Reinforcement Learning
stable-baselines3
PandaPickAndPlace-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use JiriG/a2c-PandaPickAndPlace-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use JiriG/a2c-PandaPickAndPlace-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="JiriG/a2c-PandaPickAndPlace-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 797a35161691db1ce15425bd054786372742e874e9ff8d54ffaef38ac6762041
- Size of remote file:
- 3.01 kB
- SHA256:
- 213497f4ca7c83200f0dbae65bba2e3b20aefeae07ee52c6abcdc752ad18eeae
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