Reinforcement Learning
stable-baselines3
PandaReachDense-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use yojitha/a2c-PandaReachDense-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use yojitha/a2c-PandaReachDense-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="yojitha/a2c-PandaReachDense-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download vec_normalize.pkl from yojitha/a2c-PandaReachDense-v3: direct link, hf CLI and curl.
- Browser
- Download file 2.57 kB
-
https://huggingface.co/yojitha/a2c-PandaReachDense-v3/resolve/main/vec_normalize.pkl
- Command line
-
hf download hf://yojitha/a2c-PandaReachDense-v3/vec_normalize.pkl
-
curl -L -o vec_normalize.pkl https://huggingface.co/yojitha/a2c-PandaReachDense-v3/resolve/main/vec_normalize.pkl
2.57 kB
- Xet hash:
- 919414a1fb993ea812c087f7066fc3bfa5d73ce7371bd50a772c959b3bb5d8b1
- Size of remote file:
- 2.57 kB
- SHA256:
- 3a0b567ba970e599b2740d635f54ed833f3bfaa99a30c1966bed1b2e2bf322a6
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