Reinforcement Learning
stable-baselines3
PandaReachDense-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use Dotunnorth/a2c-PandaReachDense-v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use Dotunnorth/a2c-PandaReachDense-v4 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="Dotunnorth/a2c-PandaReachDense-v4", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 42089f8eddd206741f0dcec41379e691f3b5690c711a349e18b8913559387213
- Size of remote file:
- 2.63 kB
- SHA256:
- 9f344d6f8fdb2530d1a33e9739a798a6d73ee1f7414015da822ec8760b28bcfd
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