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HYBRID
2004
Springer
14 years 1 months ago
Inference Methods for Autonomous Stochastic Linear Hybrid Systems
We present a parameter inference algorithm for autonomous stochastic linear hybrid systems, which computes a maximum-likelihood model, given only a set of continuous output data of...
Hamsa Balakrishnan, Inseok Hwang, Jung Soon Jang, ...
CDC
2010
IEEE
136views Control Systems» more  CDC 2010»
13 years 2 months ago
A distributed Newton method for Network Utility Maximization
Most existing work uses dual decomposition and subgradient methods to solve Network Utility Maximization (NUM) problems in a distributed manner, which suffer from slow rate of con...
Ermin Wei, Asuman E. Ozdaglar, Ali Jadbabaie
CDC
2010
IEEE
139views Control Systems» more  CDC 2010»
13 years 2 months ago
Q-learning and enhanced policy iteration in discounted dynamic programming
We consider the classical finite-state discounted Markovian decision problem, and we introduce a new policy iteration-like algorithm for finding the optimal state costs or Q-facto...
Dimitri P. Bertsekas, Huizhen Yu
SIAMCO
2011
12 years 10 months ago
Weak Dynamic Programming Principle for Viscosity Solutions
Abstract. We prove a weak version of the dynamic programming principle for standard stochastic control problems and mixed control-stopping problems, which avoids the technical diļ¬...
Bruno Bouchard, Nizar Touzi
AUTOMATICA
2006
183views more  AUTOMATICA 2006»
13 years 7 months ago
Bank management via stochastic optimal control
This paper examines a problem related to the optimal risk management of banks in a stochastic dynamic setting. In particular, we minimize7 market and capital adequacy risk that in...
Janine Mukuddem-Petersen, Mark Adam Petersen