Dynamic Difficulty Adjustment (DDA) aims to personalize game challenge by adapting AI behavior to player skill, supporting engagement and sustained motivation. In this work, we present a population-based evaluation framework for DDA in Repeated Rock-Paper-Scissors. Agents are trained against a diverse population of rule-based bots to achieve a prescribed win-loss-draw distribution. Experimental results demonstrate that population-based RL enables agents to closely match target outcome distributions and generalize well to novel opponents, illustrating the promise of our approach for scalable, robust DDA.

This paper presents Baked Burger Bash, a serious game that aims to enhance a drug prevention program for adolescents using virtual reality (VR). The game is based on a simulation of acute cannabinoid intoxication embedded in an interactive cooking game. The player takes on the role of a food truck chef who needs to serve up the orders of passers-by. Various effects of intoxication make it hard to live up to the customers’ expectations. In this paper, we present the scientific background, insights from formative playtests, and feedback from a drug prevention expert who guided the iterative development.

In contrast to neural networks, learning classifier systems are no “black box” algorithm. They provide rule-based artificial intelligence, which can easily be analysed, interpreted and even adapted by humans. We constructed an agent based on such a learning classifier system and trained it to play in a competitive snake environment by utilizing reinforcement learning and self-play methods. Our preliminary experiments show promising results that we plan to extend on in the future.

In this demo paper, we present the design of a virtual reality (VR) first-person shooter (FPS) in which the player fends off waves of hostile flying swarm robots that took over the Earth. The purpose of this serious game is to train the player in understanding networks by learning how to dismantle them. We explain the play and game mechanics and the level designs tailored to provide an engaging experience and to re-enforce the network perspective of the swarm dynamics.