Reinforcement Learning
stable-baselines3
PandaReachDense-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use dmenini/a2c-PandaReachDense-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use dmenini/a2c-PandaReachDense-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="dmenini/a2c-PandaReachDense-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 978e0993857e97855d83527b3145c564c54ef15dfdc0efa6cc3e65fbf2b9b1ea
- Size of remote file:
- 3.06 kB
- SHA256:
- 7c6ff3a7fa786c0e4c473677cd3ba22fc5eed1a1bf29b0b53f025a3e137d1fcb
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