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Artur „mararthur1“ Martirossjan (russisch Артур Мартиросян; englische Transkription
Artur Martirosyan; auch Artur Martirosian; * 5. Juli 1997 in Woronesch)[1] ist ein
professioneller russischer Pokerspieler.
Martirossjan hat sich mit Poker bei
Live-Turnieren mehr als 12,5 Millionen US-Dollar erspielt und ist damit der
zweiterfolgreichste russische Pokerspieler. Er ist zweifacher Braceletgewinner der
World Series of Poker und gewann im Jahr 2024 das Main Event der European Poker Tour,
ein Turnier der Super High Roller Series Europe sowie das Main Event der Eurasian Poker
Tour. Darüber hinaus zählt er zu den erfolgreichsten Onlinespielern.
Martirossjan
spielte als Kind Schach und hatte in der Schule ein Interesse an Mathematik. Nach
seinem Abschluss begann er ein Studium der Wirtschaftswissenschaften an der Staatlichen
Universität Woronesch, führte dieses aber nicht zu Ende.[1]
Martirossjan spielt seit
Juli 2014 Onlinepoker.[2] Auf der Plattform PokerStars verwendet er den Nickname
mararthur1, bei GGPoker sowie partypoker nutzt er seinen echten Namen.[3] In seinen
Anfängen wurde der PokerStars-Account des Russen gehackt und sein Guthaben geklaut. Als
er sich an den Support wandte und dieser Dokumente zur Verifizierung anforderte, fiel
auf, dass Martirossjan noch minderjährig war und sein Account wurde für sechs Monate
gesperrt.[1]
Der Russe entschied bereits zahlreiche hochdotierte Turniere für sich,[4]
so gewann er u. a. im Mai 2024 innerhalb weniger Tage zwei Events der Variante No Limit
Hold’em der Spring Championship of Online Poker auf PokerStars, wofür er knapp 430.000
US-Dollar erhielt.[5] Auf partypoker erzielte er im April 2024 neun Geldplatzierungen
bei den Poker Masters Online. Dadurch sicherte sich Martirossjan Preisgelder von knapp
1,3 Millionen US-Dollar und belegte den zweiten Platz im Rennen um das Purple
Jacket.[6] Ebenfalls neunmal kam er bei der von Juli bis September 2024 auf GGPoker
ausgespielten World Series of Poker Online (WSOPO) auf die bezahlten Plätze. Nach acht
Geldplatzierungen bei der WSOPO 2024 sowie sechs Geldplatzierungen bei der WSOPO 2024
gewann der Russe bei der WSOPO 2024 die Heads-Up Championship, wofür er mit rund
425.000 US-Dollar sowie einem Bracelet prämiert wurde.[7]
Seine kumulierten
Turnierpreisgelder liegen auf PokerStars bei über 4,5 Millionen US-Dollar. Bei GGPoker
erspielte sich Martirossjan bislang knapp 21,5 Millionen US-Dollar. Insgesamt liegen
seine Online-Gewinne bei fast 27 Millionen US-Dollar, was ihn nach Niklas Åstedt und
Simon Mattsson zum dritterfolgreichsten Onlineturnierspieler macht.[2]
Seine erste
Geldplatzierung bei einem Live-Turnier erzielte Martirossjan im Oktober 2024 in
Sotschi.[8] Ende März 2024 kam der Russe erstmals beim Main Event der European Poker
Tour (EPT) in die Geldränge und belegte in Sotschi den mit umgerechnet knapp 15.000
US-Dollar dotierten 25. Platz.[9] Darüber hinaus kam er Ende August 2024 in Barcelona
sowie 2024 zweimal in Sotschi, einmal in Monte-Carlo und erneut in Barcelona ebenfalls
auf die bezahlten Plätze des EPT-Main-Events.[8] Im März 2024 spielte Martirossjan bei
der partypoker Live Millions Super High Roller Series in Sotschi. Dort erreichte er
zwei Finaltische, die ihm Preisgelder von 582.000 US-Dollar einbrachten.[10][11] Ende
März 2024 setzte sich der Russe beim Main Event der EPT Sochi durch und sicherte sich
eine Siegprämie von umgerechnet knapp 330.000 US-Dollar.[12] Bei der Super High Roller
