IEEE

Enhancing Logic Error Detection Through Program Pseudocodes

Abstract: This research introduces a system that combines Graph Neural Networks and Machine Learning to accurately pinpoint logic errors in programming. Unlike syntax errors which compilers can easily ...
IEEE

Adaptive Environment Generation for Continual Learning: Integrating Constraint Logic Programming With Deep Reinforcement Learning

Abstract: In this article, we introduce a novel framework that combines constraint logic programming (CLP) with deep reinforcement learning (DRL) to create adaptive environments for continual learning ...