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ALGORITHMICA
2002
84views more  ALGORITHMICA 2002»
13 years 9 months ago
Exploring Unknown Environments with Obstacles
We study exploration problems where a robot has to construct a complete map of an unknown environment using a path that is as short as possible. In the rst problem setting we cons...
Susanne Albers, Klaus Kursawe, Sven Schuierer
DAC
2005
ACM
14 years 10 months ago
Towards scalable flow and context sensitive pointer analysis
Pointer analysis, a classic problem in software program analysis, has emerged as an important problem to solve in design automation, at a time when complex designs, specified in t...
Jianwen Zhu
CORR
2010
Springer
105views Education» more  CORR 2010»
13 years 7 months ago
Optimism in Reinforcement Learning Based on Kullback-Leibler Divergence
We consider model-based reinforcement learning in finite Markov Decision Processes (MDPs), focussing on so-called optimistic strategies. Optimism is usually implemented by carryin...
Sarah Filippi, Olivier Cappé, Aurelien Gari...
ICIP
2008
IEEE
14 years 11 months ago
LASIC: A model invariant framework for correspondence
In this paper we address two closely related problems. The first is the object detection problem, i.e., the automatic decision of whether a given image represents a known object o...
Bernardo Rodrigues Pires, João Xavier, Jos&...
AAAI
2007
13 years 11 months ago
Anytime Coordination Using Separable Bilinear Programs
Developing scalable coordination algorithms for multi-agent systems is a hard computational challenge. One useful approach, demonstrated by the Coverage Set Algorithm (CSA), explo...
Marek Petrik, Shlomo Zilberstein