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ICML
1996
IEEE
14 years 29 days ago
A Convergent Reinforcement Learning Algorithm in the Continuous Case: The Finite-Element Reinforcement Learning
This paper presents a direct reinforcement learning algorithm, called Finite-Element Reinforcement Learning, in the continuous case, i.e. continuous state-space and time. The eval...
Rémi Munos
WSC
1998
13 years 10 months ago
Implementations of Dispatch Rules in Parallel Manufacturing Simulation
Most features in commercial simulation packages are often omitted in parallel simulation benchmarks, because they neither affect the overall correctness of the simulation protocol...
Chu-Cheow Lim, Yoke-Hean Low, Boon-Ping Gan, Sanja...
ISCA
1992
IEEE
125views Hardware» more  ISCA 1992»
14 years 26 days ago
Limits of Control Flow on Parallelism
This paper discusses three techniques useful in relaxing the constraints imposed by control flow on parallelism: control dependence analysis, executing multiple flows of control s...
Monica S. Lam, Robert P. Wilson
ICML
2010
IEEE
13 years 10 months ago
Learning Sparse SVM for Feature Selection on Very High Dimensional Datasets
A sparse representation of Support Vector Machines (SVMs) with respect to input features is desirable for many applications. In this paper, by introducing a 0-1 control variable t...
Mingkui Tan, Li Wang, Ivor W. Tsang
SCP
1998
163views more  SCP 1998»
13 years 8 months ago
Computing with Continuous Change
A central challenge in computer science and knowledge representation is the integration of conceptual frameworks for continuous and discrete change, as exemplified by the theory ...
Vineet Gupta, Radha Jagadeesan, Vijay A. Saraswat