"Looking for things" is a mundane but critical task we repeatedly carry on in our daily life. We introduce method to develop human character capable of searching randomly located target object detailed 3D scene using its locomotion capability and egocentric vision perception represented as RGBD images. By depriving the privileged information from character, it forced move look around simultaneo...

Gravitational search algorithm (GSA) is one of the newest swarm based optimization algorithms, which has been inspired by the Newtonian laws of gravity and motion. GSA has empirically shown to be an efficient and robust stochastic search algorithm. Since introducing GSA a convergence analysis of this algorithm has not yet been developed. This paper introduces the first attempt to a formal conve...

Gravitational search algorithm (GSA) is one of the newest swarm based optimization algorithms, which has been inspired by the Newtonian laws of gravity and motion. GSA has empirically shown to be an efficient and robust stochastic search algorithm. Since introducing GSA a convergence analysis of this algorithm has not yet been developed. This paper introduces the first attempt to a formal conve...

This paper studies how the potential duration of unemployment benefits affects early job search behavior and re-employment outcomes. We exploit an unexpected reform German insurance (UI) scheme in 2008, which increased benefit from 12 to 15 months for recipients age 50 54. Based on detailed survey data a difference-in-differences design, we estimate that one additional month reduces application...