Reinforcement Learning
stable-baselines3
MiniGrid-DoorKey-5x5-v0
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use sb3/ppo-MiniGrid-DoorKey-5x5-v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use sb3/ppo-MiniGrid-DoorKey-5x5-v0 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="sb3/ppo-MiniGrid-DoorKey-5x5-v0", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download train_eval_metrics.zip from sb3/ppo-MiniGrid-DoorKey-5x5-v0: direct link, hf CLI and curl.
- Browser
- Download file 117 kB
-
https://huggingface.co/sb3/ppo-MiniGrid-DoorKey-5x5-v0/resolve/main/train_eval_metrics.zip
- Command line
-
hf download hf://sb3/ppo-MiniGrid-DoorKey-5x5-v0/train_eval_metrics.zip
-
curl -L -o train_eval_metrics.zip https://huggingface.co/sb3/ppo-MiniGrid-DoorKey-5x5-v0/resolve/main/train_eval_metrics.zip
117 kB
- Xet hash:
- ae486efb53afa20f111fc5b3521fe02bf11276739d38a0346fc5b2a60bdf593f
- Size of remote file:
- 117 kB
- SHA256:
- 1fdf56d117514da2a4d552ceefd1fc96dc3713a66360ba977f9003e506af0d03
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