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MP
2006
107views more  MP 2006»
13 years 7 months ago
Convergence theory for nonconvex stochastic programming with an application to mixed logit
Monte Carlo methods have been used extensively in the area of stochastic programming. As with other methods that involve a level of uncertainty, theoretical properties are required...
Fabian Bastin, Cinzia Cirillo, Philippe L. Toint
IROS
2007
IEEE
168views Robotics» more  IROS 2007»
14 years 2 months ago
Improving humanoid locomotive performance with learnt approximated dynamics via Gaussian processes for regression
Abstract— We propose to improve the locomotive performance of humanoid robots by using approximated biped stepping and walking dynamics with reinforcement learning (RL). Although...
Jun Morimoto, Christopher G. Atkeson, Gen Endo, Go...
TROB
2010
129views more  TROB 2010»
13 years 6 months ago
A Probabilistic Particle-Control Approximation of Chance-Constrained Stochastic Predictive Control
—Robotic systems need to be able to plan control actions that are robust to the inherent uncertainty in the real world. This uncertainty arises due to uncertain state estimation,...
Lars Blackmore, Masahiro Ono, Askar Bektassov, Bri...
AAAI
1998
13 years 9 months ago
Multimodal Reasoning for Automatic Model Construction
This paper describes a program called Pret that automates system identification, the process of finding a dynamical model of a black-box system. Pret performs both structural iden...
Reinhard Stolle, Elizabeth Bradley
IPPS
2003
IEEE
14 years 1 months ago
Targeting Tiled Architectures in Design Exploration
Tiled architectures can provide a model for early estimation of global interconnect costs. A design exploration tool for reconfigurable architectures is currently under developmen...
Lilian Bossuet, Wayne Burleson, Guy Gogniat, Vikas...