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NIPS
1998
15 years 7 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
NC
2008
122views Neural Networks» more  NC 2008»
15 years 6 months ago
Computation with finite stochastic chemical reaction networks
A highly desired part of the synthetic biology toolbox is an embedded chemical microcontroller, capable of autonomously following a logic program specified by a set of instructions...
David Soloveichik, Matthew Cook, Erik Winfree, Jeh...
IEICET
2007
73views more  IEICET 2007»
15 years 6 months ago
An ON-OFF Multi-Rate Loss Model of Finite Sources
Bursty traffic is dominant in modern communication networks and keeps the call-level QoS assessment an open issue. ON-OFF traffic models are commonly used to describe bursty tra...
Ioannis D. Moscholios, Michael D. Logothetis, Mich...
COLING
2002
15 years 6 months ago
Creating a Finite-State Parser with Application Semantics
Parsli is a finite-state (FS) parser which can be tailored to the lexicon, syntax, and semantics of a particular application using a hand-editable declarative lexicon. The lexicon...
Owen Rambow, Srinivas Bangalore, Tahir Butt, Alexi...
SIAMJO
2010
107views more  SIAMJO 2010»
15 years 4 months ago
Second-Order Analysis of Polyhedral Systems in Finite and Infinite Dimensions with Applications to Robust Stability of Variation
Abstract. This paper concerns second-order analysis for a remarkable class of variational systems in finite-dimensional and infinite-dimensional spaces, which is particularly imp...
René Henrion, Boris S. Mordukhovich, Nguyen...