Reinforcement Learning
stable-baselines3
PandaReachDense-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use LOGQS/a2c-PandaReachDense-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use LOGQS/a2c-PandaReachDense-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="LOGQS/a2c-PandaReachDense-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 320b83c0acf9ddd140ddd8b2dce405a50d313c92a9b5512aa388f70093993d5a
- Size of remote file:
- 2.39 kB
- SHA256:
- a319384903166d59649ba7c79452feb556ffad54825b8cc1ce97019ce56d9196
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