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   Articles with "hierarchical reinforcement" as a keyword



Hierarchical Reinforcement Learning from Demonstration via Reachability-Based Reward Shaping

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recommendations! Published in 2024 at "Neural Processing Letters"

DOI: 10.1007/s11063-024-11632-x

Abstract: Hierarchical reinforcement learning (HRL) has achieved remarkable success and significant progress in complex and long-term decision-making problems. However, HRL training typically entails substantial computational costs and an enormous number of samples. One effective approach to… read more here.

Keywords: reachability based; hierarchical reinforcement; hrlfd; based reward ... See more keywords

Chemotactic navigation in robotic swimmers via reset-free hierarchical reinforcement learning

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recommendations! Published in 2025 at "Nature Communications"

DOI: 10.1038/s41467-025-60646-z

Abstract: Microorganisms have evolved diverse strategies to propel themselves in viscous fluids, navigate complex environments, and exhibit taxis in response to stimuli. This has inspired the development of miniature robots, where artificial intelligence (AI) is playing… read more here.

Keywords: navigation; chemotactic navigation; hierarchical reinforcement; topology ... See more keywords

Hierarchical reinforcement learning with central pattern generator for enabling a quadruped robot simulator to walk on a variety of terrains

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recommendations! Published in 2025 at "Scientific Reports"

DOI: 10.1038/s41598-025-94163-2

Abstract: We present a data-driven deep reinforcement learning (DRL) method for the optimization of a hierarchically structured control policy that includes the central pattern generator. This method, which is as a whole referred to as the… read more here.

Keywords: central pattern; hierarchical reinforcement; pattern generator; reinforcement learning ... See more keywords

Flexible material handling system for multi-load autonomous mobile robots in manufacturing environments: a hierarchical reinforcement learning approach

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recommendations! Published in 2025 at "International Journal of Production Research"

DOI: 10.1080/00207543.2025.2461131

Abstract: The increasing complexity of customer demands has led to the implementation of flexible job-shop scheduling and automated material handling systems across manufacturing sectors. In particular, advances in robotic technology have made autonomous mobile robots (AMRs)… read more here.

Keywords: material handling; reinforcement learning; material; hierarchical reinforcement ... See more keywords

Aperiodic speed tracking control of unmanned sightseeing vehicles based on hierarchical reinforcement learning

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recommendations! Published in 2024 at "International Journal of Systems Science"

DOI: 10.1080/00207721.2024.2447359

Abstract: This paper proposes an aperiodic control approach based on hierarchical reinforcement learning for the longitudinal speed tracking control of unmanned sightseeing vehicles in scenic areas. The method develops the MAXQ hierarchical framework to decompose the… read more here.

Keywords: speed tracking; hierarchical reinforcement; control; based hierarchical ... See more keywords

Hierarchical reinforcement learning of multiple grasping strategies with human instructions

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recommendations! Published in 2018 at "Advanced Robotics"

DOI: 10.1080/01691864.2018.1509018

Abstract: ABSTRACT Grasping is an essential component for robotic manipulation and has been investigated for decades. Prior work on grasping often assumes that a sufficient amount of training data is available for learning and planning robotic… read more here.

Keywords: grasp; reinforcement learning; multiple grasping; hierarchical reinforcement ... See more keywords

Hierarchical Reinforcement Learning for Navigation Among Movable and Immovable Obstacles

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recommendations! Published in 2025 at "IEEE Access"

DOI: 10.1109/access.2025.3598230

Abstract: Path planning is a key technique for vehicle navigation, and significant research has focused on how to manage obstacles. Previous methods have addressed either removing movable obstacles or avoiding immovable ones. However, real-world environments contain… read more here.

Keywords: navigation; navigation among; hierarchical reinforcement; among movable ... See more keywords

Hierarchical Reinforcement Learning for Volt/Var and Wireless Communication Co-Scheduling in Active Distribution Network

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recommendations! Published in 2025 at "IEEE Internet of Things Journal"

DOI: 10.1109/jiot.2025.3601580

Abstract: In active distribution networks (ADNs), the rapid changes in photovoltaic (PV) generation can easily lead to short-term voltage stability issues. However, achieving real-time voltage control under limited communication resources is a major challenge. This article… read more here.

Keywords: reinforcement; hierarchical reinforcement; volt var; active distribution ... See more keywords
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Planning-Augmented Hierarchical Reinforcement Learning

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recommendations! Published in 2021 at "IEEE Robotics and Automation Letters"

DOI: 10.1109/lra.2021.3071062

Abstract: Planning algorithms are powerful at solving long-horizon decision-making problems but require that environment dynamics are known. Model-free reinforcement learning has recently been merged with graph-based planning to increase the robustness of trained policies in state-space… read more here.

Keywords: augmented hierarchical; reinforcement learning; reinforcement; hierarchical reinforcement ... See more keywords

HRL-TSCH: A Hierarchical Reinforcement Learning-Based TSCH Scheduler for IIoT

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recommendations! Published in 2024 at "IEEE Transactions on Cognitive Communications and Networking"

DOI: 10.1109/tccn.2024.3408459

Abstract: The Industrial Internet of Things (IIoT) demands adaptable Networked Embedded Systems (NES) for optimal performance. Combined with recent advances in Artificial Intelligence (AI), tailored solutions can be developed to meet specific application requirements. This study… read more here.

Keywords: hrl tsch; hierarchical reinforcement; reinforcement learning; tsch ... See more keywords

Price-Matching-Based Regional Energy Market With Hierarchical Reinforcement Learning Algorithm

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recommendations! Published in 2024 at "IEEE Transactions on Industrial Informatics"

DOI: 10.1109/tii.2024.3390595

Abstract: This article proposes a multienergy trading market model based on price matching, aiming to foster multienergy collaboration and enhance energy utilization through individual participation. With the ongoing advancements in energy distribution and marketization, the energy… read more here.

Keywords: trading; energy; hierarchical reinforcement; market ... See more keywords