Reinforcement Learning
stable-baselines3
PandaReachDense-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use MindNetML/a2c-PandaReachDense-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use MindNetML/a2c-PandaReachDense-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="MindNetML/a2c-PandaReachDense-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d0149f83898055e5623bcc4fbcc0ccc762c4c5380a23b0191d2588e1fbbdade7
- Size of remote file:
- 2.38 kB
- SHA256:
- 81d03d7b573c8c640537cd08a982712514dc618810dc0f8d903e09ef2fd219c9
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