Reinforcement Learning
sample-factory
doom_health_gathering_supreme
custom-implementation
Eval Results (legacy)
Instructions to use SimhaSimha/sf-doom_health_gathering_supreme with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sample-factory
How to use SimhaSimha/sf-doom_health_gathering_supreme with sample-factory:
python -m sample_factory.huggingface.load_from_hub -r SimhaSimha/sf-doom_health_gathering_supreme -d ./train_dir
- Notebooks
- Google Colab
- Kaggle
Asynchronous PPO Agent Playing ViZDoom Health Gathering Supreme
This is an asynchronous reinforcement learning agent trained using Sample Factory to survive and gather health packs in ViZDoom (doom_health_gathering_supreme), submitted for Unit 8 Part 2 of the Hugging Face Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/unit8/introduction
- Downloads last month
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Evaluation results
- mean_reward on doom_health_gathering_supremeself-reported23.0 +/- 3.5