Articles with "objective reinforcement" as a keyword



Multi-objective safe reinforcement learning: the relationship between multi-objective reinforcement learning and safe reinforcement learning

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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… read more here.

Keywords: objective reinforcement; multi objective; reinforcement learning; safe reinforcement ... See more keywords

Instilling moral value alignment by means of multi-objective reinforcement learning

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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… read more here.

Keywords: reinforcement learning; value; multi objective; objective reinforcement ... See more keywords

Multi-Objective Reinforcement Learning Based Healthcare Expansion Planning Considering Pandemic Events.

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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… read more here.

Keywords: objective reinforcement; multi objective; cost; expansion planning ... See more keywords

Energy-Efficient Trajectory Optimization With Wireless Charging in UAV-Assisted MEC Based on Multi-Objective Reinforcement Learning

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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… read more here.

Keywords: multi objective; objective reinforcement; energy; reinforcement learning ... See more keywords

Generalized Multi-Objective Reinforcement Learning With Envelope Updates in URLLC-Enabled Vehicular Networks

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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… read more here.

Keywords: multi objective; objective reinforcement; generalized multi; envelope ... See more keywords