PushBlock Open Source Reinforcement Learning Agent - Free to Help Complete Unity Environment Tasks

Pushblock

Developed by mrm8488

This is a reinforcement learning agent based on the PPO algorithm, specifically trained to complete tasks in Unity's PushBlock environment.

Downloads 35

Release Time : 8/7/2022

Model Overview

This model is trained using the Unity ML-Agents library and can learn strategies for pushing boxes in the PushBlock environment.

Based on PPO Algorithm

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

Unity Environment Integration

Designed specifically for Unity's ML-Agents environment, it can be seamlessly integrated into Unity projects.

Visual Demonstration

Supports watching the agent's gameplay performance directly in the browser.

Sokoban Task

Reinforcement Learning Decision Making

Unity Environment Interaction

Game AI

Sokoban Game AI

Can serve as an AI opponent or demo character for Sokoban-style games.

Capable of completing basic Sokoban tasks

Educational Demonstration

Reinforcement Learning Teaching

Can be used to demonstrate the application of the PPO algorithm in simple environments.

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