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ECML
2004
Springer
15 years 5 months ago
Analyzing Multi-agent Reinforcement Learning Using Evolutionary Dynamics
In this paper, we show how the dynamics of Q-learning can be visualized and analyzed from a perspective of Evolutionary Dynamics (ED). More specifically, we show how ED can be use...
Pieter Jan't Hoen, Karl Tuyls
99
Voted
CEC
2007
IEEE
15 years 4 months ago
Evolving hypernetwork classifiers for microRNA expression profile analysis
Abstract-- High-throughput microarrays inform us on different outlooks of the molecular mechanisms underlying the function of cells and organisms. While computational analysis for ...
Sun Kim, Soo-Jin Kim, Byoung-Tak Zhang
EDM
2008
141views Data Mining» more  EDM 2008»
15 years 1 months ago
An Open Repository and analysis tools for fine-grained, longitudinal learner data
We introduce an open data repository and set of associated visualization and analysis tools. The Pittsburgh Science of Learning Center's "DataShop" has data from tho...
Kenneth R. Koedinger, Kyle Cunningham, Alida Skogs...
114
Voted
SIGECOM
2005
ACM
153views ECommerce» more  SIGECOM 2005»
15 years 6 months ago
Marginal contribution nets: a compact representation scheme for coalitional games
We present a new approach to representing coalitional games based on rules that describe the marginal contributions of the agents. This representation scheme captures characterist...
Samuel Ieong, Yoav Shoham
79
Voted
ATAL
2005
Springer
15 years 6 months ago
Development of Self-organising Emergent Applications with Simulation-Based Numerical Analysis
The goal of engineering self-organising emergent systems is to acquire a macroscopic system behaviour solely from autonomous local activity and interaction. Due to the non-determin...
Tom De Wolf, Tom Holvoet, Giovanni Samaey