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» Pure Stationary Optimal Strategies in Markov Decision Proces...
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AAAI
2006
15 years 1 months ago
Incremental Least Squares Policy Iteration for POMDPs
We present a new algorithm, called incremental least squares policy iteration (ILSPI), for finding the infinite-horizon stationary policy for partially observable Markov decision ...
Hui Li, Xuejun Liao, Lawrence Carin
VTC
2008
IEEE
185views Communications» more  VTC 2008»
15 years 6 months ago
Opportunistic Spectrum Access for Energy-Constrained Cognitive Radios
This paper considers a scenario in which a secondary user makes opportunistic use of a channel allocated to some primary network. The primary network operates in a time-slotted ma...
Anh Tuan Hoang, Ying-Chang Liang, David Tung Chong...
AAAI
2004
15 years 1 months ago
Dynamic Programming for Partially Observable Stochastic Games
We develop an exact dynamic programming algorithm for partially observable stochastic games (POSGs). The algorithm is a synthesis of dynamic programming for partially observable M...
Eric A. Hansen, Daniel S. Bernstein, Shlomo Zilber...
IPPS
2002
IEEE
15 years 4 months ago
Optimal Remapping in Dynamic Bulk Synchronous Computations via a Stochastic Control Approach
A bulk synchronous computation proceeds in phases that are separated by barrier synchronization. For dynamic bulk synchronous computations that exhibit varying phase-wise computat...
Gang George Yin, Cheng-Zhong Xu, Le Yi Wang
CAV
2010
Springer
190views Hardware» more  CAV 2010»
15 years 3 months ago
Measuring and Synthesizing Systems in Probabilistic Environments
Often one has a preference order among the different systems that satisfy a given specification. Under a probabilistic assumption about the possible inputs, such a preference order...
Krishnendu Chatterjee, Thomas A. Henzinger, Barbar...