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Published in 2019 at "Artificial Life and Robotics"
DOI: 10.1007/s10015-019-00523-3
Abstract: Reinforcement learning (RL) is a learning method that learns actions based on trial and error. Recently, multi-objective reinforcement learning (MORL) and safe reinforcement learning (SafeRL) have been studied. The objective of conventional RL is to…
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Keywords:
objective reinforcement;
multi objective;
reinforcement learning;
safe reinforcement ... See more keywords
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Published in 2022 at "Ethics and Information Technology"
DOI: 10.1007/s10676-022-09635-0
Abstract: AI research is being challenged with ensuring that autonomous agents learn to behave ethically, namely in alignment with moral values. Here, we propose a novel way of tackling the value alignment problem as a two-step…
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Keywords:
reinforcement learning;
value;
multi objective;
objective reinforcement ... See more keywords
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Published in 2022 at "IEEE journal of biomedical and health informatics"
DOI: 10.1109/jbhi.2022.3187950
Abstract: Hospital capacity expansion planning is critical for a healthcare authority, especially in regions with a growing diverse population. Policymaking to this end often requires satisfying two conflicting objectives, minimizing capacity expansion cost and minimizing the…
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Keywords:
objective reinforcement;
multi objective;
cost;
expansion planning ... See more keywords
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Published in 2024 at "IEEE Transactions on Mobile Computing"
DOI: 10.1109/tmc.2024.3384405
Abstract: This paper investigates the problem of energy-efficient trajectory optimization with wireless charging (ETWC) in an unmanned aerial vehicle (UAV)-assisted mobile edge computing system. A UAV is dispatched to collect computation tasks from specific ground smart…
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Keywords:
multi objective;
objective reinforcement;
energy;
reinforcement learning ... See more keywords
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Published in 2024 at "IEEE Transactions on Vehicular Technology"
DOI: 10.1109/tvt.2025.3580502
Abstract: We develop a novel multi-objective reinforcement learning (MORL) framework to jointly optimize wireless network selection and autonomous driving policies in a multi-band vehicular network operating on conventional sub-6 GHz spectrum and Terahertz frequencies. The proposed…
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Keywords:
multi objective;
objective reinforcement;
generalized multi;
envelope ... See more keywords