Reinforcement Learning
stable-baselines3
PandaReachDense-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use amarmol/a2c-PandaReachDense-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use amarmol/a2c-PandaReachDense-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="amarmol/a2c-PandaReachDense-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c26103d3973f4b813a41c6a0b72690343e6ed16cf94564fcaac02c7dfe46770c
- Size of remote file:
- 110 kB
- SHA256:
- 845066387c395e96ba5a971a847f9ce7d0aa41e90f4d5dd0c205e2c31139c06f
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