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» Pure Stationary Optimal Strategies in Markov Decision Proces...
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AAAI
2006
13 years 9 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»
14 years 2 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
13 years 9 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
14 years 17 days 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»
13 years 11 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...