5 citations · 5 across the 3 of their papers we have counts for
3 papers
Generalised Gillespie Algorithms for Simulations in a Rule-Based Epidemiological Model Framework
David Alonso, Steffen Bauer, Markus Kirkilionis +2
Rule-based models have been successfully used to represent different aspects of the COVID-19 pandemic, including age, testing, hospitalisation, lockdowns, immunity, infectivity, be…
A Rule-Based Epidemiological Modelling Framework
David Alonso, Steffen Bauer, Markus Kirkilionis +2
Motivated by chemical reaction rules, we introduce a rule-based epidemiological framework for the systematic mathematical modelling of future pandemics. Here we stress that we do n…
Playing a Strategy Game with Knowledge-Based Reinforcement Learning
Viktor Voss, Liudmyla Nechepurenko, Rudi Schaefer +1
This paper presents Knowledge-Based Reinforcement Learning (KB-RL) as a method that combines a knowledge-based approach and a reinforcement learning (RL) technique into one method…