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ECCC
2007
180views more  ECCC 2007»
14 years 9 months ago
Adaptive Algorithms for Online Decision Problems
We study the notion of learning in an oblivious changing environment. Existing online learning algorithms which minimize regret are shown to converge to the average of all locally...
Elad Hazan, C. Seshadhri
66
Voted
ICCS
2005
Springer
15 years 3 months ago
Adaptive Smoothing Neural Networks in Foreign Exchange Rate Forecasting
This study proposes a novel forecasting approach – an adaptive smoothing neural network (ASNN) – to predict foreign exchange rates. In this new model, adaptive smoothing techni...
Lean Yu, Shouyang Wang, Kin Keung Lai
76
Voted
RAS
2010
104views more  RAS 2010»
14 years 8 months ago
A hybrid controller based on the egocentric perceptual principle
In this paper we extend the control methodology based on Extended Markov Tracking (EMT) by providing the control algorithm with capabilities to calibrate and even partially recons...
Zinovi Rabinovich, Nicholas R. Jennings
ICRA
2010
IEEE
164views Robotics» more  ICRA 2010»
14 years 8 months ago
Biomimetic motor behavior for simultaneous adaptation of force, impedance and trajectory in interaction tasks
— Interaction of a robot with dynamic environments would require continuous adaptation of force and impedance, which is generally not available in current robot systems. In contr...
Ganesh Gowrishankar, Alin Albu-Schäffer, Haru...
SIGGRAPH
2010
ACM
15 years 2 months ago
Learning behavior styles with inverse reinforcement learning
We present a method for inferring the behavior styles of character controllers from a small set of examples. We show that a rich set of behavior variations can be captured by dete...
Seong Jae Lee, Zoran Popovic