Reinforcement Learning
stable-baselines3
PandaReachDense-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use ElementBrawlerAI/a2c-PandaReachDense-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use ElementBrawlerAI/a2c-PandaReachDense-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="ElementBrawlerAI/a2c-PandaReachDense-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4ce826b566bb3ccc60cec9e402be0c9d95485912f943f27960d4ef2ee62a0c7c
- Size of remote file:
- 3.06 kB
- SHA256:
- 223c024b101f65632ee6bfd1b4b29ba4a3956fc146f113a991401f2a16038cd8
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