MLAgents-Worm Open-Source Model - Free for Agent Training in the Worm Game Environment

Mlagents Worm

Developed by infinitejoy

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

Downloads 19

Release Time : 7/11/2022

Model Overview

The model uses the PPO algorithm to train in Unity's Worm game environment and can control the worm character to complete specific tasks.

Trained with Unity ML-Agents

Trained using Unity's official ML-Agents framework, compatible with Unity game environments.

PPO Algorithm Implementation

Utilizes the Proximal Policy Optimization algorithm, a stable reinforcement learning algorithm.

Game Control Capability

Can control the worm character in the Worm game to move and make decisions.

Game Character Control

Reinforcement Learning Decision-Making

Environment Interaction

Game AI

Worm Game Agent

Controls the worm character to complete specific tasks in the game environment.

Reinforcement Learning Research

PPO Algorithm Validation

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

Featured Recommended AI Models

Empowering the Future, Your AI Solution Knowledge Base