This paper describes a proposal to build an intelligent feedback selection system for Virtual Reality-based training simulators. The system is aimed at generating multimodal feedb...
Maite Lopez-Garate, Alberto Lozano-Rodero, Luis M....
Use of tags to limit partner selection for playing has been shown to produce stable cooperation in agent populations playing the Prisoner’s Dilemma game. There is, however, a lac...
The paper describes an approach for an aggregated animation of a simulation experiment in an interactive 3D environment, visualizing multiple, distributed simulation runs. Althoug...
Wilhelm Dangelmaier, Matthias Fischer, Daniel Hube...
In this paper, we investigate the use of hierarchical reinforcement learning (HRL) to speed up the acquisition of cooperative multi-agent tasks. We introduce a hierarchical multi-a...
Rajbala Makar, Sridhar Mahadevan, Mohammad Ghavamz...
In this paper, we present a new trajectory planning algorithm for virtual humans. Our approach focuses on implicit cooperation between multiple virtual agents in order to share th...