Reinforcement Learning
stable-baselines3
PandaReachDense-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use dcarpintero/a2c-PandaReachDense-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use dcarpintero/a2c-PandaReachDense-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="dcarpintero/a2c-PandaReachDense-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bda994d1ce0f17c01417202f3850a6f03f53e62e9bd997c8e8bc5e13e747b83e
- Size of remote file:
- 2.39 kB
- SHA256:
- 994b32ffea2f50f790c30bc33ac697e01441ae49ae9409bae24ef9df691dd70d
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