Reinforcement Learning
stable-baselines3
PandaReachDense-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use MoistPotato/a2c-PandaReachDense-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use MoistPotato/a2c-PandaReachDense-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="MoistPotato/a2c-PandaReachDense-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 47c82ef9dd572406b9ede7b65b1c21b1ce9a1250230678bbca2408bd0bb855ed
- Size of remote file:
- 2.64 kB
- SHA256:
- c63c7cea218c8c0337c1de8698971dff8cad2fc201fadcd888a5256508c285a9
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