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» Using Stochastic Grammars to Learn Robotic Tasks
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IROS
2007
IEEE
92views Robotics» more  IROS 2007»
16 years 5 days 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 7 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»
15 years 3 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 11 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 11 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...