book. I'll be teaching you guidelines and concepts you'll be able to use with great success, and you'll quickly become a very good player. But, if your ambition is to become a great player, a top flight Pro, a superstar ... you'll need to really understand your opponents. You'll need to get inside your opponent's head and be able to estimate with a high degree of certainty what his check, bet or raise really means ... and what hand he's likely to be playing. Being able to do that accurately isn't easy. But you can do it if you're alert, observant, disciplined and if you concentrate whenever you play (whether or not you're involved in the pot). Using my advice and the advice of my expert collaborators, you'll find that the "task" of unmasking your Poker faced opponents will become easier and easier.
    [Show full text]
  • Identifying Player's Strategies in No Limit Texas Hold'em Poker Through
    EPIA'2011 ISBN: 978-989-95618-4-7 Identifying Player’s Strategies in No Limit Texas Hold’em Poker through the Analysis of Individual Moves Luís Filipe Teófilo and Luís Paulo Reis Departamento de Engenharia Informática, Faculdade de Engenharia da Universidade do Porto, Portugal Laboratório de Inteligência Artificial e de Ciência de Computadores, Universidade do Porto, Portugal [email protected], [email protected] Abstract. The development of competitive artificial Poker playing agents has proven to be a challenge, because agents must deal with unreliable information and deception which make it essential to model the opponents in order to achieve good results. This paper presents a methodology to develop opponent modeling techniques for Poker agents. The approach is based on applying clustering algorithms to a Poker game database in order to identify player types based on their actions. First, common game moves were identified by clustering all players’ moves. Then, player types were defined by calculating the frequency with which the players perform each type of movement. With the given dataset, 7 different types of players were identified with each one having at least one tactic that characterizes him. The identification of player types may improve the overall performance of Poker agents, because it helps the agents to predict the opponent’s moves, by associating each opponent to a distinct cluster. Keywords: Poker, Clustering, Opponent Modeling, Expectation-maximization 1 Introduction Poker is a game that is became a field of interest for the AI research community on the last decade. This game presents a radically different challenge when compared to other games like chess or checkers.
    [Show full text]