Reinforcement Learning
stable-baselines3
PandaReachDense-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use J3/a2c-PandaReachDense-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use J3/a2c-PandaReachDense-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="J3/a2c-PandaReachDense-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0705ebd0396d13e58b8d5ee4757500f5e33c180feca4bcc0a5c441ad22440f57
- Size of remote file:
- 109 kB
- SHA256:
- 18bdfbe61d16fd32255ef1c336612c7fffb8dba936ff2266ddfa328a2a54a7de
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