Reinforcement Learning
stable-baselines3
PandaPickAndPlace-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use MUTSC/a2c-PandaPickAndPlace-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use MUTSC/a2c-PandaPickAndPlace-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="MUTSC/a2c-PandaPickAndPlace-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download vec_normalize.pkl from MUTSC/a2c-PandaPickAndPlace-v3: direct link, hf CLI and curl.
- Browser
- Download file 3.01 kB
-
https://huggingface.co/MUTSC/a2c-PandaPickAndPlace-v3/resolve/main/vec_normalize.pkl
- Command line
-
hf download hf://MUTSC/a2c-PandaPickAndPlace-v3/vec_normalize.pkl
-
curl -L -o vec_normalize.pkl https://huggingface.co/MUTSC/a2c-PandaPickAndPlace-v3/resolve/main/vec_normalize.pkl
3.01 kB
- Xet hash:
- d2c03e2d768657b4e47bd43f0731a0f7c73b334ad7e10146d7738c4fc7d6f8c2
- Size of remote file:
- 3.01 kB
- SHA256:
- 3e6edd1500c30bade7c67aac607c8c55b56f5748c5812694f6c4373be17754cf
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