Reinforcement Learning
stable-baselines3
PandaReachDense-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use gmalivenko/a2c-PandaReachDense-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use gmalivenko/a2c-PandaReachDense-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="gmalivenko/a2c-PandaReachDense-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f77d6f2e4ebfd892668214a22c25cbcde1d9ce2b0e5399c66c56107d1af2f7ea
- Size of remote file:
- 2.64 kB
- SHA256:
- 5433c942bd7709a1b2708ab3648b1b0d3f95d8cb66bc49c27843d252cd4a03f5
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