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a2c-Atari-Pong
nsanghi/a2c-Atari-Pong
a2c-Atari-Pong is a reinforcement learning model from nsanghi. 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 PongNoFrameskip-v4 using the stable-baselines3 library.
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At a glance
- Task
- Reinforcement Learning
- Library
- stable-baselines3
- Access
- Public
- Created
- Jul 10, 2023
- Updated
- Mar 5, 2024
- SHA
- 38daf50e
Model card
From the Hugging Face model README
A2C Agent playing PongNoFrameskip-v4
This is a trained model of a A2C agent playing PongNoFrameskip-v4 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
- Jul 10, 2023
- Updated
- Mar 5, 2024