Reinforcement Learning
stable-baselines3
PandaReachDense-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use dcarpintero/a2c-PandaReachDense-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use dcarpintero/a2c-PandaReachDense-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="dcarpintero/a2c-PandaReachDense-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 31c0a81fb537acd76814c0e74d147e3c4e3ca19f92ecccc1163cd0e2caa224e9
- Size of remote file:
- 108 kB
- SHA256:
- 0057d0ecd2a7d93e3e24c4eadbb3bbb96e8a74e97d1c1c01f066f76ec96aab4d
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