Generalised Gillespie Algorithms for Simulations in a Rule-Based Epidemiological Model Framework

no code implementations • 17 Oct 2022 • David Alonso, Steffen Bauer, Markus Kirkilionis, Lisa Maria Kreusser, Luca Sbano

These rule-based approaches are motivated by chemical reaction rules which are traditionally solved numerically with the standard Gillespie algorithm proposed in the context of molecular dynamics.

Epidemiology

A rule-based epidemiological framework for modelling and simulation in the context of the covid-19 pandemic

no code implementations • 14 Nov 2021 • David Alonso, Steffen Bauer, Markus Kirkilionis, Lisa Maria Kreusser, Luca Sbano

Here we stress that we do not have a specific model in mind, but a whole collection of models which can be transformed into each other, or represent different aspects of the pandemic.

Model Selection

Playing a Strategy Game with Knowledge-Based Reinforcement Learning

no code implementations • 15 Aug 2019 • Viktor Voss, Liudmyla Nechepurenko, Dr. Rudi Schaefer, Steffen Bauer

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 for intelligent problem solving.

reinforcement-learning Reinforcement Learning (RL)