Reinforcement Learning
stable-baselines3
SpaceInvadersNoFrameskip-v4
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use LibRust/SpaceInvadersNoFrameskip-v4_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use LibRust/SpaceInvadersNoFrameskip-v4_1 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="LibRust/SpaceInvadersNoFrameskip-v4_1", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download train_eval_metrics.zip from LibRust/SpaceInvadersNoFrameskip-v4_1: direct link, hf CLI and curl.
- Browser
- Download file 37.2 kB
-
https://huggingface.co/LibRust/SpaceInvadersNoFrameskip-v4_1/resolve/main/train_eval_metrics.zip
- Command line
-
hf download hf://LibRust/SpaceInvadersNoFrameskip-v4_1/train_eval_metrics.zip
-
curl -L -o train_eval_metrics.zip https://huggingface.co/LibRust/SpaceInvadersNoFrameskip-v4_1/resolve/main/train_eval_metrics.zip
37.2 kB
- Xet hash:
- f63107bd7c44845cfd654ea6aecf794ac8758580fdd21352c071e1b4fd665648
- Size of remote file:
- 37.2 kB
- SHA256:
- f6006f381f67c5fee67e66d47cea6f10ffd3c9da24f921f34447e7b96a2f1f50
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