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» Combining Simple Models to Approximate Complex Dynamics
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ICML
2002
IEEE
15 years 10 months ago
Algorithm-Directed Exploration for Model-Based Reinforcement Learning in Factored MDPs
One of the central challenges in reinforcement learning is to balance the exploration/exploitation tradeoff while scaling up to large problems. Although model-based reinforcement ...
Carlos Guestrin, Relu Patrascu, Dale Schuurmans
AUTOMATICA
1999
145views more  AUTOMATICA 1999»
14 years 9 months ago
Control of systems integrating logic, dynamics, and constraints
This paper proposes a framework for modeling and controlling systems described by interdependent physical laws, logic rules, and operating constraints, denoted as mixed logical dy...
Alberto Bemporad, Manfred Morari
ICCV
2007
IEEE
15 years 12 months ago
Real-time Body Tracking Using a Gaussian Process Latent Variable Model
In this paper, we present a tracking framework for capturing articulated human motions in real-time, without the need for attaching markers onto the subject's body. This is a...
Shaobo Hou, Aphrodite Galata, Fabrice Caillette, N...
DIAGRAMS
2006
Springer
15 years 1 months ago
Toward a Comprehensive Model of Graph Comprehension: Making the Case for Spatial Cognition
We argue that a comprehensive model of graph comprehension must include spatial cognition. We propose that current models of graph comprehension have not needed to incorporate spat...
Susan Bell Trickett, J. Gregory Trafton
VIS
2004
IEEE
204views Visualization» more  VIS 2004»
15 years 11 months ago
Exploration of the Brain's White Matter Pathways with Dynamic Queries
Diffusion Tensor Imaging (DTI) is a magnetic resonance imaging method that can be used to measure local information about the structure of white matter within the human brain. Com...
David Akers, Anthony Sherbondy, Rachel Mackenzie, ...