Downloads · 30 days
181
15% of all-time downloads
Reacher-v5-SAC-medium
farama-minari/Reacher-v5-SAC-medium
Reacher-v5-SAC-medium is a reinforcement learning model from farama-minari. 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 SAC agent playing Reacher-v5 using the stable-baselines3 library.
All-time downloads
1.2K
Public
Repo size
15.5 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.zip6.2 MB · 50%
At a glance
- Task
- Reinforcement Learning
- Library
- stable-baselines3
- Access
- Public
- Created
- Oct 17, 2024
- Updated
- Jan 26, 2025
- SHA
- 7366bc42
Model card
From the Hugging Face model README
SAC Agent playing Reacher-v5
This is a trained model of a SAC agent playing Reacher-v5 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
- Oct 17, 2024
- Updated
- Jan 26, 2025