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Add results for 4.13.1
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drvinceknight committed Oct 30, 2024
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182 changes: 173 additions & 9 deletions README.rst
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|Join the chat at https://gitter.im/Axelrod-Python/Axelrod|

This repository hold results for tournaments made possible by the
`Axelrod-Project <https://github.com/Axelrod-Python/Axelrod>`_ python library.

Tournament result
=================

Standard tournament
-------------------

Ranked violin plot
******************

The mean utility of each player.

.. figure:: ../../assets/strategies_std_boxplot.svg

Payoffs
*******

The pair wise utilities of each player.

.. figure:: ../../assets/strategies_std_payoff.svg

Evolutionary dynamics
*********************

The evolutionary dynamic of the strategies (based on the utilities).

.. figure:: ../../assets/strategies_std_reproduce.svg

Wins
****

The number of wins of each player.

.. figure:: ../../assets/strategies_std_winplot.svg

Payoff differences
******************

The payoff differences for each player.

.. figure:: ../../assets/strategies_std_sdvplot.svg

Pairwise payoff differences
***************************

The difference of payoffs between pairs of players.

.. figure:: ../../assets/strategies_std_pdplot.svg

Payoff Matrix
*************

Here is a :download:`file with the payoff matrix<../../assets/strategies_std_payoff_matrix.csv>`.

Summary
*******

Here is a :download:`file with the summary data <../../assets/std_summary.csv>`.


Noisy tournament
----------------

Ranked violin plot
******************

The mean utility of each player.

.. figure:: ../../assets/strategies_noisy_boxplot.svg

Payoffs
*******

The pair wise utilities of each player.

.. figure:: ../../assets/strategies_noisy_payoff.svg

Evolutionary dynamics
*********************

The evolutionary dynamic of the strategies (based on the utilities).

.. figure:: ../../assets/strategies_noisy_reproduce.svg

Wins
****

The number of wins of each player.

.. figure:: ../../assets/strategies_noisy_winplot.svg

Payoff differences
******************

The payoff differences for each player.

.. figure:: ../../assets/strategies_noisy_sdvplot.svg

Pairwise payoff differences
***************************

The difference of payoffs between pairs of players.

.. figure:: ../../assets/strategies_noisy_pdplot.svg

Payoff Matrix
*************

Here is a :download:`file with the payoff matrix<../../assets/strategies_noisy_payoff_matrix.csv>`.

Summary
*******

Here is a :download:`file with the summary data <../../assets/noisy_summary.csv>`.

Probabilistic ending tournament
-------------------------------

Ranked violin plot
******************

The mean utility of each player.

.. figure:: ../../assets/strategies_probend_boxplot.svg

Payoffs
*******

The pair wise utilities of each player.

.. figure:: ../../assets/strategies_probend_payoff.svg

Evolutionary dynamics
*********************

The evolutionary dynamic of the strategies (based on the utilities).

.. figure:: ../../assets/strategies_probend_reproduce.svg

Wins
****

The number of wins of each player.

.. figure:: ../../assets/strategies_probend_winplot.svg

Payoff differences
******************

The payoff differences for each player.

.. figure:: ../../assets/strategies_probend_sdvplot.svg

Pairwise payoff differences
***************************

The difference of payoffs between pairs of players.

.. figure:: ../../assets/strategies_probend_pdplot.svg

Payoff Matrix
*************

Here is a :download:`file with the payoff matrix<../../assets/strategies_probend_payoff_matrix.csv>`.

Summary
*******

Here is a :download:`file with the summary data <../../assets/probend_summary.csv>`.

Reproducing these results:
==========================

Expand All @@ -27,20 +194,17 @@ latest version of the library like so::

$ virtualenv env
$ source env/bin/activate
$ pip install git+https://github.com/Axelrod-Python/Axelrod@master
$ python -m pip install git+https://github.com/Axelrod-Python/Axelrod@master

If you have the Axelrod repository locally you can also run::

$ pip install path_to_axelrod
$ python -m pip install path_to_axelrod

If you have already installed :code:`axelrod` you can add the `-U` tag to update
to the latest version of master::

$ pip install git+https://github.com/Axelrod-Python/Axelrod@master -U
$ python -m pip install git+https://github.com/Axelrod-Python/Axelrod@master -U

or::

$ pip install path_to_axelrod -U

.. |Join the chat at https://gitter.im/Axelrod-Python/Axelrod| image:: https://badges.gitter.im/Join%20Chat.svg
:target: https://gitter.im/Axelrod-Python/Axelrod?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge
$ python -m pip install path_to_axelrod -U
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