no code implementations • 12 Feb 2024 • Grant C. Forbes, Nitish Gupta, Leonardo Villalobos-Arias, Colin M. Potts, Arnav Jhala, David L. Roberts
Recently there has been a proliferation of intrinsic motivation (IM) reward-shaping methods to learn in complex and sparse-reward environments.
no code implementations • 14 Dec 2023 • Yi-Chun Chen, Arnav Jhala
Our contributions to the community are: a dataset of annotated manga books, a multi-modal analysis of visual panels and text in a constrained and popular medium through high-level features, and a systematic process for incorporating subjective narrative patterns in computational models.
no code implementations • 14 Dec 2023 • Yi-Chun Chen, Arnav Jhala
Among static visual narratives such as comics and manga, there are distinct visual styles in terms of presentation.
no code implementations • 14 Dec 2023 • Yi-Chun Chen, Arnav Jhala
We present a theory-inspired visual narrative generator that incorporates comic-authoring idioms, which transfers the conceptual principles of comics into system layers that integrate the theories to create comic content.
no code implementations • 8 Dec 2023 • Leonardo Villalobos-Arias, Derek Martin, Abhijeet Krishnan, Madeleine Gagné, Colin M. Potts, Arnav Jhala
Our literature mapping covers literature from the last 5 years (2017-2022), from a variety of knowledge areas (AI, finance, engineering, medicine) where RL approaches emphasize risk representation and management.
no code implementations • 27 Jul 2022 • Manuel Guimarães, Pedro A. Santos, Arnav Jhala
This work presents an implementation of a social architecture model for authoring Non-Player Character (NPC) in open world games inspired in academic research on agentbased modeling.