Reinforcement Learning
stable-baselines3
PandaPickAndPlace-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use Michael-Andrev/A2C_Pick_and_Place with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use Michael-Andrev/A2C_Pick_and_Place with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="Michael-Andrev/A2C_Pick_and_Place", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 242daae83a4b5f597bfceaddf5af4ba29a946b12b1755369cea182191fd4a5e6
- Size of remote file:
- 53.4 kB
- SHA256:
- 846c37b139339b252675f21959ff8e42c6a5bf09b8e1ff3028ce248db0cf5dea
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.