Reinforcement Learning
stable-baselines3
PandaReachDense-v3
a2c
deep-rl
panda-gym
Eval Results (legacy)
Instructions to use LuckLin/a2c-PandaReachDense-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use LuckLin/a2c-PandaReachDense-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="LuckLin/a2c-PandaReachDense-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download a2c-PandaReachDense-v3.zip from LuckLin/a2c-PandaReachDense-v3: direct link, hf CLI and curl.
- Browser
- Download file 114 kB
-
https://huggingface.co/LuckLin/a2c-PandaReachDense-v3/resolve/main/a2c-PandaReachDense-v3.zip
- Command line
-
hf download hf://LuckLin/a2c-PandaReachDense-v3/a2c-PandaReachDense-v3.zip
-
curl -L -o a2c-PandaReachDense-v3.zip https://huggingface.co/LuckLin/a2c-PandaReachDense-v3/resolve/main/a2c-PandaReachDense-v3.zip
114 kB
- Xet hash:
- 09f68b30df0dd2790ae2d3db4dc5a064b703ed7aea9ed4b629d79fc6be7bc605
- Size of remote file:
- 114 kB
- SHA256:
- a67d15f94d3c027ac1b25e683ed478dab963d10c293047eb5ca0b369e20e1a45
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