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NIPS
2003
14 years 11 months ago
Linear Program Approximations for Factored Continuous-State Markov Decision Processes
Approximate linear programming (ALP) has emerged recently as one of the most promising methods for solving complex factored MDPs with finite state spaces. In this work we show th...
Milos Hauskrecht, Branislav Kveton
88
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ECML
2005
Springer
15 years 3 months ago
Using Rewards for Belief State Updates in Partially Observable Markov Decision Processes
Partially Observable Markov Decision Processes (POMDP) provide a standard framework for sequential decision making in stochastic environments. In this setting, an agent takes actio...
Masoumeh T. Izadi, Doina Precup
AFRIGRAPH
2010
ACM
15 years 1 months ago
Visualization of solution sets from automated docking of molecular structures
Aligning structures, often referred to as docking or registration, is frequently required in fields such as computer science, robotics and structural biology. The task of alignin...
Johannes Jansen van Vuuren, Michelle Kuttel, James...
CORR
2010
Springer
127views Education» more  CORR 2010»
14 years 9 months ago
Mean field for Markov Decision Processes: from Discrete to Continuous Optimization
We study the convergence of Markov Decision Processes made of a large number of objects to optimization problems on ordinary differential equations (ODE). We show that the optimal...
Nicolas Gast, Bruno Gaujal, Jean-Yves Le Boudec
CORR
2010
Springer
98views Education» more  CORR 2010»
14 years 9 months ago
Structure-Aware Stochastic Control for Transmission Scheduling
In this report, we consider the problem of real-time transmission scheduling over time-varying channels. We first formulate the transmission scheduling problem as a Markov decisio...
Fangwen Fu, Mihaela van der Schaar