Reinforcement learning is an effective machine learning paradigm in domains represented by compact and discrete state-action spaces. In high-dimensional and continuous domains, ti...
Entertainment animatronics has traditionally been a discipline devoid of interactivity. Previously, we brought interactivity to this field by creating a suite of content authoring...
Seema Patel, William Bosley, David Culyba, Sabrina...
The creation of life-like believable characters is emerging as the central focus of next-generation game development and is viewed as critical to obtaining true mass-market appeal...
1 In this document, we describe our work applying natural language (NL) technologies to improve non-player character (NPC) dialog interactions in games, specifically role-playing g...
Learning how to defeat human players is a challenging task in today's commercial computer games. This paper suggests a goal-directed hierarchical dynamic scripting approach f...
Online role playing games may be enjoyed periodically for months or years at a time. Players often log onto the game and play for a short time, and then log off for a long period ...