Downloads · 30 days
1
17% of all-time downloads
a2c-Atari-Pong
sbev/a2c-Atari-Pong
a2c-Atari-Pong is a reinforcement learning model from sbev. 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.
All-time downloads
6
Public
Repo size
27.3 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.zip13.8 MB · 49%
At a glance
- Task
- Reinforcement Learning
- Library
- stable-baselines3
- Access
- Public
- Created
- Sep 21, 2024
- Updated
- Sep 21, 2024
- SHA
- 135616b1
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
- Sep 21, 2024
- Updated
- Sep 21, 2024