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IWANN
1999
Springer
15 years 11 months ago
Using Temporal Neighborhoods to Adapt Function Approximators in Reinforcement Learning
To avoid the curse of dimensionality, function approximators are used in reinforcement learning to learn value functions for individual states. In order to make better use of comp...
R. Matthew Kretchmar, Charles W. Anderson
INFOCOM
1998
IEEE
15 years 11 months ago
On Adaptive Bandwidth Sharing with Rate Guarantees
The objective of recent research in fair queueing schemes has been to efficiently emulate a fluid-flow generalized (weighted) processor sharing (GPS) system, as closely as possibl...
Nick G. Duffield, T. V. Lakshman, Dimitrios Stilia...
PLDI
1997
ACM
15 years 11 months ago
Dynamic Feedback: An Effective Technique for Adaptive Computing
This paper presents dynamic feedback, a technique that enables computations to adapt dynamically to different execution environments. A compiler that uses dynamic feedback produce...
Pedro C. Diniz, Martin C. Rinard
HRI
2007
ACM
15 years 10 months ago
Exploring adaptive dialogue based on a robot's awareness of human gaze and task progress
When a robot provides direction--as a guide, an assistant, or as an instructor--the robot may have to interact with people of different backgrounds and skill sets. Different peopl...
Cristen Torrey, Aaron Powers, Susan R. Fussell, Sa...
COOPIS
2004
IEEE
15 years 10 months ago
A Mobile Agent Infrastructure for QoS Negotiation of Adaptive Distributed Applications
Abstract. QoS-aware distributed applications such as certain Multimedia and Ubiquitous Computing applications can benefit greatly from the provision of QoS guarantees from the unde...
Roberto Speicys Cardoso, Fabio Kon