Reinforcement Learning
stable-baselines3
PandaPickAndPlace-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use Terps/a2c-PandaPickAndPlace-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use Terps/a2c-PandaPickAndPlace-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="Terps/a2c-PandaPickAndPlace-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b47a20a7d047534f1840724af47b52c520c75f0873a2d566938a0d3675bac7ed
- Size of remote file:
- 3.01 kB
- SHA256:
- fbde0b55780b3cd3504aaddc1267293ec89d266a3f3b9b5b33f7edcf90f25eaa
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