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   Articles with "learning optimal" as a keyword



Reinforcement learning of optimal active particle navigation

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recommendations! Published in 2022 at "New Journal of Physics"

DOI: 10.1088/1367-2630/ac8013

Abstract: The development of self-propelled particles at the micro- and the nanoscale has sparked a huge potential for future applications in active matter physics, microsurgery, and targeted drug delivery. However, while the latter applications provoke the… read more here.

Keywords: reinforcement learning; physics; learning optimal; particle navigation ... See more keywords

Learning Optimal Dynamic Treatment Regimes from Longitudinal Data.

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recommendations! Published in 2024 at "American journal of epidemiology"

DOI: 10.1093/aje/kwae122

Abstract: Studies often report estimates of the average treatment effect (ATE). While the ATE summarizes the effect of a treatment on average, it does not provide any information about the effect of treatment within any individual.… read more here.

Keywords: optimal dynamic; treatment; effect; treatment regimes ... See more keywords

Matching single cells across modalities with contrastive learning and optimal transport

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recommendations! Published in 2023 at "Briefings in Bioinformatics"

DOI: 10.1093/bib/bbad130

Abstract: Abstract Understanding the interactions between the biomolecules that govern cellular behaviors remains an emergent question in biology. Recent advances in single-cell technologies have enabled the simultaneous quantification of multiple biomolecules in the same cell, opening… read more here.

Keywords: optimal transport; learning optimal; cells across; single cell ... See more keywords

Meta Reinforcement Learning for Optimal Design of Legged Robots

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recommendations! Published in 2022 at "IEEE Robotics and Automation Letters"

DOI: 10.1109/lra.2022.3211785

Abstract: The process of robot design is a complex task and the majority of design decisions are still based on human intuition or tedious manual tuning. A more informed way of facing this task is computational… read more here.

Keywords: reinforcement learning; learning optimal; meta reinforcement; design ... See more keywords
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Learning Optimal Controllers for Linear Systems With Multiplicative Noise via Policy Gradient

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recommendations! Published in 2021 at "IEEE Transactions on Automatic Control"

DOI: 10.1109/tac.2020.3037046

Abstract: The linear quadratic regulator (LQR) problem has reemerged as an important theoretical benchmark for reinforcement learning-based control of complex dynamical systems with continuous state and action spaces. In contrast with nearly all recent work in… read more here.

Keywords: optimal controllers; policy; learning optimal; multiplicative noise ... See more keywords

Reinforcement Learning and Optimal Control of PMSM Speed Servo System

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recommendations! Published in 2023 at "IEEE Transactions on Industrial Electronics"

DOI: 10.1109/tie.2022.3220886

Abstract: This article proposes a novel model-free optimal speed tracking control scheme for permanent magnet synchronous motors (PMSMs) through reinforcement learning (RL). To achieve the speed servo control, we formulate the linear quadratic regulator associated with… read more here.

Keywords: speed servo; speed; reinforcement learning; learning optimal ... See more keywords

Learning Optimal Wavefront Shaping for Multi-Channel Imaging

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recommendations! Published in 2021 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"

DOI: 10.1109/tpami.2021.3076873

Abstract: Fast acquisition of depth information is crucial for accurate 3D tracking of moving objects. Snapshot depth sensing can be achieved by wavefront coding, in which the point-spread function (PSF) is engineered to vary distinctively with… read more here.

Keywords: microscopy; wavefront shaping; optimal wavefront; multi channel ... See more keywords

Learning Optimal Resource Allocations in Wireless Systems

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recommendations! Published in 2019 at "IEEE Transactions on Signal Processing"

DOI: 10.1109/tsp.2019.2908906

Abstract: This paper considers the design of optimal resource allocation policies in wireless communication systems, which are generically modeled as a functional optimization problem with stochastic constraints. These optimization problems have the structure of a learning… read more here.

Keywords: resource; resource allocation; resource allocations; allocations wireless ... See more keywords