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ICML
2008
IEEE
16 years 3 months ago
Learning for control from multiple demonstrations
We consider the problem of learning to follow a desired trajectory when given a small number of demonstrations from a sub-optimal expert. We present an algorithm that (i) extracts...
Adam Coates, Pieter Abbeel, Andrew Y. Ng
ICNC
2009
Springer
15 years 9 months ago
Model-Free Learning and Control in a Mobile Robot
A model-free, biologically-motivated learning and control algorithm called S-learning is described as implemented in an Surveyor SRV-1 mobile robot. S-learning demonstrated learni...
Brandon Rohrer, Michael Bernard, J. Daniel Morrow,...
ICRA
2008
IEEE
114views Robotics» more  ICRA 2008»
15 years 9 months ago
Mobile robot control in the road sign problem using Reservoir Computing networks
— In this work we tackle the road sign problem with Reservoir Computing (RC) networks. The T-maze task (a particular form of the road sign problem) consists of a robot in a T-sha...
Eric A. Antonelo, Benjamin Schrauwen, Dirk Strooba...
VTC
2008
IEEE
152views Communications» more  VTC 2008»
15 years 9 months ago
Network Controlled Joint Radio Resource Management for Heterogeneous Networks
Abstract— In this paper, we propose a way of achieving optimality in radio resource management (RRM) for heterogeneous networks. We consider a micro or femto cell with two co-loc...
Marceau Coupechoux, Jean Marc Kelif, Philippe Godl...
WCNC
2008
IEEE
15 years 9 months ago
Multi-Carrier Burst Contention (MCBC): Scalable Medium Access Control for Wireless Networks
—With the rapid growth of WLAN capability for mobile devices such as laptops, handhelds, mobile phones and vehicles, we will witness WLANs with very large numbers of active nodes...
Bogdan Roman, Frank Stajano, Ian J. Wassell, David...