Reinforcement Learning
stable-baselines3
seals/Swimmer-v1
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use HumanCompatibleAI/sac-seals-Swimmer-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use HumanCompatibleAI/sac-seals-Swimmer-v1 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="HumanCompatibleAI/sac-seals-Swimmer-v1", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download train_eval_metrics.zip from HumanCompatibleAI/sac-seals-Swimmer-v1: direct link, hf CLI and curl.
- Browser
- Download file 28 kB
-
https://huggingface.co/HumanCompatibleAI/sac-seals-Swimmer-v1/resolve/main/train_eval_metrics.zip
- Command line
-
hf download hf://HumanCompatibleAI/sac-seals-Swimmer-v1/train_eval_metrics.zip
-
curl -L -o train_eval_metrics.zip https://huggingface.co/HumanCompatibleAI/sac-seals-Swimmer-v1/resolve/main/train_eval_metrics.zip
28 kB
- Xet hash:
- 07edbbaac8260db1853542cc51c28fe3ca6d996699184fc97ca571d938e8fe6d
- Size of remote file:
- 28 kB
- SHA256:
- bc0381fc9e16ccda3dd2904756e8ac0b4ebe97bff618441d0315930299befcad
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