Reinforcement Learning
stable-baselines3
BreakoutNoFrameskip-v4
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use sb3/ppo-BreakoutNoFrameskip-v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use sb3/ppo-BreakoutNoFrameskip-v4 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="sb3/ppo-BreakoutNoFrameskip-v4", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download replay.mp4 from sb3/ppo-BreakoutNoFrameskip-v4: direct link, hf CLI and curl.
- Browser
- Download file 73.4 kB
-
https://huggingface.co/sb3/ppo-BreakoutNoFrameskip-v4/resolve/main/replay.mp4
- Command line
-
hf download hf://sb3/ppo-BreakoutNoFrameskip-v4/replay.mp4
-
curl -L -o replay.mp4 https://huggingface.co/sb3/ppo-BreakoutNoFrameskip-v4/resolve/main/replay.mp4
73.4 kB
- Xet hash:
- 24cb6866c03016639fdeaaa5b51965a8a361309b7e7584067d33b89409fb3113
- Size of remote file:
- 73.4 kB
- SHA256:
- 2e0011329747d3242d6bc63d0b5cc732cfae05c84d58c47ef24a0f4ba3bbbf70
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