Reinforcement Learning
stable-baselines3
PandaReachDense-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use happycoding/sac-PandaReachDense-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use happycoding/sac-PandaReachDense-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="happycoding/sac-PandaReachDense-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8111a40fdd381f963bd85aeaf7901b44794d2ef829d90a4a5cef5b5feef530d1
- Size of remote file:
- 3.06 kB
- SHA256:
- 49ddc1269fca6cf8f8267221df42f0688077d84fbf7a91992d91cd60fccd145e
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