AI Learning and Conceptual Transfer in the Game of Hidden Rules

Researchers at an undisclosed institution reported that Transformer-based Advantage Actor-Critic (A2C) agents successfully inferred hidden rules in the Game of Hidden Rules (GOHR) through trial-and-error feedback, with Feature-Centric and Object-Centric representations affecting learning and transfer. The study, submitted to arXiv on 26 Jun 2026, also analyzed rule difficulty and pseudo-bot-assisted human learning, demonstrating that representation design significantly impacts generalization and conceptual transfer.

Computer Science Artificial Intelligence Submitted on 26 Jun 2026 Title:AI Learning and Conceptual Transfer in the Game of Hidden Rules View PDF /pdf/2608.21372 HTML experimental https://arxiv.org/html/2608.21372v1 Abstract:This report summarizes the work conducted on the Game of Hidden Rules GOHR , focusing on reinforcement learning agents trained to infer hidden rules from trial-and-error feedback, representation design, rule difficulty analysis, transfer learning, generalization, and pseudo-bot-assisted human learning analysis. The report focuses on the Transformer-based A2C framework, Feature-Centric and Object-Centric representations, experimental findings, and classification of human learning data. References & Citations Loading... Bibliographic and Citation Tools Bibliographic Explorer What is the Explorer? https://info.arxiv.org/labs/showcase.html arxiv-bibliographic-explorer Connected Papers What is Connected Papers? https://www.connectedpapers.com/about Litmaps What is Litmaps? https://www.litmaps.co/ scite Smart Citations What are Smart Citations? https://www.scite.ai/ Code, Data and Media Associated with this Article alphaXiv What is alphaXiv? https://alphaxiv.org/ CatalyzeX Code Finder for Papers What is CatalyzeX? https://www.catalyzex.com DagsHub What is DagsHub? https://dagshub.com/ Gotit.pub What is GotitPub? http://gotit.pub/faq Hugging Face What is Huggingface? https://huggingface.co/huggingface ScienceCast What is ScienceCast? https://sciencecast.org/welcome Demos Recommenders and Search Tools Influence Flower What are Influence Flowers? https://influencemap.cmlab.dev/ CORE Recommender What is CORE? https://core.ac.uk/services/recommender arXivLabs: experimental projects with community collaborators arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs https://info.arxiv.org/labs/index.html .