Loop-weighted walk is a one-parameter family of non-Markovian random walks that arise naturally in statistical mechanics. A loop-weighted walk receives weight $\lambda^{k}$ if it contains $k$ loops; whether this is a reward or punishment depends on the value of the parameter $\lambda$. A challenging feature of the model is that it is not purely repulsive, meaning the weight of the future of a...