Update the mimic teleop doc to link to the locomotion policy training

Author: huihuaNvidia2023

docs/source/overview/imitation-learning/teleop_imitation.rst

@@ -566,6 +566,15 @@ The robot picks up an object at the initial location (point A) and places it at
    :alt: G1 humanoid robot with locomanipulation performing a pick and place task
    :figclass: align-center
 
+.. note::
+   **Locomotion policy training**
+
+   The locomotion policy used in this demo was trained using the `AGILE <https://github.com/nvidia-isaac/WBC-AGILE>`__ framework.
+   AGILE is an officially supported humanoid control training pipeline that will also be seamlessly integrated with other evaluation
+   and deployment tools across Isaac products. This allows teams to rely on a single, maintained stack covering all necessary infrastructure
+   and tooling for policy training, with easy export to real-world deployment. The AGILE repository contains updated pre-trained policies
+   that have been verified in the real world and can be directly deployed. Users can also train their own locomotion policies using the AGILE framework.
+
 Generate the manipulation dataset
 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^