Series Europe im nordzyprischen Kyrenia entschied er im August 2024 das sechste Turnier
für sich und erhielt den Hauptpreis von 1,4 Millionen US-Dollar.[13] Im November 2024
gewann Martirossjan in Sotschi auch das Main Event der Eurasian Poker Tour, das mit
umgerechnet rund 100.000 US-Dollar dotiert war.[14] Bei der EPT Barcelona siegte er
Mitte August 2024 bei einem High Roller und erhielt rund 540.000 Euro.[15] Beim
PokerStars Caribbean Adventure auf den Bahamas belegte der Russe im Januar 2024 den mit
knapp 680.000 US-Dollar dotierten dritten Platz im Main Event[16] und wurde wenige Tage
später Fünfter beim PSPC Super High Roller, was ihm weitere 854.800 US-Dollar
einbrachte.[17] Anfang Mai 2024 erreichte er bei der EPT Monte-Carlo drei Finaltische
sowie den 14. Platz beim Main Event. Insbesondere aufgrund eines Sieges bei einem
25.000 Euro teuren Side-Event sicherte sich Martirossjan Preisgelder von über 700.000
Euro.[18][19][20][21] Im Juni 2024 erzielte er seine ersten drei Geldplatzierungen bei
der Hauptturnierserie der World Series of Poker im Horseshoe Las Vegas und Paris Las
Vegas, was ihm aufgrund von Schwierigkeiten mit seinem Visum zuvor nicht möglich
war.[1] Dort wurde der Russe u. a. beim Super High Roller Zweiter und erhielt sein
bislang höchstes Preisgeld von knapp 3,3 Millionen US-Dollar.[22] Mitte Dezember 2024
gewann er das Flip & Go der erstmals ausgetragenen World Series of Poker Paradise auf
den Bahamas und erhielt rund 110.000 US-Dollar sowie sein zweites Bracelet.[23]
Mit
erspielten Preisgeldern von über 12,5 Millionen US-Dollar ist Martirossjan nach Igor
Kurganow der zweiterfolgreichste russische Pokerspieler.[24]
Die Darstellung von
Grafiken ist aktuell auf Grund eines Sicherheitsproblems deaktiviert. Summe der seit
2024 von Artur Martirossjan erspielten Turnierpreisgelder
Jahr Preisgeld (inR$)
Turniersiege 2024 835 0 2024 41.278 0 2024 86.313 0 2024 620.994 0 2024 2.097.102 4
2024 1.772.824 3 2024 7.968.481 2 gesamt 12.587.827 9
Martirossjan kam bei der WSOP
39-mal ins Geld und gewann zwei Bracelets:[7]
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DeeperMind pokerbot for pokerstars, partypoker and GGPoker
This pokerbot plays
automatically on Pokerstars, Partypoker and GG Poker. Any other table can be mapped as
well. It works with image recognition, montecarlo simulation and a basic genetic
algorithm. The mouse is moved automatically and the bot can potentially play for hours
based on a large number of parameters.
You can download the binaries and run the
executable directly from here: http://deepermind-pokerbot
Running the bot:
Use Fast
Forward Tables
Select Official PartyPoker table scraper
Use Zoom Tables
Select Official
Poker Stars table scraper
For Pokerstars you will need to make some adjustments to the
client. It needs to look exactly as the below, in order to run it with the Official
Pokerstars Table scraper:
Make sure to match the card styles (4 color), covered card
styles, and table styles.
Make sure your GGPoker setup looks as follows when using it
with the Official GGPoker Table:
General setup:
If you just want to run the bot, please
do the following:
Install the binearies of the bot from here:
http://deepermind-pokerbot
You can then immediately run the bot. It will analyze the
poker client, move the mouse and play in accordance with one of its pre-programmed
strategies. Most of the strategies are based on zoom or Fast Forward tables. You are
welcome to edit and imporve any strategies to optmize the play of the bot for your
needs.
