    
  # **ppo** Agent playing **Huggy** 🐶
  This is a trained model of a **ppo** agent playing **Huggy** using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
  
  ## Usage (with ML-Agents)
  ### Resume the training
  ```
  mlagents-learn <your_configuration_file_path.yaml> --run-id=<run_id> --resume
  ```
  ### Watch your Agent
  1. Move your model file into the environment Project
  2. Open the Unity Editor, and select the scene.
  3. Select the prefab Agent object.
  4. Drag the <behavior_name>.onnx file from the Project window of the Editor to the Model placeholder in the Agent inspector window.
  5. Press the Play button at the top of the Editor.
  
{"library_name": "ml-agents", "tags": ["unity-ml-agents", "ml-agents", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-Huggy"]}
ml-agents tensorboard onnx unity-ml-agents deep-reinforcement-learning reinforcement-learning ML-Agents-Huggy region:us
TAGS
#ml-agents #tensorboard #onnx #unity-ml-agents #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Huggy #region-us 

    
  # ppo Agent playing Huggy 
  This is a trained model of a ppo agent playing Huggy using the Unity ML-Agents Library.
  
  ## Usage (with ML-Agents)
  ### Resume the training
  
  ### Watch your Agent
  1. Move your model file into the environment Project
  2. Open the Unity Editor, and select the scene.
  3. Select the prefab Agent object.
  4. Drag the <behavior_name>.onnx file from the Project window of the Editor to the Model placeholder in the Agent inspector window.
  5. Press the Play button at the top of the Editor.
  
# ppo Agent playing Huggy 
  This is a trained model of a ppo agent playing Huggy using the Unity ML-Agents Library.
  
  ## Usage (with ML-Agents)
  ### Resume the training
  
  ### Watch your Agent
  1. Move your model file into the environment Project
  2. Open the Unity Editor, and select the scene.
  3. Select the prefab Agent object.
  4. Drag the <behavior_name>.onnx file from the Project window of the Editor to the Model placeholder in the Agent inspector window.
  5. Press the Play button at the top of the Editor.
TAGS
#ml-agents #tensorboard #onnx #unity-ml-agents #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Huggy #region-us 
 # ppo Agent playing Huggy 
  This is a trained model of a ppo agent playing Huggy using the Unity ML-Agents Library.
  
  ## Usage (with ML-Agents)
  ### Resume the training
  
  ### Watch your Agent
  1. Move your model file into the environment Project
  2. Open the Unity Editor, and select the scene.
  3. Select the prefab Agent object.
  4. Drag the <behavior_name>.onnx file from the Project window of the Editor to the Model placeholder in the Agent inspector window.
  5. Press the Play button at the top of the Editor.
passage: TAGS
#ml-agents #tensorboard #onnx #unity-ml-agents #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Huggy #region-us 
# ppo Agent playing Huggy 
  This is a trained model of a ppo agent playing Huggy using the Unity ML-Agents Library.
  
  ## Usage (with ML-Agents)
  ### Resume the training
  
  ### Watch your Agent
  1. Move your model file into the environment Project
  2. Open the Unity Editor, and select the scene.
  3. Select the prefab Agent object.
  4. Drag the <behavior_name>.onnx file from the Project window of the Editor to the Model placeholder in the Agent inspector window.
  5. Press the Play button at the top of the Editor.