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» Approximate Learning of Dynamic Models
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ICRA
2002
IEEE
147views Robotics» more  ICRA 2002»
15 years 10 months ago
Design of Asymptotically Stable Walking for a 5-Link Planar Biped Walker via Optimization
— Closed-loop, asymptotically stable walking motions are designed for a 5-link, planar bipedal robot model with one degree of underactuation. Parameter optimization is applied to...
E. R. Westervelt, J. W. Grizzle
156
Voted
ATAL
2008
Springer
15 years 7 months ago
A statistical relational model for trust learning
We address the learning of trust based on past observations and context information. We argue that from the truster's point of view trust is best expressed as one of several ...
Achim Rettinger, Matthias Nickles, Volker Tresp
JAIR
2008
148views more  JAIR 2008»
15 years 5 months ago
Learning Partially Observable Deterministic Action Models
We present exact algorithms for identifying deterministic-actions' effects and preconditions in dynamic partially observable domains. They apply when one does not know the ac...
Eyal Amir, Allen Chang
CI
2002
92views more  CI 2002»
15 years 4 months ago
Model Selection in an Information Economy: Choosing What to Learn
As online markets for the exchange of goods and services become more common, the study of markets composed at least in part of autonomous agents has taken on increasing importance...
Christopher H. Brooks, Robert S. Gazzale, Rajarshi...
ICML
2007
IEEE
16 years 5 months ago
Most likely heteroscedastic Gaussian process regression
This paper presents a novel Gaussian process (GP) approach to regression with inputdependent noise rates. We follow Goldberg et al.'s approach and model the noise variance us...
Kristian Kersting, Christian Plagemann, Patrick Pf...