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TOMACS
2010
79views more  TOMACS 2010»
14 years 9 months ago
A stochastic approximation method with max-norm projections and its applications to the Q-learning algorithm
In this paper, we develop a stochastic approximation method to solve a monotone estimation problem and use this method to enhance the empirical performance of the Q-learning algor...
Sumit Kunnumkal, Huseyin Topaloglu
174
Voted
DAM
2011
14 years 9 months ago
An integer L-shaped algorithm for the Dial-a-Ride Problem with stochastic customer delays
This paper considers a single-vehicle Dial-a-Ride problem in which customers may experience stochastic delays at their pickup locations. If a customer is absent when the vehicle s...
Géraldine Heilporn, Jean-François Co...
ATAL
2004
Springer
15 years 8 months ago
Approximate Solutions for Partially Observable Stochastic Games with Common Payoffs
Partially observable decentralized decision making in robot teams is fundamentally different from decision making in fully observable problems. Team members cannot simply apply si...
Rosemary Emery-Montemerlo, Geoffrey J. Gordon, Jef...
100
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WSC
2004
15 years 3 months ago
Retrospective Approximation Algorithms for the Multidimensional Stochastic Root-Finding Problem
The stochastic root-finding problem (SRFP) is that of solving a system of q equations in q unknowns using only an oracle that provides estimates of the function values. This paper...
Raghu Pasupathy, Bruce W. Schmeiser