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SIGECOM
2009
ACM
114views ECommerce» more  SIGECOM 2009»
16 years 1 months ago
Policy teaching through reward function learning
Policy teaching considers a Markov Decision Process setting in which an interested party aims to influence an agent’s decisions by providing limited incentives. In this paper, ...
Haoqi Zhang, David C. Parkes, Yiling Chen
CDC
2008
IEEE
139views Control Systems» more  CDC 2008»
16 years 1 months ago
Iterative Risk Allocation: A new approach to robust Model Predictive Control with a joint chance constraint
Abstract— This paper proposes a novel two-stage optimization method for robust Model Predictive Control (RMPC) with Gaussian disturbance and state estimation error. Since the dis...
Masahiro Ono, Brian C. Williams
CGO
2008
IEEE
16 years 1 months ago
Branch-on-random
We propose a new instruction, branch-on-random, that is like a standard conditional branch, except rather than specifying the condition on which the branch should be taken, it spe...
Edward Lee, Craig B. Zilles
ICPP
2008
IEEE
16 years 1 months ago
Solving Large, Irregular Graph Problems Using Adaptive Work-Stealing
Solving large, irregular graph problems efficiently is challenging. Current software systems and commodity multiprocessors do not support fine-grained, irregular parallelism wel...
Guojing Cong, Sreedhar B. Kodali, Sriram Krishnamo...
ICST
2008
IEEE
16 years 1 months ago
Verifying and Analyzing Adaptive Logic through UML State Models
It is becoming increasingly important to be able to adapt an application’s behavior at run time in response to changing requirements and environmental conditions. Adaptive progr...
Andres J. Ramirez, Betty H. C. Cheng