Human-Centered AI using Ethical Causality and Learning Representation for Multi-Agent Deep Reinforcement Learning

2021 IEEE 2nd International Conference on Human-Machine Systems (ICHMS)(2021)

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摘要
Human-Centered Computing and AI are two fields devoted to several cross-intersecting interests in the modern AI design. They consider human factors and the machine learning algorithms to enhance compatibility and reliability for human-robot interaction and cooperation. In this work, we propose a novel design concept for the challenging issues that have raised ethical dilemmas; an augmented ethical...
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关键词
Multi-Agent Deep Reinforcement Learning,Ethical Causality,Successor Representation,Human-CenteredAI
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