test_worm Open-Source Reinforcement Learning Agent - Free Support for Unity Worm Game Training

Test Worm

Developed by damilare-akin

This is a reinforcement learning agent based on the PPO algorithm, specifically trained for Unity's worm game.

Downloads 15

Release Time : 10/17/2022

Model Overview

The model is trained using the Unity ML-Agents library and can autonomously learn and make decisions in the worm game.

Based on PPO Algorithm

Trained using the Proximal Policy Optimization algorithm, an advanced reinforcement learning algorithm.

Unity ML-Agents Integration

Fully compatible with the Unity ML-Agents framework, making it easy to deploy and use in Unity environments.

Real-time Game Demo

Supports viewing real-time game demos through Hugging Face Spaces.

Worm Game Control

Reinforcement Learning Decision Making

Game Environment Adaptation

Game AI

Worm Game AI

Acts as an intelligent opponent or automated player in the worm game

Capable of autonomously completing game tasks

Reinforcement Learning Research

PPO Algorithm Demonstration

Demonstrates the application effects of the PPO algorithm in a game environment

Featured Recommended AI Models

Empowering the Future, Your AI Solution Knowledge Base