Software quality can be assured by passing the process of software testing. However,
software testing process involve many phases which lead to more resources and time …

The International Workshop on Learning Classifier Systems (IWLCS) is an annual workshop
at the GECCO conference where new concepts and results regarding learning classifier …

With the rise of test automation, companies start to rely on large amounts of test cases.
However, there are situations where it is unfeasible to perform every test case as only a …

❖ Interpretability by design• Knowledge represented by IF-THEN rules• Allows for explicit
injection of expert knowledge❖ Complexity reduction by design❖ Online adaptivity to …

Learning is a key capability in self-adaptive and self-organising systems to deal with
dynamically changing conditions, unanticipated operational incidences, and open system …

For many everyday devices, each newly released model contains more functionality. This
technological advance relies heavily on software solutions of increasing complexity which …

Reinforcement Learning has gained much attention in the last decade, leading to substantial
progress in Artificial Intelligence and its applications, especially in games and other areas …

Abstract The complexity of Graphical User Interfaces (GUIs) in consumer applications such
as home appliances has significantly risen in recent years. For example, the number of …

Deep reinforcement learning with Experience Replay (ER), including Deep Q-Network
(DQN), has been used to solve many multi-step learning problems. However, in practice …

The paper describes the first attempts toward designing and evaluating Anticipatory
Classifier System ACS2 in conjunction with Experience Replay (ER). Promising results …