b'Ahmed Khalifa'

research

∙ 08/16/2023

A Preliminary Study on a Conceptual Game Feature Generation and Recommendation System

This paper introduces a system used to generate game feature suggestions...

0 M Charity, et al. ∙

research

∙ 08/03/2023

Lode Enhancer: Level Co-creation Through Scaling

We explore AI-powered upscaling as a design assistance tool in the conte...

0 Debosmita Bhaumik, et al. ∙

research

∙ 08/02/2023

Lode Encoder: AI-constrained co-creativity

We present Lode Encoder, a gamified mixed-initiative level creation syst...

0 Debosmita Bhaumik, et al. ∙

research

∙ 05/29/2023

Controllable Path of Destruction

Path of Destruction (PoD) is a self-supervised method for learning itera...

5 Matthew Siper, et al. ∙

research

∙ 08/26/2022

Play with Emotion: Affect-Driven Reinforcement Learning

This paper introduces a paradigm shift by viewing the task of affect mod...

23 Matthew Barthet, et al. ∙

research

∙ 08/26/2022

Generative Personas That Behave and Experience Like Humans

Using artificial intelligence (AI) to automatically test a game remains ...

7 Matthew Barthet, et al. ∙

research

∙ 06/11/2022

Mutation Models: Learning to Generate Levels by Imitating Evolution

Search-based procedural content generation (PCG) is a well-known method ...

6 Ahmed Khalifa, et al. ∙

research

∙ 04/11/2022

Persona-driven Dominant/Submissive Map (PDSM) Generation for Tutorials

In this paper, we present a method for automated persona-driven video ga...

2 Michael Cerny Green, et al. ∙

research

∙ 03/24/2022

Predicting Personas Using Mechanic Frequencies and Game State Traces

We investigate how to efficiently predict play personas based on playtra...

1 Michael Cerny Green, et al. ∙

research

∙ 03/03/2022

Baba is Y'all 2.0: Design and Investigation of a Collaborative Mixed-Initiative System

This paper describes a new version of the mixed-initiative collaborative...

0 M Charity, et al. ∙

research

∙ 02/21/2022

Path of Destruction: Learning an Iterative Level Generator Using a Small Dataset

We propose a new procedural content generation method which learns itera...

17 Matthew Siper, et al. ∙

research

∙ 05/06/2021

Learning Controllable Content Generators

It has recently been shown that reinforcement learning can be used to tr...

16 Sam Earle, et al. ∙

research

∙ 02/20/2021

Game Mechanic Alignment Theory and Discovery

We present a new concept called Game Mechanic Alignment theory as a way ...

10 Michael Cerny Green, et al. ∙

research

∙ 10/09/2020

Deep Learning for Procedural Content Generation

Procedural content generation in video games has a long history. Existin...

28 Jialin Liu, et al. ∙

research

∙ 08/06/2020

Mixed-Initiative Level Design with RL Brush

This paper introduces RL Brush, a level-editing tool for tile-based game...

7 Omar Delarosa, et al. ∙

research

∙ 07/11/2020

Illuminating Mario Scenes in the Latent Space of a Generative Adversarial Network

Recent developments in machine learning techniques have allowed automati...

6 Matthew C. Fontaine, et al. ∙

research

∙ 05/17/2020

Multi-Objective level generator generation with Marahel

This paper introduces a new system to design constructive level generato...

24 Ahmed Khalifa, et al. ∙

research

∙ 03/31/2020

Baba is Y'all: Collaborative Mixed-Initiative Level Design

We present a collaborative mixed-initiative system for building levels f...

0 Megan Charity, et al. ∙

research

∙ 02/11/2020

Mech-Elites: Illuminating the Mechanic Space of GVGAI

This paper introduces a fully automatic method of mechanic illumination ...

18 Megan Charity, et al. ∙

research

∙ 02/07/2020

Mario Level Generation From Mechanics Using Scene Stitching

This paper presents a level generation method for Super Mario by stitchi...

53 Michael Cerny Green, et al. ∙

research

∙ 01/27/2020

Rotation, Translation, and Cropping for Zero-Shot Generalization

Deep Reinforcement Learning (DRL) has shown impressive performance on do...

5 Chang Ye, et al. ∙

research

∙ 01/24/2020

PCGRL: Procedural Content Generation via Reinforcement Learning

We investigate how reinforcement learning can be used to train level-des...

14 Ahmed Khalifa, et al. ∙

research

∙ 10/03/2019

Bootstrapping Conditional GANs for Video Game Level Generation

Generative Adversarial Networks (GANs) have shown im-pressive results fo...

