Reinforcement Learning
stable-baselines3
PandaReachDense-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use HariharanMS07/a2c-PandaReachDense-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use HariharanMS07/a2c-PandaReachDense-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="HariharanMS07/a2c-PandaReachDense-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e165f6387d90faf1247f528673d36d8af65fe3d61e30e8c46cbfedcbad9f1e8d
- Size of remote file:
- 2.64 kB
- SHA256:
- 18217a932647a0a6e8a9811985ad9daba97c5cf0cf18c2f5ab261d271bcfa79d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.