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IROS
2006
IEEE
121views Robotics» more  IROS 2006»
16 years 20 days ago
Planning and Acting in Uncertain Environments using Probabilistic Inference
— An important problem in robotics is planning and selecting actions for goal-directed behavior in noisy uncertain environments. The problem is typically addressed within the fra...
Deepak Verma, Rajesh P. N. Rao
EMO
2005
Springer
126views Optimization» more  EMO 2005»
16 years 5 days ago
The Evolution of Optimality: De Novo Programming
Abstract. Evolutionary algorithms have been quite effective in dealing with single-objective “optimization” while the area of Evolutionary Multiobjective Optimization (EMOO) h...
Milan Zeleny
WEBI
2005
Springer
16 years 3 days ago
Providing Expert Advice by Analogy for On-Line Help
One of the principal problems of online help is the mismatch between the specialized knowledge and technical vocabulary of experts who are providing the help, and the relative na...
Henry Lieberman, Ashwani Kumar
ECAI
2004
Springer
16 years 1 days ago
Adversarial Constraint Satisfaction by Game-Tree Search
Many decision problems can be modelled as adversarial constraint satisfaction, which allows us to integrate methods from AI game playing. In particular, by using the idea of oppone...
Kenneth N. Brown, James Little, Páidí...
176
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CDC
2009
IEEE
118views Control Systems» more  CDC 2009»
15 years 11 months ago
Opportunistic scheduling in cellular systems in the presence of non-cooperative mobiles
Abstract— A central scheduling problem in wireless communications is that of allocating resources to one of many mobile stations that have a common radio channel. Much attention ...
Kavitha Veeraruna, Eitan Altman, Rachid El Azouzi,...