This paper extends previous research by proposing a model that can help explain ways to motivate member contributions to online communities (OCs). New features in the model will a...
Steven J. J. Tedjamulia, Douglas L. Dean, David R....
We provide an analytical comparison between discounted and average reward temporal-difference (TD) learning with linearly parameterized approximations. We first consider the asympt...
— Leveraging research by psychologists on human decision-making, we present a human-robot decision-making problem associated with a complex task and study the corresponding joint...
Ming Cao, Andrew Reed Stewart, Naomi Ehrich Leonar...
We consider the problem of designing automated strategies for interactions with human subjects, where the humans must be rewarded for performing certain tasks of interest. We focu...
Abstract. This paper describes a highly modular hierarchical behaviorbased control system for robots. Key features of the architecture include: easy addition/removal of behaviors, ...