update changes for IL README

baselines/imitation_learning_tree_obs/README.md

@@ -70,12 +70,12 @@ We follow the below steps to generate our list of expert demonstration
 * Now run the `saving_experiences.py` to generate the expert demonstrations in rllib format (`*.json`)
 * Copy the generated experiences to the location `\tmp\flatland-out`
 
-For the training process refer to the [training](#training) section.
-
 #### Run Model with Expert Demonstrations
 
 The **custom_loss_model** model file contains the code basis for all concepts needed for Imitation Loss implementation.
 
+For the training process refer to the [training](#training) section.
+
 ### 📈 Results
 
 Results for MARWIL and APEX based Imitation Learning
@@ -99,6 +99,6 @@ The results show that a pure Imitation Learning can help push the mean completio
 
 ### 🌟 Credits
 
-- [🐦 Nilabha Bhattacharya](nilabha.ext@aicrowd.com)
-- [🐦 Jeremy Watson](jeremy@aicrowd.com)
-- [🐦 Florian Laurent](florian@aicrowd.com)
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+- [Nilabha Bhattacharya](nilabha.ext@aicrowd.com)
+- [Jeremy Watson](jeremy@aicrowd.com)
+- [Florian Laurent](florian@aicrowd.com)
\ No newline at end of file