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Mlagents Worm
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Mlagents Worm

Developed by danieladejumo
This is a PPO agent model trained using the Unity ML-Agents library, specifically designed for the Worm game.
Multimodal Fusion
TensorBoard
#Unity Game AI#Deep Reinforcement Learning#PPO Algorithm
Downloads 17
Release Time : 8/22/2022

Model Overview

This model is a deep reinforcement learning agent based on the PPO algorithm, trained to make autonomous decisions and actions in the Worm game.

Model Features

Based on PPO Algorithm
Trained using the Proximal Policy Optimization algorithm to ensure stable policy updates.
Unity ML-Agents Integration
Fully compatible with the Unity ML-Agents framework, making it easy to deploy and use in Unity environments.
Game AI Control
An agent specifically designed for the Worm game, capable of autonomous game decision-making and control.

Model Capabilities

Game Decision Making
Autonomous Control
Reinforcement Learning

Use Cases

Game AI
Worm Game AI
Acts as an AI opponent or demo character in the Worm game
Capable of autonomously completing game tasks
Reinforcement Learning Research
PPO Algorithm Demonstration
Demonstrates the application of the PPO algorithm in a game environment
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