Instructions to use settybhavithav/rl_course_vizdoom_health_gathering_supreme with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sample-factory
How to use settybhavithav/rl_course_vizdoom_health_gathering_supreme with sample-factory:
python -m sample_factory.huggingface.load_from_hub -r settybhavithav/rl_course_vizdoom_health_gathering_supreme -d ./train_dir
- Notebooks
- Google Colab
- Kaggle
APPO Agent playing doom_health_gathering_supreme
This is a trained model of an APPO agent playing doom_health_gathering_supreme using the Sample-Factory library.
- Environment: doom_health_gathering_supreme
- Mean Reward: 12.50 +/- 2.10
- Certification Threshold: >= 5.0 (Passed!)
- Downloads last month
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Evaluation results
- mean_reward on doom_health_gathering_supremeself-reported12.50 +/- 2.10