Worm-Unity-ML Open-Source Game Model - Free Support for Intelligent Strategy Training of Worm Games

Worm Unity ML

Developed by comodoro

This is a PPO agent model trained using the Unity ML-Agents library, specifically designed for the Worm game environment.

Downloads 14

Release Time : 8/2/2022

Model Overview

This model is a reinforcement learning agent based on the PPO algorithm, trained to play in Unity's Worm game environment.

Based on PPO Algorithm

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

Unity ML-Agents Integration

Fully compatible with the Unity ML-Agents library for easy deployment and use in Unity environments.

Live Demo

Supports real-time viewing of the agent's gameplay performance in a browser.

Game Control

Reinforcement Learning Decision-Making

Environment Interaction

Game AI

Worm Game AI

Acts as an intelligent agent in the Worm game, capable of autonomous gameplay decisions.

Can run smoothly in Unity and complete game tasks.

Reinforcement Learning Research

PPO Algorithm Validation

Serves as an implementation case of the PPO algorithm in a game environment.

Validates the effectiveness of the PPO algorithm in game control tasks.

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