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  1. Proceedings of the 2nd Workshop on Machine Learning for Interactive Systems (MLIS '13)
  2. Robots, skills, and symbols
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Learning machines that perceive, act and communicate
Transfer learning with applications on text, sensors and images
Robots, skills, and symbols
Developmental robotics at Aldebaran A-Lab
Open knowledge for human-robot interaction
Machine learning for interactive systems and robots: a brief introduction
Expectation propagation learning of finite Beta-Liouville mixtures for spatio-temporal object recognition
Homogeneity analysis for object-action relation reasoning in kitchen scenarios
Shared control of a robot using EEG-based feedback signals
Automatic interface optimization through random exploration of available elements
Social signal and user adaptation in reinforcement learning-based dialogue management
Inverse reinforcement learning for interactive systems

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Robots, skills, and symbols

Content Provider ACM Digital Library
Author Konidaris, George
Abstract This extended abstract summarizes recent work on skill acquisition, which shows that autonomous robot skill acquisition is feasible, and that a robot can thereby improve its own problem-solving capabilities; and on the symbolic representation of plans composed of sequences of skills. It establishes a formal link between skills and symbols, and is aimed at allowing the bottom-up (or skill-first) development of robot control hierarchies.
Starting Page 9
Ending Page 11
Page Count 3
File Format PDF
ISBN 9781450320191
DOI 10.1145/2493525.2493528
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2013-08-04
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Hierarchy Skills Reinforcement learning Representation Planning Artificial intelligence Robotics
Content Type Text
Resource Type Article
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