activity
20142023
most citedProcedural Content Generation through Quality Diversity

125 citations · 485 across the 34 of their papers we have counts for

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Showing 2021Show all

16 papers · 1 filter

cs.HC2021

"What Artists Want": Elicitation of Artist Requirements to Feed the Design on a New Collaboration Platform for Creative Work

Angeliki Antoniou, Ioanna Lykourentzou, Antonios Liapis +2

Aiming at designing a decentralized platform to support grassroot initiatives for self-organized creative work, the present work solicited feedback from a group of visual artists r…

cs.HC2021

Towards General Models of Player Experience: A Study Within Genres

David Melhart, Antonios Liapis, Georgios N. Yannakakis

To which degree can abstract gameplay metrics capture the player experience in a general fashion within a game genre? In this comprehensive study we address this question across th…

cs.CV2021

AffectGAN: Affect-Based Generative Art Driven by Semantics

Theodoros Galanos, Antonios Liapis, Georgios N. Yannakakis

This paper introduces a novel method for generating artistic images that express particular affective states. Leveraging state-of-the-art deep learning methods for visual generatio…

cs.LG2021

Go-Blend behavior and affect

Matthew Barthet, Antonios Liapis, Georgios N. Yannakakis

This paper proposes a paradigm shift for affective computing by viewing the affect modeling task as a reinforcement learning process. According to our proposed framework the contex…

cs.HC2021

Privileged Information for Modeling Affect In The Wild

Konstantinos Makantasis, David Melhart, Antonios Liapis +1

A key challenge of affective computing research is discovering ways to reliably transfer affect models that are built in the laboratory to real world settings, namely in the wild.…

cs.CV2021

Contrastive Learning of Generalized Game Representations

Chintan Trivedi, Antonios Liapis, Georgios N. Yannakakis

Representing games through their pixels offers a promising approach for building general-purpose and versatile game models. While games are not merely images, neural network models…

cs.NE2021★ 12 cited

Monte Carlo Elites: Quality-Diversity Selection as a Multi-Armed Bandit Problem

Konstantinos Sfikas, Antonios Liapis, Georgios N. Yannakakis

A core challenge of evolutionary search is the need to balance between exploration of the search space and exploitation of highly fit regions. Quality-diversity search has explicit…

cs.NE2021★ 11 cited

ARCH-Elites: Quality-Diversity for Urban Design

Theodoros Galanos, Antonios Liapis, Georgios N. Yannakakis +1

This paper introduces ARCH-Elites, a MAP-Elites implementation that can reconfigure large-scale urban layouts at real-world locations via a pre-trained surrogate model instead of c…

cs.HC2021★ 36 cited

The Arousal video Game AnnotatIoN (AGAIN) Dataset

David Melhart, Antonios Liapis, Georgios N. Yannakakis

How can we model affect in a general fashion, across dissimilar tasks, and to which degree are such general representations of affect even possible? To address such questions and e…

cs.LG2021★ 11 cited

Pairing Character Classes in a Deathmatch Shooter Game via a Deep-Learning Surrogate Model

Daniel Karavolos, Antonios Liapis, Georgios N. Yannakakis

This paper introduces a surrogate model of gameplay that learns the mapping between different game facets, and applies it to a generative system which designs new content in one of…

cs.AI2021★ 8 cited

Playing Against the Board: Rolling Horizon Evolutionary Algorithms Against Pandemic

Konstantinos Sfikas, Antonios Liapis

Competitive board games have provided a rich and diverse testbed for artificial intelligence. This paper contends that collaborative board games pose a different challenge to artif…

cs.AI2021★ 15 cited

SuSketch: Surrogate Models of Gameplay as a Design Assistant

Panagiotis Migkotzidis, Antonios Liapis

This paper introduces SuSketch, a design tool for first person shooter levels. SuSketch provides the designer with gameplay predictions for two competing players of specific charac…

cs.AI2021★ 52 cited

Transforming Exploratory Creativity with DeLeNoX

Antonios Liapis, Hector P. Martinez, Julian Togelius +1

We introduce DeLeNoX (Deep Learning Novelty Explorer), a system that autonomously creates artifacts in constrained spaces according to its own evolving interestingness criterion. D…

cs.AI2021★ 25 cited

10 Years of the PCG workshop: Past and Future Trends

Antonios Liapis

As of 2020, the international workshop on Procedural Content Generation enters its second decade. The annual workshop, hosted by the international conference on the Foundations of…

cs.AI2021★ 12 cited

Collaborative Agent Gameplay in the Pandemic Board Game

Konstantinos Sfikas, Antonios Liapis

While artificial intelligence has been applied to control players' decisions in board games for over half a century, little attention is given to games with no player competition.…

cs.HC2021★ 50 cited

The Pixels and Sounds of Emotion: General-Purpose Representations of Arousal in Games

Konstantinos Makantasis, Antonios Liapis, Georgios N. Yannakakis

What if emotion could be captured in a general and subject-agnostic fashion? Is it possible, for instance, to design general-purpose representations that detect affect solely from…