metadata
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.
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)