Towards Explaining Sequences of Actions in Multi-Agent Deep Reinforcement Learning Models
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...
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Main Authors: | KHAING, Phyo Wai, GENG, Minghong, SUBAGDJA, Budhitama, PATERIA, Shubham, TAN, Ah-hwee |
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格式: | text |
語言: | English |
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Institutional Knowledge at Singapore Management University
2023
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在線閱讀: | https://ink.library.smu.edu.sg/sis_research/8076 https://ink.library.smu.edu.sg/context/sis_research/article/9079/viewcontent/p2325.pdf |
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