Project Malmo is a platform for Artificial Intelligence experimentation and research built on top of Minecraft. We aim to inspire a new generation of research into challenging new problems presented by this unique environment. --- For installation instructions, scroll down to *Getting Started* below, or visit the project page for more information:

Minecraft environment for Open AI Gym, based on Microsoft's Malmo.

Multi Agent Reinforcement Learning using MalmÖ

Task and example code for the Malmo Collaborative AI Challenge

Underverk's 3D printer is a fork of a wooden Prusa i3 made by Arduino Verkstad for the 3D printing workshops to be held at FBRKN, STPLN, Malmo, Sweden.

Malmo Challenge

Malmo Collaborative AI Challenge - Team Pig Catcher

PSConfEU 2025 - Malmö

Solving The Malmo Collaborative AI Challenge

tensorflow deep RL hacking on minecraft with malmo

Rational OpenCog Controlled Agent (ROCCA). Use OpenCog to control a rational agent in OpenAI Gym and Malmo environments.

Astrology, tarot cards and numerology SPA created with React and TypeScript. Final project for class M11 at FooCoding in Malmö.

Repository for Malmo Challenge

Platform Design is the repository including the text created by D. Cuartielles for his doctoral dissertation published by Malmo University Press in 2018. This content is licensed under CC BY-SA-NC 4.0

Ruby on Rails based intranet dashboard and staff directory for employees at City of Malmö

A framework for training Reinforcement Learning agents in Minecraft with Project Malmö

Applying Reinforcement Learning in Minecraft - Project Malmo Tutorial (Mar 2021)

Malmö challenge

Malmod

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Diseño de robot basado en el Escornabot, completamente hecho en KiCAD. Con amor para todo el mundo desde Malmo - Suecia.

Public platform for Open Educational Resources (OER) from Malmö Universitet (MaU)

Malmö Open Device Lab

Materials for the PowerShell ScriptBlock Talk at psconf.eu 2025 in Malmö

AI agent for the computer game Minecraft

An experimentation environment based on malmö, stable-baselines and py-trees

Applies the Deep Q Learning algorithm using a convolutional neural network to have an agent learn to fight zombies in a closed minecraft environment. This is done using Microsoft's Project Malmo (to create the environment) and tensorflow/keras to structure the network.

Project done during the second semester @ Malmö University.

malmopy: a Python library for working with Project Malmo

A RESTful Web API written in Javascript (NodeJS, ExpressJS) to allow students at Malmö university easy access to book rooms at Niagara