21 Ruben Rodriguez Torrado, et al. ∙

research

∙ 09/06/2019

Automatic Critical Mechanic Discovery in Video Games

We present a system that automatically discovers critical mechanics in a...

11 Michael Cerny Green, et al. ∙

research

∙ 08/12/2019

Superstition in the Network: Deep Reinforcement Learning Plays Deceptive Games

Deep reinforcement learning has learned to play many games well, but fai...

9 Philip Bontrager, et al. ∙

research

∙ 07/09/2019

Procedural Content Generation through Quality Diversity

Quality-diversity (QD) algorithms search for a set of good solutions whi...

3 Daniele Gravina, et al. ∙

research

∙ 06/12/2019

General Video Game Rule Generation

We introduce the General Video Game Rule Generation problem, and the epo...

10 Ahmed Khalifa, et al. ∙

research

∙ 06/11/2019

Two-step Constructive Approaches for Dungeon Generation

This paper presents a two-step generative approach for creating dungeons...

10 Michael Cerny Green, et al. ∙

research

∙ 05/15/2019

ELIMINATION from Design to Analysis

Elimination is a word puzzle game for browsers and mobile devices, where...

4 Ahmed Khalifa, et al. ∙

research

∙ 04/18/2019

Intentional Computational Level Design

The procedural generation of levels and content in video games is a chal...

12 Ahmed Khalifa, et al. ∙

research

∙ 04/11/2019

Controller Design and Implementation of a New Quadrotor Manipulation System

The previously introduced aerial manipulation systems suffer from either...

0 Ahmed Khalifa, et al. ∙

research

∙ 04/10/2019

Novel Quadrotor Manipulation System

This thesis introduces a novel quadrotor manipulation system that consis...

0 Ahmed Khalifa, et al. ∙

research

∙ 03/29/2019

Quadrotor Manipulation System: Development of a Robust Contact Force Estimation and Impedance Control Scheme Based on DOb and FTRLS

The research on aerial manipulation systems has been increased rapidly i...

0 Ahmed Khalifa, et al. ∙

research

∙ 03/28/2019

Experimental Implementation of a New Non-redundant 6-DOF Quadrotor Manipulation System

This paper presents an experimental validation of a new quadrotor-based ...

0 Ahmed Khalifa, et al. ∙

research

∙ 03/27/2019

Tree Search vs Optimization Approaches for Map Generation

Search-based procedural content generation uses stochastic global optimi...

8 Debosmita Bhaumik, et al. ∙

research

∙ 02/04/2019

Obstacle Tower: A Generalization Challenge in Vision, Control, and Planning

The rapid pace of research in Deep Reinforcement Learning has been drive...

18 Arthur Juliani, et al. ∙

research

∙ 09/09/2018

A Continuous Information Gain Measure to Find the Most Discriminatory Problems for AI Benchmarking

This paper introduces an information-theoretic method for selecting a sm...

0 Matthew Stephenson, et al. ∙

research

∙ 07/18/2018

Generating Levels That Teach Mechanics

The automatic generation of game tutorials is a challenging AI problem. ...

4 Michael Cerny Green, et al. ∙

research

∙ 07/11/2018

AtDelfi: Automatically Designing Legible, Full Instructions For Games

This paper introduces a fully automatic method for generating video game...

12 Michael Cerny Green, et al. ∙

research

∙ 06/28/2018

Procedural Level Generation Improves Generality of Deep Reinforcement Learning

Over the last few years, deep reinforcement learning (RL) has shown impr...

4 Niels Justesen, et al. ∙

research

∙ 06/12/2018

Talakat: Bullet Hell Generation through Constrained Map-Elites

We describe a search-based approach to generating new levels for bullet ...

0 Ahmed Khalifa, et al. ∙

research

∙ 05/30/2018

"Press Space to Fire": Automatic Video Game Tutorial Generation

We propose the problem of tutorial generation for games, i.e. to generat...

0 Michael Cerny Green, et al. ∙

research

∙ 02/28/2018

General Video Game AI: a Multi-Track Framework for Evaluating Agents, Games and Content Generation Algorithms

General Video Game Playing (GVGP) aims at designing an agent that is cap...

0 Diego Pérez-Liébana, et al. ∙

research

∙ 05/09/2017

DeepTingle

DeepTingle is a text prediction and classification system trained on the...

0 Ahmed Khalifa, et al. ∙

Ahmed Khalifa

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