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» Learning Qualitative Models of Dynamic Systems
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ICML
2005
IEEE
14 years 9 months ago
Exploration and apprenticeship learning in reinforcement learning
We consider reinforcement learning in systems with unknown dynamics. Algorithms such as E3 (Kearns and Singh, 2002) learn near-optimal policies by using "exploration policies...
Pieter Abbeel, Andrew Y. Ng
IJON
2007
85views more  IJON 2007»
13 years 8 months ago
Hierarchical dynamical models of motor function
Hierarchical models of motor function are described in which the motor system encodes a hierarchy of dynamical motor primitives. The models are based on continuous attractor neura...
Simon M. Stringer, Edmund T. Rolls
UAI
2004
13 years 10 months ago
Dynamical Systems Trees
We propose dynamical systems trees (DSTs) as a flexible model for describing multiple processes that interact via a hierarchy of aggregating processes. DSTs extend nonlinear dynam...
Andrew Howard, Tony Jebara
IADIS
2008
13 years 10 months ago
Usability Evaluation Of The Moodle System From The Teachers' Perspective
This article presents an empirical study performed to evaluate the Moodle usability, from the point of view of teachers who are using this system to support their classes. The usa...
Tereza G. Kirner, Carlos de A. Custódio, Cl...
SAFECOMP
2004
Springer
14 years 1 months ago
Using Fuzzy Self-Organising Maps for Safety Critical Systems
This paper defines a type of constrained artificial neural network (ANN) that enables analytical certification arguments whilst retaining valuable performance characteristics. ...
Zeshan Kurd, Tim Kelly