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CORR
2010
Springer
112views Education» more  CORR 2010»
13 years 10 months ago
Efficient Approximation of Optimal Control for Markov Games
The success of probabilistic model checking for discrete-time Markov decision processes and continuous-time Markov chains has led to rich academic and industrial applications. The ...
Markus Rabe, Sven Schewe, Lijun Zhang
ICISS
2009
Springer
13 years 7 months ago
Method-Specific Java Access Control via RMI Proxy Objects Using Annotations
We propose a novel approach for granting partial access on arbitrary objects at the granularity of methods to remote clients. The applications that we target use Remote Method Invo...
Jeff Zarnett, Patrick Lam, Mahesh V. Tripunitara
CDC
2008
IEEE
118views Control Systems» more  CDC 2008»
14 years 4 months ago
A density projection approach to dimension reduction for continuous-state POMDPs
Abstract— Research on numerical solution methods for partially observable Markov decision processes (POMDPs) has primarily focused on discrete-state models, and these algorithms ...
Enlu Zhou, Michael C. Fu, Steven I. Marcus
ICANN
2007
Springer
14 years 4 months ago
Solving Deep Memory POMDPs with Recurrent Policy Gradients
Abstract. This paper presents Recurrent Policy Gradients, a modelfree reinforcement learning (RL) method creating limited-memory stochastic policies for partially observable Markov...
Daan Wierstra, Alexander Förster, Jan Peters,...
WIA
2004
Springer
14 years 3 months ago
Brute Force Determinization of NFAs by Means of State Covers
Finite automata determinization is a critical operation for numerous practical applications such as regular expression search. Algorithms have to deal with the possible blow up of ...
Jean-Marc Champarnaud, Fabien Coulon, Thomas Paran...