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» Using Stochastic Grammars to Learn Robotic Tasks
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IROS
2007
IEEE
92views Robotics» more  IROS 2007»
15 years 7 months ago
Learning-enhanced market-based task allocation for oversubscribed domains
Abstract— This paper presents a learning-enhanced marketbased task allocation approach for oversubscribed domains. In oversubscribed domains all tasks cannot be completed within ...
Edward Gil Jones, M. Bernardine Dias, Anthony Sten...
ICVGIP
2004
15 years 2 months ago
Robust Segmentation of Unconstrained Online Handwritten Documents
A segmentation algorithm, which can detect different regions of a handwritten document such as text lines, tables and sketches will be extremely useful in a variety of application...
Anoop M. Namboodiri, Anil K. Jain
ICRA
2009
IEEE
207views Robotics» more  ICRA 2009»
14 years 11 months ago
Bayesian network-based behavior control for skilligent robots
A Skilligent robot must be able to learn skills autonomously to accomplish a task. "Skilligence" is the capacity of the robot to control behaviors reasonably, based on th...
Sang Hyoung Lee, Il Hong Suh
ICCBR
2005
Springer
15 years 6 months ago
CBR for State Value Function Approximation in Reinforcement Learning
CBR is one of the techniques that can be applied to the task of approximating a function over high-dimensional, continuous spaces. In Reinforcement Learning systems a learning agen...
Thomas Gabel, Martin A. Riedmiller
CCIA
2005
Springer
15 years 6 months ago
Direct Policy Search Reinforcement Learning for Robot Control
— This paper proposes a high-level Reinforcement Learning (RL) control system for solving the action selection problem of an autonomous robot. Although the dominant approach, whe...
Andres El-Fakdi, Marc Carreras, Narcís Palo...