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CIARP
2009
Springer
14 years 3 months ago
Learning Relational Grammars from Sequences of Actions
Many tasks can be described by sequences of actions that normally exhibit some form of structure and that can be represented by a grammar. This paper introduces FOSeq, an algorithm...
Blanca Vargas-Govea, Eduardo F. Morales
WWW
2008
ACM
14 years 9 months ago
Personalized view-based search and visualization as a means for deep/semantic web data access
Effective access to and navigation in information stored in deep Web ontological repositories or relational databases has yet to be realized due to issues with usability of user i...
Mária Bieliková, Michal Tvarozek
NN
2006
Springer
13 years 8 months ago
The misbehavior of value and the discipline of the will
Most reinforcement learning models of animal conditioning operate under the convenient, though fictive, assumption that Pavlovian conditioning concerns prediction learning whereas...
Peter Dayan, Yael Niv, Ben Seymour, Nathaniel D. D...
NIPS
1994
13 years 9 months ago
Finding Structure in Reinforcement Learning
Reinforcement learning addresses the problem of learning to select actions in order to maximize one's performance inunknownenvironments. Toscale reinforcement learning to com...
Sebastian Thrun, Anton Schwartz
RAS
2006
199views more  RAS 2006»
13 years 8 months ago
Cooperative hole avoidance in a swarm-bot
In this paper, we study coordinated motion in a swarm robotic system, called a swarm-bot. A swarm-bot is a self-assembling and self-organising artifact, composed of a swarm of s-b...
Vito Trianni, Stefano Nolfi, Marco Dorigo