Partially Observable Markov Decision Processes (POMDP) provide a standard framework for sequential decision making in stochastic environments. In this setting, an agent takes actio...
In this paper, we propose an observable-area model of the scene for real-time cooperative object tracking by multiple cameras. The knowledge of partners’ abilities is necessary ...
We provide a novel view of learning an approximate model of a partially observable environment from data and present a simple implemenf the idea. The learned model abstracts away ...
This paper deals with the on-line monitoring of large systems modeled as Petri Nets under partial observation. The plant observation is given by a subset of transitions whose occu...
Existing middleware platforms for multi-agent systems (MAS) do not provide general support for observation. On the other hand, observation is considered to be an important mechani...
Joonas Kesaniemi, Artem Katasonov, Vagan Y. Terziy...