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ECML
2004
Springer
14 years 1 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
GLOBECOM
2008
IEEE
13 years 8 months ago
Autonomous Network Management Using Cooperative Learning for Network-Wide Load Balancing in Heterogeneous Networks
Traditional hop-by-hop dynamic routing makes inefficient use of network resources as it forwards packets along already congested shortest paths while uncongested longer paths may b...
Minsoo Lee, Xiaohui Ye, Dan Marconett, Samuel John...
KBS
2007
100views more  KBS 2007»
13 years 8 months ago
A retraining methodology for enhancing agent intelligence
Data mining has proven a successful gateway for discovering useful knowledge and for enhancing business intelligence in a range of application fields. Incorporating this knowledg...
Andreas L. Symeonidis, Ioannis N. Athanasiadis, Pe...
CSL
2010
Springer
13 years 8 months ago
Evaluation of a hierarchical reinforcement learning spoken dialogue system
We describe an evaluation of spoken dialogue strategies designed using hierarchical reinforcement learning agents. The dialogue strategies were learnt in a simulated environment a...
Heriberto Cuayáhuitl, Steve Renals, Oliver ...
HICSS
2010
IEEE
208views Biometrics» more  HICSS 2010»
14 years 3 months ago
Using Personality Factors to Predict Interface Learning Performance
This current study explored the impact of individual differences in personality factors on interface interaction and learning performance in both an interactive visualization and ...
Tera Marie Green, Dong Hyun Jeong, Brian Fisher