Reinforcement Learning
stable-baselines3
PandaReachDense-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use ramsi-k/a2c-PandaReachDense-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use ramsi-k/a2c-PandaReachDense-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="ramsi-k/a2c-PandaReachDense-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0c140e9d7d851c70b2c270f32ff72098a6f78d7480503dd3c515d54449484a6d
- Size of remote file:
- 110 kB
- SHA256:
- e1ec063307d4614692d30e10e652e7fa03eb721cea4f743d4dcf4d68fb0bc64b
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