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NIPS
1998
13 years 9 months ago
Finite-Sample Convergence Rates for Q-Learning and Indirect Algorithms
In this paper, we address two issues of long-standing interest in the reinforcement learning literature. First, what kinds of performance guarantees can be made for Q-learning aft...
Michael J. Kearns, Satinder P. Singh
IROS
2007
IEEE
136views Robotics» more  IROS 2007»
14 years 2 months ago
A bounded uncertainty approach to cooperative localization using relative bearing constraints
— This paper describes an approach to cooperative localization which finds its roots in robust estimation, employing an unknown-but-bounded error model for sensor measurements. ...
Camillo J. Taylor, John R. Spletzer
COLING
2002
13 years 7 months ago
Integrating Linguistic and Performance-Based Constraints for Assigning Phrase Breaks
The mapping between syntactic structure and prosodic structure is a widely discussed topic in linguistics. In this work we use insights gained from research on syntax-to-prosody m...
Michaela Atterer, Ewan Klein
ANOR
2007
73views more  ANOR 2007»
13 years 8 months ago
A sample-path approach to optimal position liquidation
We consider the problem of optimal position liquidation with the aim of maximizing the expected cash flow stream from the transaction in the presence of temporary or permanent ma...
Pavlo A. Krokhmal, Stan Uryasev
SIAMSC
2008
198views more  SIAMSC 2008»
13 years 7 months ago
Model Reduction for Large-Scale Systems with High-Dimensional Parametric Input Space
A model-constrained adaptive sampling methodology is proposed for reduction of large-scale systems with high-dimensional parametric input spaces. Our model reduction method uses a ...
T. Bui-Thanh, Karen Willcox, Omar Ghattas