Reinforcement Learning
stable-baselines3
SpaceInvadersNoFrameskip-v4
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use NorbertRop/qrdqn-SpaceInvadersNoFrameskip-v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use NorbertRop/qrdqn-SpaceInvadersNoFrameskip-v4 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="NorbertRop/qrdqn-SpaceInvadersNoFrameskip-v4", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download train_eval_metrics.zip from NorbertRop/qrdqn-SpaceInvadersNoFrameskip-v4: direct link, hf CLI and curl.
- Browser
- Download file 128 kB
-
https://huggingface.co/NorbertRop/qrdqn-SpaceInvadersNoFrameskip-v4/resolve/main/train_eval_metrics.zip
- Command line
-
hf download hf://NorbertRop/qrdqn-SpaceInvadersNoFrameskip-v4/train_eval_metrics.zip
-
curl -L -o train_eval_metrics.zip https://huggingface.co/NorbertRop/qrdqn-SpaceInvadersNoFrameskip-v4/resolve/main/train_eval_metrics.zip
128 kB
- Xet hash:
- c0766f54fe7089700dc9bd065796b47de90c1d577de718740be081d21596cba3
- Size of remote file:
- 128 kB
- SHA256:
- 3e3a11c694ab2e458c0536ae12b809fda60189c6378f07f9f7b5e734eba5e736
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