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CDC
2010
IEEE
139views Control Systems» more  CDC 2010»
14 years 6 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
MP
2002
103views more  MP 2002»
14 years 11 months ago
Detecting Jacobian sparsity patterns by Bayesian probing
In this paper we describe an automatic procedure for successively reducing the set of possible nonzeros in a Jacobian matrix until eventually the exact sparsity pattern is obtained...
Andreas Griewank, Christo Mitev
JCNS
2010
104views more  JCNS 2010»
14 years 10 months ago
A new look at state-space models for neural data
State space methods have proven indispensable in neural data analysis. However, common methods for performing inference in state-space models with non-Gaussian observations rely o...
Liam Paninski, Yashar Ahmadian, Daniel Gil Ferreir...
SIAMJO
2010
97views more  SIAMJO 2010»
14 years 6 months ago
A Newton-CG Augmented Lagrangian Method for Semidefinite Programming
Abstract. We consider a Newton-CG augmented Lagrangian method for solving semidefinite programming (SDP) problems from the perspective of approximate semismooth Newton methods. In ...
Xin-Yuan Zhao, Defeng Sun, Kim-Chuan Toh
CDC
2010
IEEE
163views Control Systems» more  CDC 2010»
14 years 6 months ago
A projection framework for near-potential games
Potential games are a special class of games that admit tractable static and dynamic analysis. Intuitively, games that are "close" to a potential game should enjoy somewh...
Ozan Candogan, Asuman E. Ozdaglar, Pablo A. Parril...