Kolb-Based Experiential Learning for Generalist Agents with Human-Level Kaggle Data Science Performance

Abstract excerpt

<title>Abstract</title> <p>Human expertise emerges through iterative cycles of interaction, reflection, and internal model updating, which are central to cognitive theories such as Kolb’s experiential learning and Vygotsky’s zone of proximal development. In contrast, current AI systems, particularly large language models (LLMs) agents, rely on static pretraining or rigid workflows and lack mechanisms for continua...

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Literature Corpus work

13a733e4-5ea4-5c53-acfa-e7e2d44f00bf

DOI

10.21203/rs.3.rs-7472642/v1