Articles with "using reinforcement" as a keyword



Exploring High Thermal Conductivity Amorphous Polymers Using Reinforcement Learning.

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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… read more here.

Keywords: amorphous polymers; reinforcement learning; polymers using; conductivity ... See more keywords

Intelligent mobile robot navigation in unknown and complex environment using reinforcement learning technique

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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… read more here.

Keywords: navigation; environment; using reinforcement; robot ... See more keywords
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Zermelo's problem: Optimal point-to-point navigation in 2D turbulent flows using Reinforcement Learning

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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… read more here.

Keywords: reinforcement learning; navigation; point; zermelo problem ... See more keywords

Trim Loss Optimization in Paper Production Using Reinforcement Artificial Bee Colony

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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… read more here.

Keywords: paper production; loss; reinforcement artificial; trim loss ... See more keywords

Toward a Superintelligent Action Recommender for Network Operation Centers Using Reinforcement Learning

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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… read more here.

Keywords: network; reinforcement learning; network operation; action ... See more keywords

Minimizing Energy Cost in PV Battery Storage Systems Using Reinforcement Learning

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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… read more here.

Keywords: energy; energy management; battery storage; using reinforcement ... See more keywords

Intelligent Motion Control to Enhance the Swimming Performance of a Biomimetic Underwater Vehicle Using Reinforcement Learning Approach

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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… read more here.

Keywords: vehicle; motion control; using reinforcement; motion ... See more keywords

Soil-Adaptive Excavation Using Reinforcement Learning

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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… read more here.

Keywords: reinforcement learning; excavation; learning soil; using reinforcement ... See more keywords

A Joint Radar and Communication Approach for 5G NR using Reinforcement Learning

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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… read more here.

Keywords: reinforcement learning; communication; joint radar; radar ... See more keywords

Cooperative Multi-Agent Jamming of Multiple Rogue Drones Using Reinforcement Learning

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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… read more here.

Keywords: using reinforcement; rogue drones; multi agent; rogue ... See more keywords

Dissociating Frontal Lobe Lesion Induced Deficits in Rule Value Learning Using Reinforcement Learning Models and a WCST Analog

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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… read more here.

Keywords: value; using reinforcement; rule; lesion ... See more keywords