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Research article

First published 2024-2

Application of integrating reinforcement learning and intelligent scheduling in logistics distribution

Zhenhua He, Liang Chen, Bin Liu

Intelligent Decision Technologies

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Research article

First published 2025

Distributed security resource allocation strategy based on deep reinforcement learning

Tianqing Liu

Journal of Computational Methods in Sciences and Engineering

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Research article

First published 2024-10

Navigating autonomous vehicles in uncertain environments with distributional reinforcement learning

Shuyuan Xu, Jiachen Hao, Xuemei Chen [...]

Proceedings of the Institution of Mechanical Engineers,Part D: Journal of Automobile Engineering

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Research article

First published 2011-7

A Multi-agent-based voltage control in power systems using distributed reinforcement learning

M.Reza Tousi, S. Hossein Hosseinian, M. Bagher Menhaj

SIMULATION

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Research article

First published 2025

Distributed iterative reinforcement learning predictive control of truck platoons

Shuyou Yu, Zepeng Liu, Yunyong Li [...]

Proceedings of the Institution of Mechanical Engineers,Part D: Journal of Automobile Engineering

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Research article

First published 2020-6

Distributed multi-robot collision avoidance via deep reinforcement learning for navigation in complex scenarios

Tingxiang Fan, Pinxin Long, Wenxi Liu [...]

The International Journal of Robotics Research

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Research article

First published 2020-11

Off-policy integral reinforcement learning algorithm in dealing with nonzero sum game for nonlinear distributed parameter systems

He Ren, Jing Dai, Huaguang Zhang [...]

Transactions of the Institute of Measurement and Control

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Research article

First published 2019-11-22

A multi-agent reinforcement learning algorithm with fuzzy approximation for Distributed Stochastic Unit Commitment

Ghorbani Farzaneh, Afsharchi Mohsen, Derhami Vali

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology

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Research article

First published 2023-6

Distributed containment formation control for multiple unmanned aerial vehicles with parameter optimization based on deep reinforcement learning

Bojian Liu, Aijun Li, Yong Guo

Proceedings of the Institution of Mechanical Engineers,Part G: Journal of Aerospace Engineering

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Research article

First published 1992-06

A Model of Primate Visual-Motor Conditional Learning

Andrew H. Fagg, Michael A. Arbib

Adaptive Behavior

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