This paper involves a human-agent system in which there is an operator charged with a pattern recognition task, using an automated decision aid. The objective is to make this huma...
Peter-Paul van Maanen, Tomas Klos, Kees van Dongen
We present a model of access control which provides fine-grained data-dependent control, can express permissions about permissions, can express delegation, and can describe syste...
Dimitar P. Guelev, Mark Ryan, Pierre-Yves Schobben...
Transfer learning is the ability of an agent to apply knowledge learned in previous tasks to new problems or domains. We approach this problem by focusing on model formulation, i....
We present a model-checking algorithm which can be used to evaluate access control policies, and a tool which implements it. The evaluation includes not only assessing whether the ...
Recent advancements in model-based reinforcement learning have shown that the dynamics of many structured domains (e.g. DBNs) can be learned with tractable sample complexity, desp...
Thomas J. Walsh, Sergiu Goschin, Michael L. Littma...