In most cases it may be useful to put the poker client inside a virtual machine
to avoid it from interfering with the bot. Also, the bot will then be able to control
the mouse inside the virtual machine, without blocking the whole computer:
Download
Virtualbox: //virtualbox/
Download Windows 10 Iso File for example from here
//softlay/apps/operating-system
Create a new virtual box environment and use the
ISO file as a startup
Make sure to give the Virtualbox only 1 CPU as the computing
power is needed for the bot (mainly for OCR)
Install Partypoker or Pokerstars in the
virtual box environment
Install the pokerbot directly onto your computer (outside of
the virtual box)
In the Setup select your virtual box instance (instead of direct mouse
control)
Join the discord chat by pressing the chat button or joining this link:
//discord.gg/xB9sR3Q7r3
The current version Only works on windows
Do not obstruct
the view of the table as the bot is based on image recognition
Only one table window
should be visible.
For best performance minimize all windows in the vm, except the
table window itself
Don't use any dpi scaling in the virtualbox
In setup, try to select
your virtual machine instead of direct mouse control. That way mouse movements won't
obstruct you.
Strategy Analyzer
You can see the profitability of each strategy in the
strategy analyzer.
The bar chart indicates what action types have led to wins or losses
at each stage (preflop, flop turn and river)
Looking at the stacked bar chart in more
detail, gives you clues how to adjust the strategy to maximize your wins:
Analyze
individual rounds within each stage:
Analyze individual hands:
Strategy editor
A
variety of factors are taken into consideration when the bot makes decisions and they
can be adjusted in the strategy editor:
Equity (winning probability), which is
calculated by a montecarlo simulation
Equity and minimum call/bet value need to be on
the left of the corresponding curve in order for the bot not to fold
Various other
factors, such as behaviour in the previous rounds are taken into consideration. Check
out the strategy editor for more details.
Hover over each item to see a more detailed
description
A variety of other options can be edited for each strategy:
Advice how to
improve strategies:
You will generally require at least 2000 hands played with a
strategy to draw any conclusions. Even better 5000 hands. Anything less than 1000 hands
is completely random.
Best buy in more than the minimum, this will improve the bots
performance as it has more leeway to play. For example on a 0.01/0.02 table, buy in
more than the minimum ofR$2. Ideally start withR$4 or even more.
Look at the strategy
analyzer and work your way backwards. First improve the River play, then once this is
good move on to the Turn, then to the Flop etc. This is because the game is path
dependent.
If you make changes in the ranges, you may need to adapt all minimum
equities as it changes the equity calculation.
Good Luck!
Full version:
The full
version allows you to:
Edit and create new Strategies
View all Strategies of all
users
To purchase, please follow this link. You'll then receive a password within 24
hours. http://deepermind-pokerbot/purchase
Alternatively you can contact me via email
or discord and request a password directly and pay bitcoin to:
1Py5o4WLYMizXc8pFPqzD4yeCAm53BhJit
You can also get a free subscription if you make
some meaningful contribution to the codebase.
The easiest way to contribute is
by:
Adding new tables
Adding new strategies
Directly add fixes to the code and create a
pull request
Mapping new tables
The bot can learn to read new tables, either by using
templates or by training a neural network that uses data augmentation based on the
given templates.
Click this link to see a Video description how to add a new table or
watch the video on deepermind-pokerbot
The setup to add new tables looks like
this:
Open the pokerbot and click on table setup to open the window that helps you
create new tables.
Open the poker client next to it, make sure it's not dpi scaled, so
the pokerbot can take screenshots.
Start with creating a new template, you can do this
by entering a name for your template, for example Pokerstars 1-2 zoom poker. Click on
'Blank new'.
Now the first think you want to do is to take a screenshot of the
pokerstars window with the table. You can do this by pressing on the Take screenshot
button. You should not see in the lower window a full screenshot of what is on your
screen.
