We examine the effect of noise on societies of agents using an agent-bas...
After a decade of on-demand mobility services that change spatial behavi...
Biological systems often choose actions without an explicit reward signa...
Traditionally, Euclidean geometry is treated by scientists as a priori a...
We introduce a novel framework to identify perception-action loops (PALO...
One difficulty in using artificial agents for human-assistive applicatio...
A challenge in using fully autonomous robots in human-robot interaction ...
We offer a new approach to the information decomposition problem in
info...
We participated in the RoboCup 2018 competition in Montreal with our new...
Active inference is an ambitious theory that treats perception, inferenc...
This is a contribution to the formalization of the concept of agents in
...
One aspect of intelligence is the ability to restructure your own enviro...
We apply kernel-based methods to solve the difficult reinforcement learn...
This paper develops generalizations of empowerment to continuous states....