Reinforcement Learning
stable-baselines3
Acrobot-v1
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use sb3/ars-Acrobot-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use sb3/ars-Acrobot-v1 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="sb3/ars-Acrobot-v1", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Upload README.md with huggingface_hub
Browse files
README.md
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@@ -37,7 +37,7 @@ SB3 Contrib: https://github.com/Stable-Baselines-Team/stable-baselines3-contrib
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```
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# Download model and save it into the logs/ folder
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python -m
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python enjoy.py --algo ars --env Acrobot-v1 -f logs/
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```
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```
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python train.py --algo ars --env Acrobot-v1 -f logs/
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# Upload the model and generate video (when possible)
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python -m
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```
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## Hyperparameters
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```
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# Download model and save it into the logs/ folder
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python -m rl_zoo3.load_from_hub --algo ars --env Acrobot-v1 -orga sb3 -f logs/
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python enjoy.py --algo ars --env Acrobot-v1 -f logs/
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```
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```
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python train.py --algo ars --env Acrobot-v1 -f logs/
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# Upload the model and generate video (when possible)
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python -m rl_zoo3.push_to_hub --algo ars --env Acrobot-v1 -f logs/ -orga sb3
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```
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## Hyperparameters
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