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Found 2 papers, 1 papers with code
Towards Generalizable Agents in Text-Based Educational Environments: A Study of Integrating RL with LLMs
In this paper, we aim to enhance the generalization capabilities of agents in open-ended text-based learning environments by integrating Reinforcement Learning (RL) with Large Language Models (LLMs).
Evaluating the Explainers: Black-Box Explainable Machine Learning for Student Success Prediction in MOOCs
Neural networks are ubiquitous in applied machine learning for education.
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