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ECAL
2001
Springer
15 years 9 months ago
Evolution of Reinforcement Learning in Uncertain Environments: Emergence of Risk-Aversion and Matching
Reinforcement learning (RL) is a fundamental process by which organisms learn to achieve a goal from interactions with the environment. Using Artificial Life techniques we derive ...
Yael Niv, Daphna Joel, Isaac Meilijson, Eytan Rupp...
ICML
1996
IEEE
15 years 9 months ago
Discovering Structure in Multiple Learning Tasks: The TC Algorithm
Recently, there has been an increased interest in "lifelong" machine learning methods, that transfer knowledge across multiple learning tasks. Such methods have repeated...
Sebastian Thrun, Joseph O'Sullivan
ICRA
2002
IEEE
148views Robotics» more  ICRA 2002»
15 years 10 months ago
A Neural Approach to Adaptive Behavior and Multi-Sensor Action Selection in a Mobile Device
Sampling multisensory information and taking the appropriate motor action is critical for a biological organism’s survival, but a difficult task for robots. We present a Neurally...
Jeffrey L. Krichmar, James A. Snook
ICRA
2009
IEEE
147views Robotics» more  ICRA 2009»
15 years 11 months ago
Milligram-scale high-voltage power electronics for piezoelectric microrobots
— Piezoelectric actuators can achieve high efficiency and power density in very small geometries, which shows promise for microrobotic applications, such as flapping-wing robot...
Michael Karpelson, Gu-Yeon Wei, Robert J. Wood
161
Voted
CRV
2005
IEEE
192views Robotics» more  CRV 2005»
15 years 10 months ago
3D Reconstruction of Environments for Planetary Exploration
In this paper we present our approach to 3D surface reconstruction from large sparse range data sets. In space robotics constructing an accurate model of the environment is very i...
Sebastien Gemme, Joseph Nsasi Bakambu, Ioannis M. ...