University Of Alberta Poker Hand Evaluator
- University Of Alberta Poker Hand Evaluator Jobs
- University Of Alberta Poker Hand Evaluator Test
- University Of Alberta Poker Hand Evaluator Tool
- University Of Alberta Poker Hand Evaluator Training
Ali Eslami is a business strategist and renowned high-stakes poker primarily focused on limit mix-games.
- Welcome to the home page of the University of Alberta Computer Poker Research Group. We are working on creating computer programs that play poker better than any human being, as a testbed for doing good science.
- (May 18, 2009) Wolve and MoHex win gold and silver at the 13th Computer Games Olympiad in Beijing ahead of three-time gold medallist Six. (October 5, 2008) Mike Smith won the gold medal of Computer Billiards tournament again in the 11th Computer Olympiad, held in Turin, Italy.
Eslami is one of the first two people to win the Man-Machine Poker Competition.[1] He represented the United States on the U.S. Poker team in the IFP's Nation's Cup inaugural event.
Hand rank is de ned as the percentage of other combinations of two hole cards that a player’s current two hole cards will beat in hand strength. Hand rank does not take into account future ex-pectations. Since poker hand rankings are lin-ear, a higher hand rank strictly implies the hand will win versus another hand of lower hand rank. 3.2 Poker Hand Rank Evaluation Hand rank evaluation consists in checking if a given Poker hand is better than another. Usually, the Hand Rank Evaluator takes a poker hand and maps it to a unique integer rank such that any hand of equal rank is a tie, and any hand of higher rank wins. For a poker AI, it is absolutely critical to have the fastest.
Since Eslami's appearance at the Legends of Poker WPT Season 2 in 2003, he has gone on to pocket over $200,000 with over 14 cash showings in tournament play. Eslami is primarily a cash game player, however, playing chiefly in high-limit poker games in Los Angeles.
In June 2007, Ali Eslami took 5th in the 2007 World Series of Poker, $2,500 H.O.R.S.E event.
Following his showing in the 2007 WSOP event, Eslami appeared alongside fellow professional poker player Phil Laak in July 2007 to participate in a competition against Polaris, the University of Alberta poker bot. The matches consisted of 500 hands with four matches total and 16 hours of cumulative play, in Texas Hold'Em poker. Eslami and Laak split the $10,000 prize for defeating the bot in two of the four matches and an additional $2,500 for drawing in a third.
In November 2011 Eslami represented the United States as part of the U.S. Poker Team in the International Federation of Poker's Poker Nation's Cup, held in London, England.
References[edit]
- ^'Ali Eslami, the One Who Beat Machine in Poker'. Retrieved May 30, 2011.
Sources[edit]
- Dan Glaister. 'Chips are down as man beats poker machine', The Guardian, Friday July 27, 2007.
- 'Polaris drawing professionals to a stand-still', University of Alberta: Express News, July 20, 2007.
- Ryan Smith. 'U of A researchers win computer poker title', University of Alberta: Express News, August 9, 2006.
- R. Colin Johnson. 'Humans deal computer a loss in poker challenge', EETimes, July 26, 2007.
- Martin Harris. 'The First 'Man-Machine Poker Championship' Begins Tomorrow', Poker News, July 22, 2007.
- David Staples. 'Poker pros out of luck in battle with 'bot', The Edmonton Journal, June 11, 2007, p. A2.
- Chris Ayres. 'How to beat a computer: lies, bluffing and taking risks are all on the cards', The Times Online, July 27, 2007.
- 'Ali Eslami - Professional Poker Player Profile' PokerPages.Com
- Official 2007 World Series of Poker results and schedule' WorldSeriesOfPoker.Com
- '[1]' IFP’s Nations’ Cup Draws Top Players, Strong Teams For Inaugural Competition
This project provides a custom implementation of a Texas Hold 'em handevaluation subsystem as described in chapter 5 of the original Loki Poker Bot research paper. For preflop play, fixed relative strength values are provided based upon simplified monte carlo simulations where all players call to the end of the hand. For postflop play, calculations are provided to determine immediate handstrength and future handpotential via complete scenario enumeration (given the opponent hand probability distributions as input).
From this handevaluation system, betting strategies can be derived and opponent models can be added to provide more realistic and adaptive hand probability distributions. The university of Alberta Computer Poker Research Group has performed extensive research on both fronts and has succesfully used Poker as a testbed for AI and reinforcement learning techniques.
Poker Hands and Hand Comparison
View the src/poker/handranking package. A Card object is defined and given a natural ordering. A Hand represents a set of cards that are known to one particular Player (and can include 2, 5, 6 or 7 cards for the game of Texas Hold 'em). The natural ordering between hands are dependent on the handValue and a distinction must be made between a StartingHand and a RankableHand to dermine the value of this field.
