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a2c-AntBulletEnv-v0
QuickSilver007/a2c-AntBulletEnv-v0
a2c-AntBulletEnv-v0 is a reinforcement learning model from QuickSilver007. Use it for the reinforcement learning task on the model card, and read the license before you ship it in a product. It is set up for stable-baselines3.
This is a trained model of a A2C agent playing AntBulletEnv-v0 using the stable-baselines3 library.
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At a glance
- Task
- Reinforcement Learning
- Library
- stable-baselines3
- Access
- Public
- Created
- Aug 2, 2022
- Updated
- Aug 2, 2022
- SHA
- 33179850
Model card
From the Hugging Face model README
A2C Agent playing AntBulletEnv-v0
This is a trained model of a A2C agent playing AntBulletEnv-v0 using the stable-baselines3 library.
Usage (with Stable-baselines3)
TODO: Add your code
from stable_baselines3 import ...
from huggingface_sb3 import load_from_hub
...
- Task
- Reinforcement Learning
- Library
- stable-baselines3
- Created
- Aug 2, 2022
- Updated
- Aug 2, 2022