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UAI
2008
13 years 8 months ago
Learning When to Take Advice: A Statistical Test for Achieving A Correlated Equilibrium
We study a multiagent learning problem where agents can either learn via repeated interactions, or can follow the advice of a mediator who suggests possible actions to take. We pr...
Greg Hines, Kate Larson
PKDD
2010
Springer
152views Data Mining» more  PKDD 2010»
13 years 5 months ago
Online Knowledge-Based Support Vector Machines
Prior knowledge, in the form of simple advice rules, can greatly speed up convergence in learning algorithms. Online learning methods predict the label of the current point and the...
Gautam Kunapuli, Kristin P. Bennett, Amina Shabbee...
AIPS
2000
13 years 8 months ago
Planning with Conflicting Advice
The paradigm of advisable planning, in which a user provides guidance to influence the content of solutions produced by an underlying planning system, holds much promise for impro...
Karen L. Myers
AAMAS
2005
Springer
14 years 1 months ago
Advice-Exchange Between Evolutionary Algorithms and Reinforcement Learning Agents: Experiments in the Pursuit Domain
This research aims at studying the effects of exchanging information during the learning process in Multiagent Systems. The concept of advice-exchange, introduced in (Nunes and Ol...
Luís Nunes, Eugénio C. Oliveira
ICML
2000
IEEE
14 years 8 months ago
Crafting Papers on Machine Learning
This essay gives advice to authors of papers on machine learning, although much of it carries over to other computational disciplines. The issues covered include the material that...
Pat Langley