Application of the RLearn Model in Soccer
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This section demonstrates applications of the RLearn Model in soccer.

Q-values and Location Visualization
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The following code snippet shows how to visualize the Q-values for the trained RLearn model.

.. code-block:: python

    from .soccer.main_class_soccer.main import rlearn_model_soccer
    import os
    
    # Set path and experiment name for visualize data
    model_name = 'exp_config'
    checkpoint_path = os.getcwd()+'/rlearn/sports/output/sarsa_attacker/test/checkpoints/epoch=1-step=2.ckpt'

    # Visualize
    RLearn_Model().visualize_data(
        model_name=model_name,
        checkpoint_path=checkpoint_path,
        match_id='2022100106',
        sequence_id=0,
    )

The generated image will show the predicted Q-values based on reinforcement learning.

.. image:: qvalues.png
   :alt: Image of predicted Q-values
   :width: 640px
   :height: 360px
   :align: center

This visualization helps identify potential areas for the next event, making it easier to analyze patterns and trends in soccer gameplay.