Vishand03/HuggyModel
By Vishand03 · ↓ 0 · ♥ 0 · Updated 2025-08-26
What's in this repo
This page lists the files in Vishand03/HuggyModel, including Huggy-799913.onnx.
- 1 ONNX models (.onnx files)
- 3 files, including 1 .onnx, 1 .md
- Last updated 2025-08-26
ONNX files
| File | Size | Download |
|---|---|---|
| Huggy-799913.onnx | — | Download |
How to use
These ONNX files can be loaded with ONNX Runtime. To inspect a model graph, upload the file to the Netron viewer. Download links point to the original files on Hugging Face.
README
Huggy - Trained Agent
Author: Vishand03
Model Type: Reinforcement Learning (PPO)
Environment: Custom Huggy Environment (ML-Agents)
Framework: ML-Agents + PyTorch
Description
This model is a trained Huggy agent using the PPO algorithm.
It learns to navigate and complete tasks in the Huggy environment.
Training Details
- Trainer: PPO
- Steps: ~800,000 (can be resumed)
- Reward: ~3.9 mean reward at the last checkpoint
- Hyperparameters:
- Batch size: 4096
- Buffer size: 40960
- Learning rate: 0.0001
- Gamma: 0.995
- Lambda: 0.95
Usage
from mlagents_envs.environment import UnityEnvironment
from mlagents_envs.base_env import ActionTuple
import onnxruntime as ort
env = UnityEnvironment(file_name="Huggy.x86_64", no_graphics=True)
# Load model
session = ort.InferenceSession("Huggy-799913.onnx")
# Continue with your inference pipeline...
Files (3)
Related models
More from Vishand03
No other models by this author.
More models
No task type declared.