Reinforcement Learning
stable-baselines3
PandaReachDense-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use kitrakrev/a2c-PandaReachDense-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use kitrakrev/a2c-PandaReachDense-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="kitrakrev/a2c-PandaReachDense-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bc856c11a2cc293f3d4df5639dddf512bd34d84272ccc57fc055f80305f56ff8
- Size of remote file:
- 108 kB
- SHA256:
- e283f8dd3e3f19e6ef98108896252c3851934d5272d62bd1d8aa7413654f6434
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