This poster investigates the use of Evolutionary Algorithms (EAs) to optimise solutions to the Dynamic Aircraft Landing Problem (DALP). The approach adopted here uses an EA to evo...
— Most existing work uses dual decomposition and subgradient methods to solve network optimization problems in a distributed manner, which suffer from slow convergence rate prope...
Ali Jadbabaie, Asuman E. Ozdaglar, Michael Zargham
Reward-based scheduling refers to the problem in which there is a reward associated with the execution of a task. In our framework, each real-time task comprises a mandatory and a...
Abstract— Controlling the topology of a wireless ad hoc network is very important from the point of view of performance. One known technique for controlling the topology is throu...
Many robot control problems of practical importance, including operational space control, can be reformulated as immediate reward reinforcement learning problems. However, few of ...