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NIPS
2008
13 years 8 months ago
Bayesian Kernel Shaping for Learning Control
In kernel-based regression learning, optimizing each kernel individually is useful when the data density, curvature of regression surfaces (or decision boundaries) or magnitude of...
Jo-Anne Ting, Mrinal Kalakrishnan, Sethu Vijayakum...
IROS
2006
IEEE
127views Robotics» more  IROS 2006»
14 years 1 months ago
Learning Predictive Features in Affordance based Robotic Perception Systems
This work is about the relevance of Gibson’s concept of affordances [1] for visual perception in interactive and autonomous robotic systems. In extension to existing functional ...
Gerald Fritz, Lucas Paletta, Ralph Breithaupt, Eri...
MIRRORBOT
2005
Springer
139views Robotics» more  MIRRORBOT 2005»
14 years 26 days ago
A Virtual Reality Platform for Modeling Cognitive Development
We present a virtual reality platform for developing and evaluating embodied models of cognitive development. The platform facilitates structuring of the learning agent, of its vi...
Hector Jasso, Jochen Triesch
ROBOCUP
2004
Springer
110views Robotics» more  ROBOCUP 2004»
14 years 21 days ago
UCHILSIM: A Dynamically and Visually Realistic Simulator for the RoboCup Four Legged League
UCHILSIM is a robotic simulator specially developed for the RoboCup four-legged league. It reproduces with high accuracy the dynamics of AIBO motions and its interactions with the ...
Juan Cristóbal Zagal, Javier Ruiz-del-Solar
NIPS
2004
13 years 8 months ago
Responding to Modalities with Different Latencies
Motor control depends on sensory feedback in multiple modalities with different latencies. In this paper we consider within the framework of reinforcement learning how different s...
Fredrik Bissmarck, Hiroyuki Nakahara, Kenji Doya, ...