Reinforcement Learning
stable-baselines3
PandaReachDense-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use VLat3/a2c-PandaReachDense-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use VLat3/a2c-PandaReachDense-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="VLat3/a2c-PandaReachDense-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6c11ebb6f805b361411ff671188523a94ebb592a26e6cbbbb62ddbfc22f38a82
- Size of remote file:
- 2.71 kB
- SHA256:
- 6ee46d95213bf75017917483a4b34c00fd3f6b126d0426f13214325b0856dd8e
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