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AI Learning and Conceptual Transfer in the Game of Hidden Rules
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关键摘要
arXiv:2608.…
- 21372v1 Announce Type: new Abstract: This report summarizes the work c…
- The report focuses on the Transformer-based A2C framework, Feature-Cen…
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正文提要
arXiv:2608.21372v1 Announce Type: new 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.