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ICRA
2009
IEEE
103views Robotics» more  ICRA 2009»
15 years 5 months ago
Prioritizing linear equality and inequality systems: Application to local motion planning for redundant robots
We present a novel method for prioritizing both linear equality and inequality systems and provide one algorithm for its resolution. This algorithm can be summarized as a sequence ...
Oussama Kanoun, Florent Lamiraux, Pierre-Brice Wie...
CORR
2012
Springer
192views Education» more  CORR 2012»
14 years 3 months ago
The best of both worlds: stochastic and adversarial bandits
We present a bandit algorithm, SAO (Stochastic and Adversarial Optimal), whose regret is, essentially, optimal both for adversarial rewards and for stochastic rewards. Specifical...
Sébastien Bubeck, Aleksandrs Slivkins
IPPS
2006
IEEE
16 years 1 months ago
An optimal architecture for a DDC
Digital Down Conversion (DDC) is an algorithm, used to lower the amount of samples per second by selecting a limited frequency band out of a stream of samples. A possible DDC algo...
Tjerk Bijlsma, Pascal T. Wolkotte, Gerard J. M. Sm...
AI
1999
Springer
15 years 7 months ago
Bucket Elimination: A Unifying Framework for Reasoning
Bucket elimination is an algorithmic framework that generalizes dynamic programming to accommodate many problem-solving and reasoning tasks. Algorithms such as directional-resolut...
Rina Dechter
TSMC
1998
78views more  TSMC 1998»
15 years 7 months ago
Automata learning and intelligent tertiary searching for stochastic point location
—Consider the problem of a robot (learning mechanism or algorithm) attempting to locate a point on a line. The mechanism interacts with a random environment which essentially inf...
B. John Oommen, Govindachari Raghunath