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JMLR
2010
125views more  JMLR 2010»
13 years 3 months ago
Variational methods for Reinforcement Learning
We consider reinforcement learning as solving a Markov decision process with unknown transition distribution. Based on interaction with the environment, an estimate of the transit...
Thomas Furmston, David Barber
SBRN
2008
IEEE
14 years 2 months ago
Imitation Learning of an Intelligent Navigation System for Mobile Robots Using Reservoir Computing
The design of an autonomous navigation system for mobile robots can be a tough task. Noisy sensors, unstructured environments and unpredictability are among the problems which mus...
Eric A. Antonelo, Benjamin Schrauwen, Dirk Strooba...
ROBOCUP
2004
Springer
127views Robotics» more  ROBOCUP 2004»
14 years 1 months ago
A Novel Search Strategy for Autonomous Search and Rescue Robots
In this work, a novel search strategy for autonomous search and rescue robots, that is highly suitable for the environments when the aid of human rescuers or search dogs is complet...
Sanem Sariel, H. Levent Akin
CGF
2010
189views more  CGF 2010»
13 years 8 months ago
Space-in-Time and Time-in-Space Self-Organizing Maps for Exploring Spatiotemporal Patterns
Spatiotemporal data pose serious challenges to analysts in geographic and other domains. Owing to the complexity of the geospatial and temporal components, this kind of data canno...
Gennady L. Andrienko, Natalia V. Andrienko, Sebast...
IJCAI
1993
13 years 9 months ago
Using Local Information in a Non-Local Way for Mapping Graph-Like Worlds
This paper describes a technique whereby an autonomous agent such as a mobile robot can explore an unknown environment and make a topologicalmapofit. It is assumedthat the environ...
Gregory Dudek, Paul Freedman, Souad Hadjres