Rename logging module to loggers module in docs

README.md

@@ -59,7 +59,7 @@ within of the library, represented in the API as different modules.
 - **Extensions** - Enhance agent observations with domain-specific knowledge by adding a suitable extension from the 
   *Extensions* module. This module enables seamless agent switching and parameter tuning without extensive reconfiguration.
 
-- **Logging** - This module allows you to monitor agent-environment interactions. Customize and adapt logging to your 
+- **Loggers** - This module allows you to monitor agent-environment interactions. Customize and adapt logging to your 
   specific needs, capturing training metrics, internal agent state, or environment observations. The library includes 
   various loggers for creating plots and output files, simplifying visualization and data processing.
 

docs/source/getting_started.rst

@@ -118,12 +118,12 @@ flag to ``False`` in the ``sample`` method:
     action = rl.sample(*env_state, is_training=False)
 
 
-Logging
+Loggers
 -------
 
-The logging module provides a simple yet powerful API for visualizing and analyzing the running algorithm or watching
+The loggers module provides a simple yet powerful API for visualizing and analyzing the running algorithm or watching
 the training process. You can monitor any observations passed to the agent, the agent's state, and the basic metrics in
-real time. If you want to learn more about the logging module, check out the :ref:`Custom loggers <custom_loggers>`
+real time. If you want to learn more about the loggers module, check out the :ref:`Custom loggers <custom_loggers>`
 section.
 
 Basic logging
@@ -144,7 +144,7 @@ parameter specifies the predefined source of the logger. The source is a name of
 or the metric. `TensorBoard <https://www.tensorflow.org/tensorboard>`_ is a powerful visualization toolkit that
 allows you to monitor the training process in real time, create interactive visualizations, and save the logs for later
 analysis. You can use the ``TensorboardLogger`` along with other loggers built into Reinforced-lib. To learn more about
-available loggers, check out the :ref:`Logging module <logging_page>` section.
+available loggers, check out the :ref:`Loggers module <loggers_page>` section.
 
 .. warning::
 

docs/source/index.rst

@@ -28,7 +28,7 @@ Reinforced-lib facilitates seamless interaction between RL agents and the enviro
 
 * **Extensions** -- Enhance agent observations with domain-specific knowledge by adding a suitable extension from the *Extensions* module. This module enables seamless agent switching and parameter tuning without extensive reconfiguration.
 
-* **Logging** -- This module allows you to monitor agent-environment interactions. Customize and adapt logging to your specific needs, capturing training metrics, internal agent state, or environment observations. The library includes various loggers for creating plots and output files, simplifying visualization and data processing.
+* **Loggers** -- This module allows you to monitor agent-environment interactions. Customize and adapt logging to your specific needs, capturing training metrics, internal agent state, or environment observations. The library includes various loggers for creating plots and output files, simplifying visualization and data processing.
 
 The figure below provides a visual representation of Reinforced-lib and the data-flow between its modules.
 
@@ -67,7 +67,7 @@ API Documentation
 * :ref:`API <api_page>`
 * :ref:`Agents <agents_page>`
 * :ref:`Extensions <extensions_page>`
-* :ref:`Logging <logging_page>`
+* :ref:`Loggers <loggers_page>`
 * :ref:`Utils <utils_page>`
 * :ref:`Exceptions <exceptions_page>`
 
@@ -91,7 +91,7 @@ API Documentation
    API <api>
    Agents <agents>
    Extensions <extensions>
-   Logging <logging>
+   Loggers <loggers>
    Utils <utils>
    Exceptions <exceptions>
 

docs/source/logging.rst → docs/source/loggers.rst

@@ -1,6 +1,6 @@
-.. _logging_page:
+.. _loggers_page:
 
-Logging module
+Loggers module
 ==============
 
 This module is a set of loggers. You can either choose one of our built-in loggers or implement

reinforced_lib/rlib.py

@@ -56,7 +56,7 @@ class RLib:
     ext_params : dict, optional
         Parameters of the selected extension.
     logger_types : type or list[type], optional
-        Types of the selected logging modules. Must inherit from the ``BaseLogger`` class.
+        Types of the selected loggers. Must inherit from the ``BaseLogger`` class.
     logger_sources : Source or list[Source], optional
         Sources to log.
     logger_params : dict, optional
@@ -214,11 +214,11 @@ def set_loggers(
         Parameters
         ----------
         logger_types : type or list[type]
-            Types of the selected logging modules.
+            Types of the selected loggers.
         logger_sources : Source or list[Source], optional
             Sources to log.
         logger_params : dict, optional
-            Parameters of the selected logging modules.
+            Parameters of the selected loggers.
         """
 
         if not self._init_loggers:
@@ -502,7 +502,7 @@ def load(
         ext_params : dict[str, any], optional
             Dictionary of altered extension parameters with their new values, by default None.
         logger_types : type or list[type], optional
-            Types of the selected logging modules. Must inherit from the ``BaseLogger`` class.
+            Types of the selected loggers. Must inherit from the ``BaseLogger`` class.
         logger_sources : Source or list[Source], optional
             Sources to log.
         logger_params : dict, optional