Reinforcement Learning
stable-baselines3
PandaReachDense-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use timflash/a2c-PandaReachDense-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use timflash/a2c-PandaReachDense-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="timflash/a2c-PandaReachDense-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1c4132bb6298a699b90f04fe087b8d987ca8520769a4f86adbd6ea6db824923f
- Size of remote file:
- 2.64 kB
- SHA256:
- 8705bde97a91159002f2d9febad9afbf39eccbeb308d5cc420066d1ea10eee0b
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