Reinforcement Learning
stable-baselines3
PandaReachDense-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use andrei-saceleanu/a2c-PandaReachDense-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use andrei-saceleanu/a2c-PandaReachDense-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="andrei-saceleanu/a2c-PandaReachDense-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3e6dadb859287f946fde5384a425bd4385f1bdc1c03b46e527f9803b151dce0d
- Size of remote file:
- 108 kB
- SHA256:
- 0d723626cdbcc0327e31f472de551c5c95b2d5b3f031beae5f44705637e15ad8
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.