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Published in 2022 at "ACS applied materials & interfaces"
DOI: 10.1021/acsami.1c23610
Abstract: Developing amorphous polymers with desirable thermal conductivity has significant implications, as they are ubiquitous in applications where thermal transport is critical. Conventional Edisonian approaches are slow and without guarantee of success in material development. In…
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Keywords:
amorphous polymers;
reinforcement learning;
polymers using;
conductivity ... See more keywords
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Published in 2024 at "Scientific Reports"
DOI: 10.1038/s41598-024-72857-3
Abstract: The usage of mobile robots (MRs) has expanded dramatically in the last several years across a wide range of industries, including manufacturing, surveillance, healthcare, and warehouse automation. To ensure the efficient and safe operation of…
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Keywords:
navigation;
environment;
using reinforcement;
robot ... See more keywords
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Published in 2019 at "Chaos"
DOI: 10.1063/1.5120370
Abstract: To find the path that minimizes the time to navigate between two given points in a fluid flow is known as Zermelo's problem. Here, we investigate it by using a Reinforcement Learning (RL) approach for…
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Keywords:
reinforcement learning;
navigation;
point;
zermelo problem ... See more keywords
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3008922
Abstract: In paper production, a jumbo reel is cut into multiple intermediate rolls, and each intermediate roll is then sheeted as finished goods. This problem is called a cutting stock problem and is proven to be…
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Keywords:
paper production;
loss;
reinforcement artificial;
trim loss ... See more keywords
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Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3248652
Abstract: Today’s Network Operation Centres (NOC) consist of teams of network professionals responsible for monitoring and taking actions for their network’s health. Most of these NOC actions are relatively complex and executed manually; only the simplest…
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Keywords:
network;
reinforcement learning;
network operation;
action ... See more keywords
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Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3267978
Abstract: This article addresses the development and tuning of an energy management for a photovoltaic (PV) battery storage system for the cost-optimized use of PV energy using reinforcement learning (RL). An innovative energy management concept based…
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Keywords:
energy;
energy management;
battery storage;
using reinforcement ... See more keywords
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Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3544482
Abstract: This article develops an intelligent motion control strategy using reinforcement learning to regulate a biomimetic autonomous underwater vehicle (BAUV) swimming performance. The BAUV is driven by the oscillatory motion of a lunate-shaped caudal fin. To…
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Keywords:
vehicle;
motion control;
using reinforcement;
motion ... See more keywords
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Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2022.3189834
Abstract: In this letter, we present an excavation controller for a full-sized hydraulic excavator that can adapt online to different soil characteristics. Soil properties are hard to predict and can vary even within one scoop, which…
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Keywords:
reinforcement learning;
excavation;
learning soil;
using reinforcement ... See more keywords
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Published in 2023 at "IEEE Communications Magazine"
DOI: 10.1109/mcom.001.2200474
Abstract: Radar operation partly overlaps and thus interferes with 5G spectrum bands. Examples are vehicular radar, long-range air traffic control, terminal air traffic control, marine radar, airport surveillance, or also operations in the mmWave band. We…
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Keywords:
reinforcement learning;
communication;
joint radar;
radar ... See more keywords
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Published in 2024 at "IEEE Transactions on Mobile Computing"
DOI: 10.1109/tmc.2024.3409050
Abstract: The wide adoption and use of unmanned aerial vehicles (UAVs) has created not only opportunities but also threats to the security of sensitive areas. Thus, effective and efficient counter-drone systems are required to protect these…
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Keywords:
using reinforcement;
rogue drones;
multi agent;
rogue ... See more keywords
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Published in 2025 at "eNeuro"
DOI: 10.1523/eneuro.0117-25.2025
Abstract: Distinct frontal regions make dissociable contributions to rule-guided decision-making, including the ability to learn and exploit associations between abstract rules and reward value, maintain those rules in memory, and evaluate choice outcomes. Value-based learning can…
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Keywords:
value;
using reinforcement;
rule;
lesion ... See more keywords