Reinforcement Learning
stable-baselines3
BreakoutNoFrameskip-v4
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use Apocalypse-19/ppo-BreakoutNoFrameskip with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use Apocalypse-19/ppo-BreakoutNoFrameskip with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="Apocalypse-19/ppo-BreakoutNoFrameskip", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download train_eval_metrics.zip from Apocalypse-19/ppo-BreakoutNoFrameskip: direct link, hf CLI and curl.
- Browser
- Download file 96.1 kB
-
https://huggingface.co/Apocalypse-19/ppo-BreakoutNoFrameskip/resolve/main/train_eval_metrics.zip
- Command line
-
hf download hf://Apocalypse-19/ppo-BreakoutNoFrameskip/train_eval_metrics.zip
-
curl -L -o train_eval_metrics.zip https://huggingface.co/Apocalypse-19/ppo-BreakoutNoFrameskip/resolve/main/train_eval_metrics.zip
96.1 kB
- Xet hash:
- 36eb3ac3a937257e9beec0da4b7b55ed922378ab09914c3c6a4457156f7a5c77
- Size of remote file:
- 96.1 kB
- SHA256:
- 3f16d5b8ed7b449478d6f9ed80d44c250dce3f4b77105eab3d74ee9f4929c89d
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