Reinforcement Learning
stable-baselines3
PandaReachDense-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use jugalgajjar/a2c-PandaReachDense-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use jugalgajjar/a2c-PandaReachDense-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="jugalgajjar/a2c-PandaReachDense-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6d3a6ccde0a805393535e0673207fe0fb8fe70939d06bc9f570afe450bc9aa56
- Size of remote file:
- 2.64 kB
- SHA256:
- 20fc1ba2bb4613ab21cc2b03d5cf286635487a50780b3cbbf81fc4a5f42b7644
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