What is Reinforcement Learning (RL)

The chapter's goal is to present a novel computational cognitive neuroscience framework. This framework is proposed by the author to conceptually facilitate the integration of such technology features as customization of engaging game attributes, computational simulation of real-life actions in virtual reality environments, and computational modelling of accurate evaluation and intervention techniques with demonstrated effectiveness for autistic adults. The autistic adults-centered design is proposed as the core method to implement this framework throughout phases and stages used in the presented virtual-reality-game-based technology development pipeline. This method allows them to co-design and choose in-game learning preferred strategies. This computational cognitive neuroscience framework is oriented to stakeholders in the educational technology field interested in promoting equity and inclusion by playing a role as co-designers of effective, comprehensive, and engaging assessment and intervention technology-based support to empower underrepresented autistic communities.