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AAAI
1994
13 years 8 months ago
Control Strategies for a Stochastic Planner
We present new algorithms for local planning over Markov decision processes. The base-level algorithm possesses several interesting features for control of computation, based on s...
Jonathan Tash, Stuart J. Russell
CDC
2009
IEEE
147views Control Systems» more  CDC 2009»
14 years 4 days ago
A simulation-based method for aggregating Markov chains
— This paper addresses model reduction for a Markov chain on a large state space. A simulation-based framework is introduced to perform state aggregation of the Markov chain base...
Kun Deng, Prashant G. Mehta, Sean P. Meyn
EVOW
2010
Springer
14 years 16 days ago
Markov Chain Models for Genetic Algorithm Based Topology Control in MANETs
Abstract. We analyze the convergence properties of our force based genetic algorithm(fga) as a decentralized topology control mechanism distributed among software agents. fga guide...
Cem Safak Sahin, Stephen Gundry, Elkin Urrea, M. &...
JMLR
2010
129views more  JMLR 2010»
13 years 2 months ago
Approximation of hidden Markov models by mixtures of experts with application to particle filtering
Selecting conveniently the proposal kernel and the adjustment multiplier weights of the auxiliary particle filter may increase significantly the accuracy and computational efficie...
Jimmy Olsson, Jonas Ströjby
WSC
2008
13 years 9 months ago
Discrete stochastic optimization using linear interpolation
We consider discrete stochastic optimization problems where the objective function can only be estimated by a simulation oracle; the oracle is defined only at the discrete points....
Honggang Wang, Bruce W. Schmeiser