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EWRL
2008
15 years 8 months ago
Efficient Reinforcement Learning in Parameterized Models: Discrete Parameter Case
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 ...
Kirill Dyagilev, Shie Mannor, Nahum Shimkin
DBSEC
2007
87views Database» more  DBSEC 2007»
15 years 8 months ago
Towards a Times-Based Usage Control Model
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...
VMV
2008
131views Visualization» more  VMV 2008»
15 years 8 months ago
Towards unsupervised reconstruction of architectural models
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...
AIPS
2006
15 years 8 months ago
Solving Factored MDPs with Exponential-Family Transition Models
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 ...
Branislav Kveton, Milos Hauskrecht
AIPS
2006
15 years 8 months ago
Fast Probabilistic Planning through Weighted Model Counting
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...
Carmel Domshlak, Jörg Hoffmann