The first step is now to mark the top left corner of the poker tables window,
which will be the point of reference for everything else that will follow. To mark the
top left corner, you need to mark it by first clicking on the top left part of it and
then on the right lower part of it. once you have done this, it will appear in the
second window. You can save it by clicking on the "save newly selected top left corner"
button.
Now you can crop it by pressing on the crop from top left corner button. This
will discard most of the screenshot and only keep the screenshot from the top left
corner and everything a few hundred pixels to the right of it and below.
Next you will
want to mark everything else in the window. Start with the Buttons search area. You can
do this again by clicking on the top left area of the buttons and then on the bottom
right area of where the buttons appear. Once you are happy with the selection, click on
the "Buttons search area".
If you hover over the buttons, you will get a more detailed
description of what you need to pay attention to.
Note that you will need to take many
screenshots, crop them (don't select the top left corner again, as this you should only
do once), instead load it and then crop the image. After that make your selection of
the different 
and save them by pressing on the corresponding button. You'll need
to teach it every card and every button etc.
Notes to keep in mind:
IT IS NOT
RECOMMENDED TO CONDUCT TESTS WITH REAL ACCOUNTS UNTIL YOU VERIFY THE CORRECT
FUNCTIONING OF THE BOT (ALSO TO AVOID LOSS OF ACCOUNTS AND CAPITAL)
Minimum system
requirements to run the bot:
Windows 10 x64 or later (It may work in previous versions
but its correct operation has not been verified)
RAM memory 4 GB or more
hard drive
space 1.6 GB (as always the more the better)
Micro processor with 4 cores and 4 threads
or higher
GPU is not necessary (neural training gives the option to do it on
GPU)
screen resolution 1920*1800 (it can work with less but its correct operation has
not been verified)
consider the consumption of Virtual box if used and add them to the
system explained above
Poker apps usually run on W7 or higher
VirtualBox version 7.0.12
or higher with its respective expansion pack
Running via docker
$ git clone
//github/dickreuter/Poker.git
$ cd Poker
$ docker compose up -d
$ xhost
local:root # This permits the root user on the local machine to connect to X windows
display
$ docker-compose exec app python3 main.py # once the container is running you
can launch the bot with this command
Running via python source code
Download pycharm
communite edition as an IDE from here:
//jetbrains/pycharm/download/#section=windows
Install anaconda
//anaconda/products/distribution
Create an environment with pip install -r
requirements.txt and separately run pip install tesserocr
and separately run pip
install tesserocr You also may need to get c++ runtime distributable:
//visualstudio.microsoft/downloads/
Install virtualbox from
//virtualbox/wiki/Downloads and put the poker client into the virtual box. That
way it can be controlled without having to use the mouse in your main window.
Run
main.py from pycharm after setting up the above created virtual environment as
interpreter (check youtube)
Packages and modules:
main.py: entry point
Contains user
interface and routines that help map new tables
recognize_table : Functions to
recognize the different items on the table, based on the created mapping
: Functions to
recognize the different items on the table, based on the created mapping
screen_operations : Various routines, such as taking screen shots, cropping etc
:
Various routines, such as taking screen shots, cropping etc table_setup : Routines in
relation to the gui
: Routines in relation to the gui ui_table_setup : QT user
interface. Corresponding py file is created with makegui.bat in the parent folder. To
edit the gui download QT Designer and open the .ui file.
decisionmaker.py : The
ultimate decision what action should be taken based on the input
: The ultimate
decision what action should be taken based on the input montecarlo_numpy2.py : fast
numpy based montecarlo simulation to calculate equity. Not yet working correctly. Some
tests are failing. Feel free to fix them.