Starting Hand
A StartingHand consists of two cards representing the hole cards of a Player before any of the community cards have been dealt. Handvalues of starting hands are represented by Income Rates which are calculated based upon simplified monte carlo simulations where all players are given certain amounts of starting capital and subsequently call to the end of the hand. No deposit bonus codes for sloto cash casino 2018. The simulations have been performed for a different number of active opponents and the obtained values have been hardcoded in src/poker/handranking/util/HandRanker.java. (Given the scope of this project, complete preflop to river scenario enumeration is computationally untractable. However, the current simplification provides a good baseline and allows for relative strength comparisons between different startinghands).
Rankable Hand
In the game of Texas Hold 'em, a RankableHand consists of 5-7 cards representing a combination of two Player hole cards and 3-5 community cards. Rankable hands are comparable from an endgame perspective and their respective handvalues correspond to the strongest available 5-card subset. The 5-card ranking functionality and its corresponding value calculations are implemented by the HandRanker.
HandRanker
For preflop play, the src/poker/poker/handrinking/util/HandRanker.javaDoes xtreme slots pay real money online. provides hardcoded Income Rates (IR) for the 169 possible distinct starting hand combinations (depending on the number of active opponents: 1, 2-3 or 4+). For postflop play, the HandRanker detects the type of poker hand that corresponds to particular 5-card combinations. The complete handsprectrum -including kickers- is taken into account and return values are calculated in such a way that stronger card combinations correspond to higher return values.
Hand Evaluation - Handstrength and Potential
A poker player should take both his current handstrength and future handpotential into account when making strategic betting decisions. Current handstrength can be defined as the expected chance of being currently ahead while positive (negative) handpotential corresponds to the expected chance of improving (regressing) from the losing (winning) hand to the winning (losing) hand. Note that the handpotential metrics are related to the implied and reverse implied odds poker concepts. An implementation of these metrics is provided in src/poker/handranking/util/Player.java: View the calculateHandStatistics method.
Handstrength
In order to calculate the handstrength against a single opponent, the expected starting hand probability distribution for this opponent must be provided. Given this opponent model, the handstrength calculator enumerates the opponent hole card combinations and calculates the players' chances of being ahead on the current board. For multi-opponent play a (relatively accurate) simplification is made by using an exponentiation to the number of active opponents. Additionally, in the Loki paper, suggestions are made on how to combine multiple opponent models / probability distributions into one consistent field array.
Handpotential
University Of Alberta Poker Hand Evaluator Jobs
To determine positive and negative handpotential, one-step ahead (flop to turn, or turn to river) or two-step ahead (flop to river) enumerations of all possible outcomes are simulated. To accomplish this, a transitionmatrix is utilzed to log both the current state (win/loss/tie) for every possible opponent starting hand and the respective end state (win/loss/tie) for the corresponding one -or two step ahead simulations. Given this transitionmatrix and the opponent starting hand probabilities the expected future handpotentials can subsequently be determined.
HandFactory
The handfactory provides cashing of Rankable Hands and avoids excessive instantiation overhead (and corresponding handvalue function calls) for permutated hands that are basically identical from a hand valuation point of view. This is accomplished by using hashes based off the cards and results in a sgnificant speedup for the two-step ahead calculations.
Effective hand strength versus (effective) pot odds.
University Of Alberta Poker Hand Evaluator Test
The practical usefulness of the previous concepts emerges when they are combined into the following equation:
- EHS = HS + (1-HS) x positive hanpotential - HS x negative handpotential
This value can potentially be compared against other measures such as pot odds and effective odds in order to determine expected values (EV) of betting decisions.
Example
View poker/Pokergame.java and optionally uncomment line 262. Consider the following scenario.
- Starting hand: A_hearts + Q_hearts
- Flop: 3_hearts + 4_spades + J_hearts
- Assume uniform probability distributions for the opponents. (Note that a more realistic opponent model can potentially be obtained when using a probability distribution based on the normalized income rate (IR) values)
One-step ahead simulation output:
University Of Alberta Poker Hand Evaluator Tool
- Handstrength 1 opponent: 0.5851063829787234
- HandStrength 5 opponents: 0.06857632055948792
- Positive Potential: 0.30112721417069244
- Negative Potential: 0.0993939393939394
University Of Alberta Poker Hand Evaluator Training
Two-step ahead simulation output:
- Handstrength 1 opponent: 0.5851063829787234
- HandStrength 5 opponents: 0.06857632055948792
- Positive Potential: 0.5050257311126877
- Negative Potential: 0.1433984109873438
This example indicates that the player has a 58 percent chance of being ahead on the current board in the one opponent scenario, but he is almost certain to be behind when there are five other players in the game. The player also has a very high chance of improving his hand and obtaining the strongest hand in the scenario that he is behind on the current board. On the other hand, his chances of losing the showdown when he is currently already ahead are quite low (about 14.3 percent from flop to river). Calculating the EHS gives the player an expected showdown win rate of 87.8 percent and 54.9 percent in the 1 opponent and 5 opponent scenarios respectively.
Licensing
This software is copyrighted by EssentialQuant ltd and is available for redistribution under the MIT license. View license.md for additional details.