Reinforcement Learning
stable-baselines3
PandaReachDense-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use KMJJJJ/a2c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use KMJJJJ/a2c with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="KMJJJJ/a2c", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e6a13e0cabc006476451cda87a7c1a2b04115565ce85c624b53ef809fbe28566
- Size of remote file:
- 110 kB
- SHA256:
- 40c08e9ccf27756fdc95d60b5cfbb2d609109bdf82fc5f8bebe6d68ae221807d
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