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» Learning Generalized Plans Using Abstract Counting
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ATAL
2010
Springer
13 years 9 months ago
Learning multirobot joint action plans from simultaneous task execution demonstrations
The central problem of designing intelligent robot systems which learn by demonstrations of desired behaviour has been largely studied within the field of robotics. Numerous archi...
Murilo Fernandes Martins, Yiannis Demiris
WOLLIC
2009
Springer
14 years 3 months ago
On-the-Fly Macros
Abstract. We present a domain-independent algorithm for planning that computes macros in a novel way. Our algorithm computes macros “on-the-fly” for a given set of states and ...
Hubie Chen, Omer Giménez
ICRA
2010
IEEE
142views Robotics» more  ICRA 2010»
13 years 7 months ago
Learning and planning high-dimensional physical trajectories via structured Lagrangians
— We consider the problem of finding sufficiently simple models of high-dimensional physical systems that are consistent with observed trajectories, and using these models to s...
Paul Vernaza, Daniel D. Lee, Seung-Joon Yi
ALT
2006
Springer
14 years 5 months ago
Probabilistic Generalization of Simple Grammars and Its Application to Reinforcement Learning
Abstract. Recently, some non-regular subclasses of context-free grammars have been found to be efficiently learnable from positive data. In order to use these efficient algorithms ...
Takeshi Shibata, Ryo Yoshinaka, Takashi Chikayama
ICDE
2006
IEEE
95views Database» more  ICDE 2006»
14 years 9 months ago
Learning from Aggregate Views
In this paper, we introduce a new class of data mining problems called learning from aggregate views. In contrast to the traditional problem of learning from a single table of tra...
Bee-Chung Chen, Lei Chen 0003, Raghu Ramakrishnan,...