Agent-based computing represents an exciting new synthesis both for Artificial Intelligence (AI) and, more generally, Computer Science. It has the potential to significantly impro...
We introduce TiMDPpoly, an algorithm designed to solve planning problems with durative actions, under probabilistic uncertainty, in a non-stationary, continuous-time context. Miss...
Navigation is important both for insects to perform living tasks and robots to perform assigned tasks. We propose a CMOS image sensor for autonomous agent navigation which mimicks ...
Mukul Sarkar, David San Segundo Bello, Chris Van H...
Current state-of?the-art spoken dialog systems are aimed at handling telephone calls to automate incoming caller requests. In this paper we explore a scenario which is symmetric t...
Abstract a paradigm of modern Machine Learning (ML) which uses rewards and punishments to guide the learning process. One of the central ideas of RL is learning by “direct-online...