2 citations · 2 across the 12 of their papers we have counts for
5 papers · 1 filter
Learning Explainable Representations of Complex Game-playing Strategies
Abhijeet Krishnan, Colin M. Potts, Arnav Jhala +3
As part of learning to play complex games, human players develop develop abstractions for concepts and strategies of gameplay consistent with game rules to improve their performanc…
Minding Motivation: The Effect of Intrinsic Motivation on Agent Behaviors
Leonardo Villalobos-Arias, Grant Forbes, Jianxun Wang +2
Games are challenging for Reinforcement Learning~(RL) agents due to their reward-sparsity, as rewards are only obtainable after long sequences of deliberate actions. Intrinsic Moti…
Collaborative Comic Generation: Integrating Visual Narrative Theories with AI Models for Enhanced Creativity
Yi-Chun Chen, Arnav Jhala
This study presents a theory-inspired visual narrative generative system that integrates conceptual principles-comic authoring idioms-with generative and language models to enhance…
A Customizable Generator for Comic-Style Visual Narrative
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 integr…
Panel Transitions for Genre Analysis in Visual Narratives
Yi-Chun Chen, Arnav Jhala
Understanding how humans communicate and perceive narratives is important for media technology research and development. This is particularly important in current times when there…