Abstract. Q-learning can be used to learn a control policy that maximises a scalar reward through interaction with the environment. Qlearning is commonly applied to problems with d...
Chris Gaskett, David Wettergreen, Alexander Zelins...
The WeSpace is a long-term project dedicated to the creation of environments supporting walkup and share collaboration among small groups. The focus of our system design has been ...
Hao Jiang, Daniel Wigdor, Clifton Forlines, Chia S...
State estimation in multiagent settings involves updating an agent’s belief over the physical states and the space of other agents’ models. Performance of the previous approac...
This paper presents an exploratory process in which three industrial usability groups, in cooperation with HCI researchers, worked to reframe their own work practice. The usabilit...
Emergent game formats, such as machinima, that use game worlds as expressive 3D performance spaces have new expressive powers with an increase of the quality of their underlying g...