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...
Online social networks are enjoying drastic increase in their population and connectivity. One of the fundamental issues in these networks is trust, which is an essential factor in...
— This paper considers the problem of coordinating multiple vehicles with kinodynamic constraints that operate in the same partially-known environment. The vehicles are able to c...
Kostas E. Bekris, Konstantinos I. Tsianos, Lydia E...
We consider the problem of having a team of Unmanned Aerial Vehicles (UAV) and Unmanned Ground Vehicles (UGV) pursue a second team of evaders while concurrently building a map in a...
Consider the task of a mobile robot autonomously navigating through an environment while detecting and mapping objects of interest using a noisy object detector. The robot must re...