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ICRA
2005
IEEE
114views Robotics» more  ICRA 2005»
16 years 9 days ago
A Proof for the Approximate Sparsity of SLAM Information Matrices
— For the Simultaneous Localization and Mapping problem several efficient algorithms have been proposed that make use of a sparse information matrix representation (e.g. SEIF, T...
Udo Frese
FSTTCS
2003
Springer
15 years 12 months ago
An Improved Approximation Scheme for Computing Arrow-Debreu Prices for the Linear Case
Recently, Jain, Mahdian and Saberi [5] had given a FPTAS for the problem of computing a market equilibrium in the Arrow-Debreu setting, when the utilities are linear functions. The...
Nikhil R. Devanur, Vijay V. Vazirani
COLT
2000
Springer
15 years 11 months ago
Estimation and Approximation Bounds for Gradient-Based Reinforcement Learning
We model reinforcement learning as the problem of learning to control a Partially Observable Markov Decision Process (  ¢¡¤£¦¥§  ), and focus on gradient ascent approache...
Peter L. Bartlett, Jonathan Baxter
RECOMB
1997
Springer
15 years 11 months ago
A more efficient approximation scheme for tree alignment
We present a new polynomial time approximation scheme (PTAS) for tree alignment, which is an important variant of multiple sequence alignment. As in the existing PTASs in the liter...
Lusheng Wang, Tao Jiang, Dan Gusfield
SODA
1997
ACM
111views Algorithms» more  SODA 1997»
15 years 8 months ago
Approximation Schemes for Scheduling
We discuss scheduling problems with m identical machines and n jobs where each job has to be assigned to some machine. The goal is to optimize objective functions that solely depe...
Noga Alon, Yossi Azar, Gerhard J. Woeginger, Tal Y...