Reinforcement Learning
stable-baselines3
PandaReachDense-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use MStarn/a2c-PandaReachDense-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use MStarn/a2c-PandaReachDense-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="MStarn/a2c-PandaReachDense-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d9ff58d92f40c4c1892952dab03c60e02f0c53a89c6b19bbfcc3770c630e4582
- Size of remote file:
- 2.64 kB
- SHA256:
- 8aaebe20d620b4f8b834a05b0f900aa76f57283b99be34e25d2e5dfb8722d5f4
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