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» Structure in the Space of Value Functions
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CDC
2008
IEEE
118views Control Systems» more  CDC 2008»
15 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
NIPS
2003
14 years 11 months ago
Gaussian Processes in Reinforcement Learning
We exploit some useful properties of Gaussian process (GP) regression models for reinforcement learning in continuous state spaces and discrete time. We demonstrate how the GP mod...
Carl Edward Rasmussen, Malte Kuss
SP
1998
IEEE
116views Security Privacy» more  SP 1998»
15 years 2 months ago
Strand Spaces: Why is a Security Protocol Correct?
A strand is a sequence of events; it represents either the execution of legitimate party in a security protocol or else a sequence of actions by a penetrator. A strand space is a ...
F. Javier Thayer, Jonathan C. Herzog, Joshua D. Gu...
SIAMCOMP
1998
141views more  SIAMCOMP 1998»
14 years 9 months ago
Randomized Data Structures for the Dynamic Closest-Pair Problem
We describe a new randomized data structure, the sparse partition, for solving the dynamic closest-pair problem. Using this data structure the closest pair of a set of n points in ...
Mordecai J. Golin, Rajeev Raman, Christian Schwarz...
PODS
2006
ACM
122views Database» more  PODS 2006»
15 years 10 months ago
Space- and time-efficient deterministic algorithms for biased quantiles over data streams
Skew is prevalent in data streams, and should be taken into account by algorithms that analyze the data. The problem of finding "biased quantiles"-- that is, approximate...
Graham Cormode, Flip Korn, S. Muthukrishnan, Dives...