|
--- |
|
library_name: stable-baselines3 |
|
tags: |
|
- Walker2d-v4 |
|
- deep-reinforcement-learning |
|
- reinforcement-learning |
|
- stable-baselines3 |
|
model-index: |
|
- name: SAC |
|
results: |
|
- task: |
|
type: reinforcement-learning |
|
name: reinforcement-learning |
|
dataset: |
|
name: Walker2d-v4 |
|
type: Walker2d-v4 |
|
metrics: |
|
- type: mean_reward |
|
value: 4201.90 +/- 62.23 |
|
name: mean_reward |
|
verified: false |
|
--- |
|
|
|
# **SAC** Agent playing **Walker2d-v4** |
|
This is a trained model of a **SAC** agent playing **Walker2d-v4** |
|
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3). |
|
|
|
## Usage (with Stable-baselines3) |
|
``` |
|
from stable_baselines3 import SAC |
|
from huggingface_sb3 import load_from_hub |
|
checkpoint = load_from_hub( |
|
repo_id="jren123/sac-walker2d-v4", |
|
filename="SAC-Walker2d-v4.zip", |
|
) |
|
model = SAC.load(checkpoint) |
|
``` |
|
|