Reinforcement Learning
stable-baselines3
ONNX
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use seekdepth/ppo-LunarLander-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use seekdepth/ppo-LunarLander-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="seekdepth/ppo-LunarLander-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Jarad commited on
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readme
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README.md
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@@ -27,7 +27,7 @@ using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines
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## Interactive browser demo
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Try this policy in the [Lunar Lander
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**Human Pilot** for direct keyboard control, **AI Pilot** to let the policy
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choose every action, or **Autopilot with Manual Override** to let the policy fly
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until you intervene. **4 AI Simulations** runs four independent policy-controlled
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## Interactive browser demo
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Try this policy in the [Lunar Lander Sandbox](https://rl.livive.net/). Choose
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**Human Pilot** for direct keyboard control, **AI Pilot** to let the policy
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choose every action, or **Autopilot with Manual Override** to let the policy fly
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until you intervene. **4 AI Simulations** runs four independent policy-controlled
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