This paper presents a method of vision-based reinforcement learning by which a robot learns to shoot a ball into a goal, and discusses several issues in applying the reinforcement...
Originally, genetic algorithms were developed based on the binary representation of candidate solutions in which each conjectured solution is a fixed-length string of binary numb...
Genetic algorithms—a class of stochastic population-based optimization techniques—have been widely realized as the effective tools to solve complicated optimization problems ...
Abstract—The widespread availability of mobile wireless devices offers growing opportunities for the formation of temporary networks with only intermittent connectivity. These in...
Nathanael Thompson, Samuel C. Nelson, Mehedi Bakht...
Use-after-free vulnerabilities exploiting so-called dangling pointers to deallocated objects are just as dangerous as buffer overflows: they may enable arbitrary code execution. U...