Reinforcement Learning
stable-baselines3
PandaReachDense-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use tmoroder/a2c-PandaReachDense-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use tmoroder/a2c-PandaReachDense-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="tmoroder/a2c-PandaReachDense-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download a2c-PandaReachDense-v3.zip from tmoroder/a2c-PandaReachDense-v3: direct link, hf CLI and curl.
- Browser
- Download file 114 kB
-
https://huggingface.co/tmoroder/a2c-PandaReachDense-v3/resolve/main/a2c-PandaReachDense-v3.zip
- Command line
-
hf download hf://tmoroder/a2c-PandaReachDense-v3/a2c-PandaReachDense-v3.zip
-
curl -L -o a2c-PandaReachDense-v3.zip https://huggingface.co/tmoroder/a2c-PandaReachDense-v3/resolve/main/a2c-PandaReachDense-v3.zip
114 kB
- Xet hash:
- 6a169ae467466971944ce1ee9898109ada759a3e2fd4b1270fcccb097c154816
- Size of remote file:
- 114 kB
- SHA256:
- 3fcc525c75772927a86d73f53a494ee4d7c6ab3e5a5153c08a580322aedf2ec9
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