3206 search results - page 92 / 642 » Robot Learning From Demonstration |
134
Voted
ATAL
2005
Springer
15 years 6 months ago
2005
Springer
Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...
102
Voted
ATAL
2009
Springer
15 years 7 months ago
2009
Springer
In several agent-oriented scenarios in the real world, an autonomous agent that is situated in an unknown environment must learn through a process of trial and error to take actio...
92
Voted
CVPR
2010
IEEE
15 years 9 months ago
2010
IEEE
We present an algorithm that learns invariant features from real data in an entirely unsupervised fashion. The principal benefit of our method is that it can be applied without hu...
114
click to vote
ICRA
2000
IEEE
15 years 5 months ago
2000
IEEE
We present a new localization algorithm called Sensor Resetting Localization which is an extension of Monte Carlo Localization. The algorithm adds sensor based resampling to Monte...
77
Voted
JFR
2010
14 years 7 months ago
2010
Robotic Sensor Networks (RSNs) find increasing use in environmental monitoring as RSNs can collect data from obscure, hard-to-reach places over long periods of time. This work rep...