Article

EXPLAINABLE REINFORCEMENT LEARNING FOR TRANSPARENT AUTONOMOUS DECISION SYSTEMS

2026-02-27

Abstract excerpt

Reinforcement Learning (RL) enables autonomous agents to learn optimal decision-making methods through their continuous interactions with changing environments. RL-based systems are widely used in fields including robotics and intelligent transportation and smart grid management and healthcare automation and industrial control systems. Most reinforcement learning models operate as black-box systems which identify...

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Literature Corpus work: 3209fb0b-22ba-562e-b726-0c48398849b1
DOI: 10.22541/au.177222571.15877912/v1

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