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NIPS
1998
15 years 8 months ago
Gradient Descent for General Reinforcement Learning
A simple learning rule is derived, the VAPS algorithm, which can be instantiated to generate a wide range of new reinforcementlearning algorithms. These algorithms solve a number ...
Leemon C. Baird III, Andrew W. Moore
INFOCOM
2007
IEEE
16 years 28 days ago
The Impact of Stochastic Noisy Feedback on Distributed Network Utility Maximization
—The implementation of distributed network utility maximization (NUM) algorithms hinges heavily on information feedback through message passing among network elements. In practic...
Junshan Zhang, Dong Zheng, Mung Chiang
STOC
2009
ACM
133views Algorithms» more  STOC 2009»
16 years 7 months ago
Near-perfect load balancing by randomized rounding
We consider and analyze a new algorithm for balancing indivisible loads on a distributed network with n processors. The aim is minimizing the discrepancy between the maximum and m...
Tobias Friedrich, Thomas Sauerwald
FOCS
2008
IEEE
16 years 1 months ago
Computing the Tutte Polynomial in Vertex-Exponential Time
The deletion–contraction algorithm is perhaps the most popular method for computing a host of fundamental graph invariants such as the chromatic, flow, and reliability polynomi...
Andreas Björklund, Thore Husfeldt, Petteri Ka...
GLVLSI
2007
IEEE
187views VLSI» more  GLVLSI 2007»
16 years 29 days ago
DAG based library-free technology mapping
This paper proposes a library-free technology mapping algorithm to reduce delay in combinational circuits. The algorithm reduces the overall number of series transistors through t...
Felipe S. Marques, Leomar S. da Rosa Jr., Renato P...