Towards Explaining Sequences of Actions in Multi-Agent Deep Reinforcement Learning Models

• المؤلفون الرئيسيون: KHAING, Phyo Wai, GENG, Minghong, SUBAGDJA, Budhitama, PATERIA, Shubham, TAN, Ah-hwee
• التنسيق: text
• اللغة: English
• منشور في: Institutional Knowledge at Singapore Management University 2023
• الموضوعات: Multi Agent Deep Reinforcement Learning; Explainable Artificial Intelligence; Explainable Deep Reinforcement Learning; Databases and Information Systems
• الوصول للمادة أونلاين: https://ink.library.smu.edu.sg/sis_research/8076; https://ink.library.smu.edu.sg/context/sis_research/article/9079/viewcontent/p2325.pdf
• المؤسسة: Singapore Management University

Although Multi-agent Deep Reinforcement Learning (MADRL) has shown promising results in solving complex real-world problems, the applicability and reliability of MADRL models are often limited by a lack of understanding of their inner workings for explaining the decisions made. To address this issue...