Reinforcement Learning
stable-baselines3
PandaReachDense-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use AkumaDachi/PandaReachDense with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use AkumaDachi/PandaReachDense with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="AkumaDachi/PandaReachDense", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e61df2624344fd94feed7ab09f16af1b6d6bb7911932198ea2871754283d7639
- Size of remote file:
- 2.64 kB
- SHA256:
- 8d315d8f2a423e59ff34a0ecb7f23223e27ea4b6d43d005f734e4cd51d46bf16
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