Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Gallotta, Roberto"'
Autor:
Barthet, Matthew, Gallotta, Roberto, Khalifa, Ahmed, Liapis, Antonios, Yannakakis, Georgios N.
Game environments offer a unique opportunity for training virtual agents due to their interactive nature, which provides diverse play traces and affect labels. Despite their potential, no reinforcement learning framework incorporates human affect mod
Externí odkaz:
http://arxiv.org/abs/2407.18316
Autonomously tailoring content to a set of predetermined affective patterns has long been considered the holy grail of affect-aware human-computer interaction at large. The experience-driven procedural content generation framework realises this visio
Externí odkaz:
http://arxiv.org/abs/2408.06346
Evolutionary search via the quality-diversity (QD) paradigm can discover highly performing solutions in different behavioural niches, showing considerable potential in complex real-world scenarios such as evolutionary robotics. Yet most QD methods on
Externí odkaz:
http://arxiv.org/abs/2404.05769
Autor:
Gallotta, Roberto, Todd, Graham, Zammit, Marvin, Earle, Sam, Liapis, Antonios, Togelius, Julian, Yannakakis, Georgios N.
Recent years have seen an explosive increase in research on large language models (LLMs), and accompanying public engagement on the topic. While starting as a niche area within natural language processing, LLMs have shown remarkable potential across
Externí odkaz:
http://arxiv.org/abs/2402.18659
In mixed-initiative co-creation tasks, wherein a human and a machine jointly create items, it is important to provide multiple relevant suggestions to the designer. Quality-diversity algorithms are commonly used for this purpose, as they can provide
Externí odkaz:
http://arxiv.org/abs/2210.13839
When generating content for video games using procedural content generation (PCG), the goal is to create functional assets of high quality. Prior work has commonly leveraged the feasible-infeasible two-population (FI-2Pop) constrained optimisation al
Externí odkaz:
http://arxiv.org/abs/2205.05834
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.