add "the the" to precommit spell check (#4059)

.pre-commit-search-and-replace.yaml

   search: /ML[ -]Agents toolkit/
   replacement: ML-Agents Toolkit
   insensitive: true
+- description: Replace "the the"
+  search: /the the/
+  replacement: the
+  insensitive: true

docs/Installation.md

 order to find it.
 
 **NOTE:** If you do not see the ML-Agents package listed in the Package Manager
-please follow the the [advanced installation instructions](#advanced-local-installation-for-development) below.
+please follow the [advanced installation instructions](#advanced-local-installation-for-development) below.
 
 #### Advanced: Local Installation for Development
 

docs/Migrating.md

   `RayPerception3d.Perceive()` that was causing the `endOffset` to be used
   incorrectly. However this may produce different behavior from previous
   versions if you use a non-zero `startOffset`. To reproduce the old behavior,
-  you should increase the the value of `endOffset` by `startOffset`. You can
+  you should increase the value of `endOffset` by `startOffset`. You can
   verify your raycasts are performing as expected in scene view using the debug
   rays.
 - If you use RayPerception3D, replace it with RayPerceptionSensorComponent3D

docs/Training-on-Amazon-Web-Service.md

 Fatal server error:
 (EE) no screens found(EE)
 (EE)
-Please consult the The X.Org Foundation support
+Please consult the X.Org Foundation support
          at http://wiki.x.org
  for help.
 (EE) Please also check the log file at "/var/log/Xorg.0.log" for additional information.

ml-agents/mlagents/trainers/ghost/trainer.py

                 )
             )
 
-        # Counts the The number of steps of the ghost policies. Snapshot swapping
+        # Counts the number of steps of the ghost policies. Snapshot swapping
         # depends on this counter whereas snapshot saving and team switching depends
         # on the wrapped. This ensures that all teams train for the same number of trainer
         # steps.

ml-agents/mlagents/trainers/sac/trainer.py

         :param training: Whether the trainer is set for training.
         :param load: Whether the model should be loaded.
         :param seed: The seed the model will be initialized with
-        :param run_id: The The identifier of the current run
+        :param run_id: The identifier of the current run
         """
         super().__init__(
             brain_name, trainer_settings, training, run_id, reward_buff_cap