testpyramidsrnd Open-Source Reinforcement Learning Agent - Free for Training in Unity ML-Agents Pyramid Environment

Testpyramidsrnd

Developed by RaphaelReinauer

This is a reinforcement learning agent based on the PPO algorithm, specifically trained for Unity's ML-Agents pyramid environment.

Object Detection

TensorBoard

#Unity Reinforcement Learning #3D Environment Navigation #PPO Algorithm Optimization

Downloads 21

Release Time : 7/15/2022

Model Overview

This model uses the PPO (Proximal Policy Optimization) algorithm to train in Unity's ML-Agents pyramid environment, enabling navigation and task completion in this 3D environment.

Model Features

Unity Environment Integration

Designed specifically for Unity's ML-Agents pyramid environment, seamlessly integrates with Unity.

PPO Algorithm

Utilizes the Proximal Policy Optimization algorithm to balance exploration and exploitation.

3D Navigation Capability

Capable of navigating and completing tasks in complex 3D pyramid environments.

Model Capabilities

3D Environment Navigation

Reinforcement Learning Decision Making

Unity Environment Interaction

Use Cases

Game AI

Automatic Navigation

Automatically finds paths in 3D game environments.

Capable of completing navigation tasks in the pyramid environment.

Robot Simulation

Virtual Robot Training

Used to train virtual robots for mobility in complex environments.

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Testpyramidsrnd

Model Overview

Model Features

Model Capabilities

Use Cases

🚀 PPO Agent Playing Pyramids

🚀 Quick Start

✨ Features

📦 Installation

💻 Usage Examples

Usage (with ML-Agents)

Resume the training

Watch your Agent play