Reinforcement Learning
stable-baselines3
PandaReachDense-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use happycoding/a2c-PandaReachDense-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use happycoding/a2c-PandaReachDense-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="happycoding/a2c-PandaReachDense-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0c26c19f1b8e516436beae8880cce6d515a5a298005bd05efd7867f26304f81d
- Size of remote file:
- 107 kB
- SHA256:
- c8b01a9ce769e14cba5ef797b8e43b883786de87fcca861c04e8e2ae568a3479
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