: fast numpy based montecarlo simulation to
calculate equity. Not yet working correctly. Some tests are failing. Feel free to fix
them. montecarlo_python.py : relatively slow python based montecarlo for equity
calculation. Supports preflop ranges for other players.
test_montecarlo_numpy.py :
tests for the numpy montecarlo
: tests for the numpy montecarlo test_pylint.py : pylint
and pydoc tests to ensure pep8 standards and static code analysis
Graphical user
interface (gui)
Download QT for open source project:
//qt.io/download-open-source
Use the qt designer to edit any of the .ui files in
gui/ui
Next Priorities
[ ] Update tests. Some are currently outdated. More tests are
needed
[ ] Add more strategies
[ ] Switch from using pytesseract to tesserocr to speed
up OCR, this should considerably speed up the bot
[ ] Better Analyze the collected data
to improve strategies
Making fixes in the code
Fixing code and making a pull request
back into the origin/master:
It will be hard for one person alone to beat the world at
poker. That's why this repo aims to have a collaborative environment, where models can
be added and evaluated.
To contribute do the following:
Get Pycharm and build the
virtual python environment. Use can do: pip install -r requirements.txt (see
above)
(see above) Clone your fork to your local machine. You can do this directly from
pycharm: VCS --> check out from version control --> git
Add as remote the original
repository where you created the fork from and call it upstream (the connection to your
fork should be called origin). This can be done with vcs --> git --> remotes
Create a
new branch: click on master at the bottom right, and then click on 'new branch'
Make
your edits.
Ensure all tests pass. Under file --> settings --> python integrated tools
switch to pytest. You can then just right click on the tests folder and run all tests.
All tests need to pass. Make sure to add your own tests by simply naming the funtion
test_...
Make sure all the tests are passing. Best run pytest as described above (in
pycharm just right click on the tests folder and run it). If a test fails, you can
debug the test, by right clicking on it and put breakpoints, or even open a console at
the breakpoint:
//stackoverflow/questions/19329601/interactive-shell-debugging-with-pycharm
Commi
t your changes (CTRL+K}
Push your changes to your origin (your fork) (CTRL+SHIFT+K)
To
bring your branch up to date with upstream master, if it has moved on: rebase onto
upstream master: click on your branch name at the bottom right of pycharm, then click
on upstream/master, then rebase onto. You may need to resolve soe conflicts. Once this
is done, make sure to always force-push (ctrl+shift+k), (not just push). This can be
done by selecting the dropdown next to push and choose force-push (important: don't
push and merge a rebased branch with your remote)
Create a pull request on your github
to merge your branch with the upstream master.
When your pull request is approved, it
will be merged into the upstream/master.
Please make sure that all tests are passing,
including the pylint test. You can either run them locally on your machine, or when you
push check the travis log on github. [currently many are failing, feel free to help
fixing them!]
FAQ
No top left corner
Make sure everything looks exactly like in the
picture at the top of this documentation. The buttons need to look exactly like this
and it needs to be in English and not scaled. Colours need to be standard. Most tables
are mapped to real money. They won't work with play money. The poker table window has
to be fully visible and cannot be scaled, otherwise it won't be detected properly. In
Partypoker, when you open the table, choose table options and then choose back to
default size to make sure the table is in default size.
Tables are mapped for fast
forward and zoom games with real money. Use the Supersonic3 table for Partypoker or
McNaught table in Pokerstars.
If things still don't work, consider teaching it a new
table as described above.
Cards not recognized
Make sure everything looks exactly like
in the picture at the top of this documentation. Make sure to use real money. Tables
are different for play money. Ensure you are seated at the position as shown in the
picture above. Currently the bot only works for tables with 6 players.
Do I need to use
a virtual machine?
For Pokerstars you definitely do, otherwise you will be blocked and
your account will be frozen within minutes. For Partypoker I'm not sure. But best check
the terms and conditions.
Analyzing the log and reporting problems
In the folder where
you installed the pokerbot, there is a subfolder with the log files in /log. There are
also screenshots in /log/screenshots that may be able to help debug the problem.
Create
a issue on the link at the top of this github page
//github/dickreuter/Poker/issues or email dickreuter@gmail.
Related
projects
Training the bot by playing against itself is a separate project which can be
found here: //github/dickreuter/neuron_poker
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