We present a distributed transactional memory (TM) scheduler called Bi-interval that optimizes the execution order of transactional operations to minimize conflicts. Bi-interval c...
The current framework of reinforcement learning is based on maximizing the expected returns based on scalar rewards. But in many real world situations, tradeoffs must be made amon...
— Assume a swarm of mobile robots is in the act of transporting a large object in the plane, by applying unilateral forces to the perimeter of that object. We address the questio...
Abstract. Usually object segmentation and motion estimation are considered (and modelled) as different tasks. For motion estimation this leads to problems arising especially at th...
The problem of finding an optimal bipartition of a rectangle set has a direct impact on query performance of dynamic R-trees. During update operations, overflowed nodes need to be...