Reinforcement Learning
stable-baselines3
SpaceInvadersNoFrameskip-v4
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use FreelancerFel/dqn_SpaceInvader with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use FreelancerFel/dqn_SpaceInvader with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="FreelancerFel/dqn_SpaceInvader", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download dqn-SpaceInvadersNoFrameskip-v4.zip from FreelancerFel/dqn_SpaceInvader: direct link, hf CLI and curl.
- Browser
- Download file 27.2 MB
-
https://huggingface.co/FreelancerFel/dqn_SpaceInvader/resolve/main/dqn-SpaceInvadersNoFrameskip-v4.zip
- Command line
-
hf download hf://FreelancerFel/dqn_SpaceInvader/dqn-SpaceInvadersNoFrameskip-v4.zip
-
curl -L -o dqn-SpaceInvadersNoFrameskip-v4.zip https://huggingface.co/FreelancerFel/dqn_SpaceInvader/resolve/main/dqn-SpaceInvadersNoFrameskip-v4.zip
27.2 MB
- Xet hash:
- c0f4733613adb820fd78b505b29df87c56434f71f91897628ccea32e456b2756
- Size of remote file:
- 27.2 MB
- SHA256:
- c38fdfa32d55ac7a308bee24386dec6a5be314e6fdc365ff892737d5bfd56c62
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