Reinforcement Learning
stable-baselines3
SpaceInvadersNoFrameskip-v4
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use adyprat/dqn-SI4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use adyprat/dqn-SI4 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="adyprat/dqn-SI4", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download train_eval_metrics.zip from adyprat/dqn-SI4: direct link, hf CLI and curl.
- Browser
- Download file 122 kB
-
https://huggingface.co/adyprat/dqn-SI4/resolve/main/train_eval_metrics.zip
- Command line
-
hf download hf://adyprat/dqn-SI4/train_eval_metrics.zip
-
curl -L -o train_eval_metrics.zip https://huggingface.co/adyprat/dqn-SI4/resolve/main/train_eval_metrics.zip
122 kB
- Xet hash:
- 155e59afa83a1da46b8cc193876954f1450f5052563fad0f69b4cf433dc71bf5
- Size of remote file:
- 122 kB
- SHA256:
- c5dca26aa03a9c15517560281a92571acdd59138fe04640c6f21196f9d2ac970
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