Beta

Explore
Marketplace
Neural Labs
Chat
Wallet
Docs

Beta

Explore Marketplace Neural Labs Wallet Docs

Build

Manage

My assets Manage wallet Organization

Community

Discord X (Twitter)Telegram

Docs Privacy Policy Terms and Conditions

Proud member of

Proud member of

Docs Cookie Policy

Privacy Policy Terms and Conditions

© 2026 AlphaNeural AI. All rights reserved.

QuadOpt-RL-ppo-sb3 – AI Model by arzhela | AlphaNeural AI

You can deploy this model and start earning money today!

arzhela/
QuadOpt-RL-ppo-sb3

like

0

stable-baselines3

reinforcement-learning

Views

No views yet

PPO Agent for QuadMesh-v0

This model is a PPO (Proximal Policy Optimization) agent trained with Stable-Baselines3 on the custom QuadMesh-v0 environment.

Description

The agent was trained to optimize quadrilateral meshes using reinforcement learning.

Usage

python

from huggingface_hub import hf_hub_download
from stable_baselines3 import PPO

# Download and load the model
model_path = hf_hub_download(
    repo_id="arzhela/QuadOpt-RL-ppo-sb3",
    filename="test_model.zip",
)
model = PPO.load(model_path)

# Use the model (requires the QuadMesh-v0 environment)
# obs, info = env.reset()
# action, _states = model.predict(obs, deterministic=True)

Training Details

Algorithm: PPO
Library: Stable-Baselines3
Environment: QuadMesh-v0 (custom Gymnasium environment)

Hyperparameters