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» Modelling Adaptive Systems in ForSyDe
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NIPS
1996
13 years 11 months ago
Multidimensional Triangulation and Interpolation for Reinforcement Learning
Dynamic Programming, Q-learning and other discrete Markov Decision Process solvers can be applied to continuous d-dimensional state-spaces by quantizing the state space into an arr...
Scott Davies
AIS
2007
Springer
13 years 10 months ago
Wearable music in engaging technologies
We address the relationship between a music performer and her instrument as a possible model for re-thinking wearable technologies. Both musical instruments and textiles invite pa...
Franziska Schroeder, Pedro Rebelo
AAMAS
2006
Springer
13 years 10 months ago
An Evolutionary Dynamical Analysis of Multi-Agent Learning in Iterated Games
In this paper, we investigate Reinforcement learning (RL) in multi-agent systems (MAS) from an evolutionary dynamical perspective. Typical for a MAS is that the environment is not ...
Karl Tuyls, Pieter Jan't Hoen, Bram Vanschoenwinke...
BMCBI
2006
146views more  BMCBI 2006»
13 years 10 months ago
Optimized Particle Swarm Optimization (OPSO) and its application to artificial neural network training
Background: Particle Swarm Optimization (PSO) is an established method for parameter optimization. It represents a population-based adaptive optimization technique that is influen...
Michael Meissner, Michael Schmuker, Gisbert Schnei...
KDD
2001
ACM
231views Data Mining» more  KDD 2001»
14 years 10 months ago
A Framework for Efficient and Anonymous Web Usage Mining Based on Client-Side Tracking
Web Usage Mining (WUM), a natural application of data mining techniques to the data collected from user interactions with the web, has greatly concerned both academia and industry ...
Cyrus Shahabi, Farnoush Banaei Kashani