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GECCO
2009
Springer
124views Optimization» more  GECCO 2009»
13 years 11 months ago
Reinforcement learning for games: failures and successes
We apply CMA-ES, an evolution strategy with covariance matrix adaptation, and TDL (Temporal Difference Learning) to reinforcement learning tasks. In both cases these algorithms se...
Wolfgang Konen, Thomas Bartz-Beielstein
AROBOTS
2000
179views more  AROBOTS 2000»
13 years 7 months ago
A Gesture Based Interface for Human-Robot Interaction
Service robotics is currently a pivotal research area in robotics, with enormous societal potential. Since service robots directly interact with people, nding natural" and ea...
Stefan Waldherr, Roseli Romero, Sebastian Thrun
NIPS
1994
13 years 8 months ago
Catastrophic Interference in Human Motor Learning
Biological sensorimotor systems are not static maps that transform input sensory information into output motor behavior. Evidence from many lines of research suggests that their r...
Tom Brashers-Krug, Reza Shadmehr, Emanuel Todorov
NIPS
1997
13 years 8 months ago
Computing with Action Potentials
Most computational engineering based loosely on biology uses continuous variables to represent neural activity. Yet most neurons communicate with action potentials. The engineerin...
John J. Hopfield, Carlos D. Brody, Sam T. Roweis
NN
1998
Springer
151views Neural Networks» more  NN 1998»
13 years 6 months ago
Evolutionary neurocontrollers for autonomous mobile robots
In this article we describe a methodology for evolving neurocontrollers of autonomous mobile robots without human intervention. The presentation, which spans from technological an...
Dario Floreano, Francesco Mondada