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» The Computational Complexity of Probabilistic Planning
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NIPS
1993
15 years 1 months ago
Using Local Trajectory Optimizers to Speed Up Global Optimization in Dynamic Programming
Dynamic programming provides a methodology to develop planners and controllers for nonlinear systems. However, general dynamic programming is computationally intractable. We have ...
Christopher G. Atkeson
CHI
2008
ACM
15 years 1 months ago
Introducing item response theory for measuring usability inspection processes
Usability evaluation methods have a long history of research. Latest contributions significantly raised the validity of method evaluation studies. But there is still a measurement...
Martin Schmettow, Wolfgang Vietze
ECCV
2006
Springer
16 years 1 months ago
Multi-way Clustering Using Super-Symmetric Non-negative Tensor Factorization
Abstract. We consider the problem of clustering data into k 2 clusters given complex relations -- going beyond pairwise -- between the data points. The complex n-wise relations ar...
Amnon Shashua, Ron Zass, Tamir Hazan
MOBIHOC
2005
ACM
15 years 11 months ago
Power balanced coverage-time optimization for clustered wireless sensor networks
We consider a wireless sensor network in which sensors are grouped into clusters, each with its own cluster head (CH). Each CH collects data from sensors in its cluster and relays...
Tao Shu, Marwan Krunz, Sarma B. K. Vrudhula
ICNC
2009
Springer
15 years 6 months ago
Model-Free Learning and Control in a Mobile Robot
A model-free, biologically-motivated learning and control algorithm called S-learning is described as implemented in an Surveyor SRV-1 mobile robot. S-learning demonstrated learni...
Brandon Rohrer, Michael Bernard, J. Daniel Morrow,...