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» Exploiting Myopic Learning
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110
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CEC
2010
IEEE
15 years 3 months ago
Learning to overtake in TORCS using simple reinforcement learning
In modern racing games programming non-player characters with believable and sophisticated behaviors is getting increasingly challenging. Recently, several works in the literature ...
Daniele Loiacono, Alessandro Prete, Pier Luca Lanz...
131
Voted
IEAAIE
2004
Springer
15 years 8 months ago
Machine Learning Approaches for Inducing Student Models
The main issue in e-learning is student modelling, i.e. the analysis of a student’s behaviour and prediction of his/her future behaviour and learning performance. Indeed, it is d...
Oriana Licchelli, Teresa Maria Altomare Basile, Ni...
135
Voted
NIPS
2001
15 years 4 months ago
Algorithmic Luckiness
Classical statistical learning theory studies the generalisation performance of machine learning algorithms rather indirectly. One of the main detours is that algorithms are studi...
Ralf Herbrich, Robert C. Williamson
107
Voted
ICML
2006
IEEE
16 years 3 months ago
Classifying EEG for brain-computer interfaces: learning optimal filters for dynamical system features
Classification of multichannel EEG recordings during motor imagination has been exploited successfully for brain-computer interfaces (BCI). In this paper, we consider EEG signals ...
Le Song, Julien Epps
108
Voted
ALT
2006
Springer
15 years 11 months ago
Unsupervised Slow Subspace-Learning from Stationary Processes
Abstract. We propose a method of unsupervised learning from stationary, vector-valued processes. A low-dimensional subspace is selected on the basis of a criterion which rewards da...
Andreas Maurer