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JAIR
2011
144views more  JAIR 2011»
15 years 1 months ago
Non-Deterministic Policies in Markovian Decision Processes
Markovian processes have long been used to model stochastic environments. Reinforcement learning has emerged as a framework to solve sequential planning and decision-making proble...
Mahdi Milani Fard, Joelle Pineau
KDD
2012
ACM
179views Data Mining» more  KDD 2012»
13 years 9 months ago
Web image prediction using multivariate point processes
In this paper, we investigate a problem of predicting what images are likely to appear on the Web at a future time point, given a query word and a database of historical image str...
Gunhee Kim, Fei-Fei Li, Eric P. Xing
CDC
2009
IEEE
134views Control Systems» more  CDC 2009»
15 years 11 months ago
On LQG joint optimal scheduling and control under communication constraints
Abstract— In this paper, we consider a discrete-time stochastic system, where sensor measurements are sent over a network to the controller. The design objective is a non-classic...
Adam Molin, Sandra Hirche
INFORMS
1998
142views more  INFORMS 1998»
15 years 6 months ago
Distributed State Space Generation of Discrete-State Stochastic Models
High-level formalisms such as stochastic Petri nets can be used to model complex systems. Analysis of logical and numerical properties of these models often requires the generatio...
Gianfranco Ciardo, Joshua Gluckman, David M. Nicol
ISSS
1999
IEEE
121views Hardware» more  ISSS 1999»
15 years 11 months ago
Event-Driven Power Management of Portable Systems
The policy optimization problem for dynamic power management has received considerable attention in the recent past. We formulate policy optimization as a constrained optimization...
Tajana Simunic, Giovanni De Micheli, Luca Benini