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Generalised Gillespie Algorithms for Simulations in a Rule-Based Epidemiological Model Framework
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.
A Rule-Based Epidemiological Modelling Framework
Each single of our variety of models, called framework, is based on a mathematical formulation that we call a rule-based system.
Playing a Strategy Game with Knowledge-Based Reinforcement Learning
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.
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