In this article, we propose an approach of nonverbal interaction with virtual agents to control agents' behavioral expressivity by extracting and combining acoustic and gestu...
Matthias Rehm, Thurid Vogt, Michael Wissner, Nikol...
In this paper we present our current work on an embodied conversational agent for training medical bad news conversations and discuss the inspiration gained from previous work of o...
We consider a setting in which a principal seeks to induce an adaptive agent to select a target action by providing incentives on one or more actions. The agent maintains a belief...
Yiling Chen, Jerry Kung, David C. Parkes, Ariel D....
Active object exploration is one of the hallmarks of human and animal intelligence. Research in psychology has shown that the use of multiple exploratory behaviors is crucial for ...
In this paper, we investigate the hypothesis that plan recognition can significantly improve the performance of a casebased reinforcement learner in an adversarial action selectio...