Reinforcement Learning
stable-baselines3
PandaReachDense-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use lightyip/a2c-PandaReachDense-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use lightyip/a2c-PandaReachDense-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="lightyip/a2c-PandaReachDense-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7f073d5b87aecc49af22bd8376855388a3980eae82040f13557afb3adfd5cb2c
- Size of remote file:
- 2.65 kB
- SHA256:
- c6f0a0a4bb18793ebedb4fe74f35a17c759a991eaa4e278dd5793fe1759b02c2
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