Reinforcement Learning
stable-baselines3
PandaReachDense-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use ramsi-k/a2c-PandaReachDense-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use ramsi-k/a2c-PandaReachDense-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="ramsi-k/a2c-PandaReachDense-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c0b3df9355dc56141a6b6008920932db7b222b951ae3f1af76c89af856e321c3
- Size of remote file:
- 2.66 kB
- SHA256:
- bb29b743ac7b343a8722b851515765c762a759eab0ca4f427827c855ac5574fd
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