This paper deals with fair assignment problems in decision contexts involving multiple agents. In such problems, each agent has its own evaluation of costs and we want to find a f...
In many multiagent settings, situations arise in which agents must collectively make decisions while not every agent is supposed to have an equal amount of influence in the outcom...
Self configuring VLSI technology architectures offer a new environment for creating novel security functions. Two such functions for physical security architectures are proposed t...
We present new algorithms for inverse optimal control (or inverse reinforcement learning, IRL) within the framework of linearlysolvable MDPs (LMDPs). Unlike most prior IRL algorit...
One of the major goals of ontology is to represent properly the underlying conceptual structure of the messy world reflecting the reality as much as possible. Ontology building to...