This paper presents a solution to the problem of unsupervised classification of dynamic obstacles in urban environments. A track-based model is introduced for the integration of 2...
In moving object environments, it is infeasible for the database tracking the movement of objects to store the exact locations of objects at all times. Typically, the location of a...
Reynold Cheng, Sunil Prabhakar, Dmitri V. Kalashni...
In this article, we propose a method to adapt stepsize parameters used in reinforcement learning for dynamic environments. In general reinforcement learning situations, a stepsize...
Abstract. A popular approach to compositional verification of component-based applications is based on the assume-guarantee paradigm, where an assumption models behavior of an env...
The popularity of distributed learning and the continued growth in the number of colleges and universities offering courses delivered entirely via asynchronous learning networks (...