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
- Xet hash:
- c0268153b7a01d24823c86604ced66cd0d41dd99099f87e2f33c062ac40baee4
- Size of remote file:
- 2.72 kB
- SHA256:
- db94ffe0b2ee11e08f1d212fe9e6377deec97aeaace8175cf5818f614daa8c91
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