Markov processes restarted or reset at random times to a fixed state or region in space have
been actively studied recently in connection with random searches, foraging, and …

In this work, we ask for and answer what makes classical temporal-difference reinforcement
learning with ϵ \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{…

We study the distribution of additive functionals of reset Brownian motion, a variation of
normal Brownian motion in which the path is interrupted at a given rate and placed back to a …

Problem definition: This paper addresses the question whether or not self-learning algorithms
can learn to collude instead of compete against each other, without violating existing …

We examine recent claims that a particular Q-learning algorithm used by
competitorsautonomously'and systematically learns to collude, resulting in supracompetitive prices …

We develop a method based on computer algebra systems to represent the mutual pure
strategy best-response dynamics of symmetric two-player, two-action repeated games played …

The mammalian circadian clock is located in the suprachiasmatic nucleus (SCN) and consists
of a network of coupled neurons, which are entrained to the environmental light-dark cycle…

Recent mathematical results for the noisy Kuramoto model on a 2-community network may
explain some phenomena observed in the functioning of the suprachiasmatic nucleus (SCN). …

We provide conditions for the weak acyclicity of symmetric games in which the best-response
function is unique. In this case, the individual best-response graphs (a concept we …

We generalize the study of the noisy Kuramoto model, considered on a network of two
interacting communities, to the case where the interaction strengths within and across …