Reinforcement learning of optimal active particle navigation
Sign Up to like & getrecommendations! 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
Matching single cells across modalities with contrastive learning and optimal transport
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Learning Optimal Controllers for Linear Systems With Multiplicative Noise via Policy Gradient
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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