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@@ -9,23 +9,24 @@ This is a trained model of a PPO agent playing PongNoFrameskip-v4 using the stab
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  <video src="https://huggingface.co/ThomasSimonini/ppo-PongNoFrameskip-v4/resolve/main/output.mp4" controls autoplay loop></video>
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- # Usage (with Stable-baselines3)
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-
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-
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  ## Evaluation Results
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  Mean_reward = 21.00 +/- 0.0
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- ## Watch your agent interacts
 
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  - You need to use `gym==0.19` since it **includes Atari Roms**.
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  - The Actor Space is 6 since we use only **legit actions**.
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  ```python
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- # Install these libraries (don't forget to restart the runtime after installing the librairies)
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  !pip install stable-baselines3[extra]
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  !pip install huggingface_sb3
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  !pip install huggingface_hub
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  !pip install pickle5
 
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  # Import the libraries
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  import os
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  <video src="https://huggingface.co/ThomasSimonini/ppo-PongNoFrameskip-v4/resolve/main/output.mp4" controls autoplay loop></video>
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  ## Evaluation Results
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  Mean_reward = 21.00 +/- 0.0
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+ # Usage (with Stable-baselines3)
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+ ## Watch your agent interacts (in Google Colab)
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  - You need to use `gym==0.19` since it **includes Atari Roms**.
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  - The Actor Space is 6 since we use only **legit actions**.
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  ```python
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+ # Install these libraries in one cell (don't forget to restart the runtime after installing the librairies)
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  !pip install stable-baselines3[extra]
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  !pip install huggingface_sb3
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  !pip install huggingface_hub
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  !pip install pickle5
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+ ```
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+ Don't forget to restart the runtime before running the code below:
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+ ```python
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  # Import the libraries
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  import os
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