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...
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...
There are many methodological approaches for Agent-Oriented Software Engineering, each one focusing on some features of multi-agent systems, but leaving others underdefined. For t...
A central goal of robotics and AI is to be able to deploy an agent to act autonomously in the real world over an extended period of time. It is commonly asserted that in order to ...