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AAAI
1994
15 years 8 months ago
Learning to Select Useful Landmarks
To navigate effectively, an autonomous agent must be able to quickly and accurately determine its current location. Given an initial estimate of its position (perhaps based on dea...
Russell Greiner, Ramana Isukapalli
CORR
2008
Springer
107views Education» more  CORR 2008»
15 years 6 months ago
A Spectral Algorithm for Learning Hidden Markov Models
Hidden Markov Models (HMMs) are one of the most fundamental and widely used statistical tools for modeling discrete time series. In general, learning HMMs from data is computation...
Daniel Hsu, Sham M. Kakade, Tong Zhang
CE
2007
102views more  CE 2007»
15 years 6 months ago
ICT and learning: Lessons from Australian classrooms
Research into Information and Communication Technologies (ICT) in schools is well into its third decade but there is still a pressing need to better understand how computer-based ...
Debra N. A. Hayes
JMLR
2006
153views more  JMLR 2006»
15 years 6 months ago
Collaborative Multiagent Reinforcement Learning by Payoff Propagation
In this article we describe a set of scalable techniques for learning the behavior of a group of agents in a collaborative multiagent setting. As a basis we use the framework of c...
Jelle R. Kok, Nikos A. Vlassis
IJOE
2007
107views more  IJOE 2007»
15 years 6 months ago
Learning Digital Test and Diagnostics via Internet
: An environment targeted to e-learning is presented for teaching design and test of electronic systems. The environment consists of a set of Java applets, and of web based access ...
Raimund Ubar, Artur Jutman, Margus Kruus, Elmet Or...