Reinforcement Learning
stable-baselines3
PandaReachDense-v3
PandaReachDense
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use SimhaSimha/a2c-PandaReachDense-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use SimhaSimha/a2c-PandaReachDense-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="SimhaSimha/a2c-PandaReachDense-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download vec_normalize.pkl from SimhaSimha/a2c-PandaReachDense-v3: direct link, hf CLI and curl.
- Browser
- Download file 6.37 kB
-
https://huggingface.co/SimhaSimha/a2c-PandaReachDense-v3/resolve/main/vec_normalize.pkl
- Command line
-
hf download hf://SimhaSimha/a2c-PandaReachDense-v3/vec_normalize.pkl
-
curl -L -o vec_normalize.pkl https://huggingface.co/SimhaSimha/a2c-PandaReachDense-v3/resolve/main/vec_normalize.pkl
6.37 kB
- Xet hash:
- dd83dd1d52ec8295936b660d4d5fe67a5f0644d6fdaf11d74f4c07958e278e77
- Size of remote file:
- 6.37 kB
- SHA256:
- b9d04dc249b4230e1fb3b3939178a1009d7332214c5d2a9715114148fd6a9d50
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