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» Optimal Control with Adaptive Internal Dynamics Models
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NIPS
1998
13 years 10 months ago
Risk Sensitive Reinforcement Learning
In this paper, we consider Markov Decision Processes (MDPs) with error states. Error states are those states entering which is undesirable or dangerous. We define the risk with re...
Ralph Neuneier, Oliver Mihatsch
CGO
2004
IEEE
14 years 15 days ago
Physical Experimentation with Prefetching Helper Threads on Intel's Hyper-Threaded Processors
Pre-execution techniques have received much attention as an effective way of prefetching cache blocks to tolerate the everincreasing memory latency. A number of pre-execution tech...
Dongkeun Kim, Shih-Wei Liao, Perry H. Wang, Juan d...
JODL
2000
194views more  JODL 2000»
13 years 8 months ago
An open electronic marketplace through agent-based workflows: MOPPET
We propose an electronic marketplace architecture, called MOPPET, where the commerce processes in the marketplace are modeled as adaptable agent-based workflows. The higher level ...
Sena Nural Arpinar, Asuman Dogac, Nesime Tatbul
IPPS
2003
IEEE
14 years 2 months ago
Constrained Component Deployment in Wide-Area Networks Using AI Planning Techniques
Component-based models represent a dominant trend in the construction of wide-area network applications, making possible the integration of diverse functionality contained in modu...
Tatiana Kichkaylo, Anca-Andreea Ivan, Vijay Karamc...
TASE
2011
IEEE
13 years 3 months ago
A Totally Decoupled Piezo-Driven XYZ Flexure Parallel Micropositioning Stage for Micro/Nanomanipulation
—This paper reports the design and development processes of a totally decoupled flexure-based XYZ parallel-kinematics micropositioning stage with piezoelectric actuation. The un...
Yangmin Li, Qingsong Xu