Reinforcement Learning
stable-baselines3
PandaReachDense-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use umesh251/a2c-PandaReachDense-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use umesh251/a2c-PandaReachDense-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="umesh251/a2c-PandaReachDense-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3aaa232edfb322ced21d04f515b55f6df9167d716440b91173d84ba432342a6e
- Size of remote file:
- 2.64 kB
- SHA256:
- 94498f4b15c6fc5658b4e44e09525e08209425a0decb4f629c4badaf0985fd83
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