Reinforcement Learning
stable-baselines3
PandaReachDense-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use Kentris/a2c-PandaReachDense-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use Kentris/a2c-PandaReachDense-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="Kentris/a2c-PandaReachDense-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Update results.json
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results.json
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{"mean_reward": -2.8797221934888514, "std_reward": 0.5603686732377166, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-03-11T02:09:30.274670"}
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