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ICRA
2009
IEEE
103views Robotics» more  ICRA 2009»
15 years 4 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 2 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 27 days 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 6 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 6 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