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» Using Learning in a Control Agent
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PET
2005
Springer
15 years 8 months ago
An Analysis of Parallel Mixing with Attacker-Controlled Inputs
Parallel mixing [7] is a technique for optimizing the latency of a synchronous re-encryption mix network. We analyze the anonymity of this technique when an adversary can learn the...
Nikita Borisov
SASO
2007
IEEE
15 years 9 months ago
Emergence of Smooth Pursuit using Chaos
The task of tracking an object has been fully studied and many solutions presented before. However, it is a perfect test bed for the study of a novel model using Coupled Chaos Sys...
Boris Duran, Giorgio Metta, Giulio Sandini
82
Voted
CEC
2007
IEEE
15 years 9 months ago
Evolving the best-response strategy to decide when to make a proposal
— This paper designed and developed negotiation agents with the distinguishing features of 1) conducting continuous time negotiation rather than discrete time negotiation, 2) lea...
Bo An, Kwang Mong Sim, Victor R. Lesser
ML
2008
ACM
15 years 2 months ago
Margin-based first-order rule learning
Abstract We present a new margin-based approach to first-order rule learning. The approach addresses many of the prominent challenges in first-order rule learning, such as the comp...
Ulrich Rückert, Stefan Kramer
105
Voted
RTSS
1998
IEEE
15 years 6 months ago
A Dynamic Quality of Service Middleware Agent for Mediating Application Resource Usage
High-bandwidth applications with time-dependent resource requirements demand certain resource level assurances in order to operate correctly. Quality of Service resource managemen...
Scott A. Brandt, Gary J. Nutt, Toby Berk, James E....