Reinforcement learning (RL) was originally proposed as a framework to allow agents to learn in an online fashion as they interact with their environment. Existing RL algorithms co...
Pascal Poupart, Nikos A. Vlassis, Jesse Hoey, Kevi...
— We consider the problem of tracking multiple agents moving amongst obstacles, using multiple cameras. Given an environment with obstacles, and many people moving through it, we...
We introduce and investigate a natural extension of Dung’s well-known model of argument systems in which attacks are associated with a weight, indicating the relative strength o...
Paul E. Dunne, Anthony Hunter, Peter McBurney, Sim...
Abstract—Security requirements often have implicit assumptions about trust relationships among actors. The more actors trust each other, the less stringent the security requireme...
Abstract— We consider the synchronization problem of an arbitrary number of coupled nonlinear oscillators with delays in the interconnections. The emphasis is on coupled Lorenz s...