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IROS
2007
IEEE
168views Robotics» more  IROS 2007»
15 years 11 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...
NOCS
2007
IEEE
15 years 11 months ago
A Hybrid Analog-Digital Routing Network for NoC Dynamic Routing
Dynamic routing can substantially enhance the quality of service for multiprocessor communication, and can provide intelligent adaptation of faulty links during run time. Implemen...
Terrence S. T. Mak, N. Pete Sedcole, Peter Y. K. C...
GECCO
2006
Springer
127views Optimization» more  GECCO 2006»
15 years 8 months ago
Multiobjective genetic algorithms for multiscaling excited state direct dynamics in photochemistry
This paper studies the effectiveness of multiobjective genetic and evolutionary algorithms in multiscaling excited state direct dynamics in photochemistry via rapid reparameteriza...
Kumara Sastry, D. D. Johnson, Alexis L. Thompson, ...
GECCO
2008
Springer
168views Optimization» more  GECCO 2008»
15 years 6 months ago
Parameterizing pair approximations for takeover dynamics
Pair approximations have often been used to predict equilibrium conditions in spatially-explicit epidemiological and ecological systems. In this work, we investigate whether this ...
Joshua L. Payne, Margaret J. Eppstein
IPPS
2006
IEEE
15 years 11 months ago
Dynamic resource allocation of computer clusters with probabilistic workloads
Real-time resource scheduling is an important factor for improving the performance of cluster computing. In many distributed and parallel processing systems, particularly real-tim...
Marwan S. Sleiman, Lester Lipsky, Robert Sheahan