We consider reinforcement learning in the parameterized setup, where the model is known to belong to a parameterized family of Markov Decision Processes (MDPs). We further impose ...
Abstract. Modern information systems require temporal and privilegeconsuming usage of digital objects. To meet these requirements, we present a new access control model–Times-bas...
Baoxian Zhao, Ravi S. Sandhu, Xinwen Zhang, Xiaoli...
Architectural blueprints offer a concise, clear and high-level description of the structure of a building. On the other hand, state of the art reconstruction pipelines can nowaday...
Michela Farenzena, Andrea Fusiello, Riccardo Ghera...
Markov decision processes (MDPs) with discrete and continuous state and action components can be solved efficiently by hybrid approximate linear programming (HALP). The main idea ...
We present a new algorithm for probabilistic planning with no observability. Our algorithm, called Probabilistic-FF, extends the heuristic forward-search machinery of Conformant-F...