Reinforcement Learning
stable-baselines3
PandaReachDense-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use sagarsdesai/a2c-PandaReachDense-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use sagarsdesai/a2c-PandaReachDense-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="sagarsdesai/a2c-PandaReachDense-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ee9676136400611a3170897ff46b2095830cfe1828a172648c4c6e4ab4cb01f8
- Size of remote file:
- 2.82 kB
- SHA256:
- e095ea3de42a514d268288d606e9d3608c7dcc5567218ce297aa3ccc38b4eb46
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