(v2.2.6) DRL_battery.py configuration improvement with JSON configuration mode

docs/source/_templates/shields.html

@@ -1,4 +1,3 @@
-</p>
 <p align="center">
     <a href="https://github.com/ugr-sail/sinergym/releases">
         <img alt="Github latest release" src="https://img.shields.io/github/release-date/ugr-sail/sinergym" />

docs/source/pages/deep-reinforcement-learning.rst

@@ -160,7 +160,7 @@ How use
 You can try your own experiments and benefit from this functionality. 
 `sinergym/scripts/DRL_battery.py <https://github.com/ugr-sail/sinergym/blob/main/scripts/DRL_battery.py>`__
 is a example code to use it. You can use ``DRL_battery.py`` directly from 
-your local computer specifying ``--tensorboard`` flag in execution.
+your local computer or using Google Cloud Platform.
 
 The most **important information** you must keep in mind when you try 
 your own experiments are:
@@ -179,13 +179,27 @@ your own experiments are:
   specify train ``timesteps``, ``callbacks`` and ``log_interval`` 
   as we commented in type algorithms (On and Off Policy).
 
-* ``DRL_battery.py`` requires some **extra arguments** to being 
-  executed like ``-env`` and ``-ep``.
-
 * You can execute **Curriculum Learning**, you only have to 
-  add ``--model`` field with a valid model path, this script 
+  add model field with a valid model path, this script 
   will load the model and execute to train.
 
+``DRL_battery.py`` has a unique parameter to be able to execute it; ``-conf``.
+This parameter is a str to indicate the JSON file in which there are allocated
+all information about the experiment you want to execute. You can see the
+JSON structure example in `sinergym/scripts/DRL_battery_example.json <https://github.com/ugr-sail/sinergym/blob/main/scripts/DRL_battery_example.json>`__:
+
+* The **obligatory** parameters are: environment, episodes, 
+  algorithm (and parameters of the algorithm which don't have 
+  default values).
+
+* The **optional** parameters are: All environment parameters (if it is specified 
+  will be overwrite the default environment value) seed, model to load (before training),
+  experiment ID, wrappers to use (respecting the order), training evaluation,
+  tensorboard functionality and cloud options.
+
+* The name of the fields must be like in example mentioned. Otherwise, the experiment
+  will return an error.
+
 ****************
 Mlflow
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requirements.txt

@@ -1,7 +1,7 @@
 autopep8
 eppy
 gymnasium
-isort[requirements_deprecated_finder,pipfile_deprecated_finder]
+isort
 numpy
 opyplus
 pandas