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AAAI
2004
13 years 8 months ago
Learning and Applying Competitive Strategies
Learning reusable sequences can support the development of expertise in many domains, either by improving decisionmaking quality or decreasing execution speed. This paper introduc...
Esther Lock, Susan L. Epstein
GECCO
2010
Springer
184views Optimization» more  GECCO 2010»
14 years 6 days ago
Transfer learning through indirect encoding
An important goal for the generative and developmental systems (GDS) community is to show that GDS approaches can compete with more mainstream approaches in machine learning (ML)....
Phillip Verbancsics, Kenneth O. Stanley
ICCBR
2010
Springer
13 years 11 months ago
Imitating Inscrutable Enemies: Learning from Stochastic Policy Observation, Retrieval and Reuse
In this paper we study the topic of CBR systems learning from observations in which those observations can be represented as stochastic policies. We describe a general framework wh...
Kellen Gillespie, Justin Karneeb, Stephen Lee-Urba...
INFOCOM
2009
IEEE
14 years 2 months ago
Analysis of Adaptive Incentive Protocols for P2P Networks
— Incentive protocols play a crucial role to encourage cooperation among nodes in networking applications. The aim of this paper is to provide a general analytical framework to a...
Ben Q. Zhao, John C. S. Lui, Dah-Ming Chiu
APGV
2006
ACM
14 years 1 months ago
Updating orientation in large virtual environments using scaled translational gain
Navigating through large virtual environments using a headmounted display (HMD) is difficult due to the spatial limitations of the tracking system. We conducted two experiments t...
Betsy Williams, Gayathri Narasimham, Timothy P. Mc...