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» Modelling Adaptive Systems in ForSyDe
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NIPS
1996
15 years 3 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
15 years 2 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
15 years 2 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»
15 years 2 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»
16 years 2 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