While many real-world combinatorial problems can be advantageously modeled and solved using Constraint Programming, scalability remains a major issue in practice. Constraint models...
Kenneth M. Bayer, Martin Michalowski, Berthe Y. Ch...
— We develop decentralized controllers for a swarm of robots to generate a desired two-dimensional geometric pattern specified by a smooth function while maintaining specified ...
We deal with the search process of the GraphPlan algorithm in this paper. We concentrate on a problem of finding supports for a sub-goal which arises during the search. We model t...
Because many real-world problems can be represented and solved as constraint satisfaction problems, the development of effective, efficient constraint solvers is important. A solv...
In this paper we propose a new approach for semi-supervised structured output learning. Our approach uses relaxed labeling on unlabeled data to deal with the combinatorial nature ...
Paramveer S. Dhillon, S. Sathiya Keerthi, Kedar Be...