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» Learning to Drive and Simulate Autonomous Mobile Robots
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ICCBR
2009
Springer
14 years 2 months ago
S-Learning: A Model-Free, Case-Based Algorithm for Robot Learning and Control
A model-free, case-based learning and control algorithm called S-learning is described as implemented in a simulation of a light-seeking mobile robot. S-learning demonstrated learn...
Brandon Rohrer
IROS
2008
IEEE
172views Robotics» more  IROS 2008»
14 years 2 months ago
HybridExploration: A distributed approach to terrain exploration using mobile and fixed sensor nodes
— When an emergency occurs within a building, it may be initially safer to send autonomous mobile nodes, instead of human responders, to explore the area and identify hazards and...
Ettore Ferranti, Niki Trigoni, Mark Levene
CCIA
2005
Springer
14 years 1 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...
CN
2007
146views more  CN 2007»
13 years 7 months ago
Autonomic control and personalization of a wireless access network
As ICT services are becoming more ubiquitous and mobile and access technologies grow to be more heterogeneous and complex, we are witnessing the increasing importance of two relat...
Nicola Blefari-Melazzi, Dario Di Sorte, Mauro Femm...
AAAI
2007
13 years 10 months ago
Predictive Exploration for Autonomous Science
Often remote investigations use autonomous agents to observe an environment on behalf of absent scientists. Predictive exploration improves these systems’ efficiency with onboa...
David R. Thompson