State estimation consists of updating an agent’s belief given executed actions and observed evidence to date. In single agent environments, the state estimation can be formalize...
Embodied conversational agents become more and more realistic concerning their conversational and their nonverbal behaviors. But if the information conveyed nonverbally exhibits c...
This paper describes a case study of VR platform Magic Mirror and its applications that are economic in development process and cost, flexible by contents and installation conditi...
This paper presents a multi-agent reinforcement learning bidding approach (MARLBS) for performing multi-agent reinforcement learning. MARLBS integrates reinforcement learning, bid...
In the past, architectures of Augmented Reality systems have been widely different and taylored to specific tasks. In this paper, we use the example of the SHEEP game to show how...
Asa MacWilliams, Christian Sandor, Martin Wagner, ...