Update README.md

README.md

@@ -14,12 +14,6 @@ tags:
   ## Usage (with ML-Agents)
   The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Documentation/
 
-  We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
-  - A *short tutorial* where you teach Huggy the Dog 🐶 to fetch the stick and then play with him directly in your
-  browser: https://huggingface.co/learn/deep-rl-course/unitbonus1/introduction
-  - A *longer tutorial* to understand how works ML-Agents:
-  https://huggingface.co/learn/deep-rl-course/unit5/introduction
-
   ### Resume the training
   ```bash
   mlagents-learn <your_configuration_file_path.yaml> --run-id=<run_id> --resume
@@ -28,7 +22,7 @@ tags:
   ### Watch your Agent play
   You can watch your agent **playing directly in your browser**
 
-  1. If the environment is part of ML-Agents official environments, go to https://huggingface.co/unity
+  1. If the environment is part of ML-Agents official environments, go to https://huggingface.co/spaces/unity/ML-Agents-SoccerTwos
   2. Step 1: Find your model_id: InMDev/poca-SoccerTwos
   3. Step 2: Select your *.nn /*.onnx file
   4. Click on Watch the agent play 👀