Reinforcement Learning
stable-baselines3
PandaReachDense-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use DanGalt/a2c-PandaReachDense-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use DanGalt/a2c-PandaReachDense-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="DanGalt/a2c-PandaReachDense-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b432c888690585337948ff5fca353241e229d55e80d908274803046831d86dba
- Size of remote file:
- 3.21 kB
- SHA256:
- 0c941256c43fc4dbd59ef66c738c725390f91517ac82eea11f3efe7b1b2592e2
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