3 papers
cs.LG2025
Variational Quantum Optimization with Continuous Bandits
Marc Wanner, Johan Jonasson, Emil Carlsson +1
We introduce a novel approach to variational Quantum algorithms (VQA) via continuous bandits. VQA are a class of hybrid Quantum-classical algorithms where the parameters of Quantum…
cs.CL2025
Learning Efficient Recursive Numeral Systems via Reinforcement Learning
Andrea Silvi, Jonathan Thomas, Emil Carlsson +2
It has previously been shown that by using reinforcement learning (RL), agents can derive simple approximate and exact-restricted numeral systems that are similar to human ones (Ca…
cs.LG2024
Active Preference Learning for Ordering Items In- and Out-of-sample
Herman Bergström, Emil Carlsson, Devdatt Dubhashi +1
Learning an ordering of items based on pairwise comparisons is useful when items are difficult to rate consistently on an absolute scale, for example, when annotators have to make…