Control of Prioritized and Separated Periodic/Aperiodic Task
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3263947
Abstract: Robots are typically expected to perform multiple tasks. For realizing multiple tasks using multi-degrees-of-freedom of a robot, priority control was developed. The priority control prioritizes conflicting tasks by projecting lower-priority task velocity into a null… read more here.
Keywords: multiple tasks; periodic aperiodic; control; task ... See more keywords
Multi-Tasking Memcapacitive Networks
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Journal on Emerging and Selected Topics in Circuits and Systems"
DOI: 10.1109/jetcas.2023.3235242
Abstract: Recent studies have shown that networks of memcapacitive devices provide an ideal computing platform of low power consumption for reservoir computing systems. Random, crossbar, or small-world power-law (SWPL) structures are common topologies for reservoir substrates… read more here.
Keywords: multiple tasks; tasking memcapacitive; cluster networks; multi tasking ... See more keywords
Temporal Logic Guided Meta Q-Learning of Multiple Tasks
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2022.3185384
Abstract: Reinforcement learning (RL) based approaches have enabled robots to perform various tasks. However, most existing RL algorithms focus on learning a particular task, without considering generalization to new tasks. To address this issue, by combining… read more here.
Keywords: multiple tasks; meta learning; learning multiple; logic guided ... See more keywords
A Reinforcement Learning Architecture That Transfers Knowledge Between Skills When Solving Multiple Tasks
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Cognitive and Developmental Systems"
DOI: 10.1109/tcds.2016.2607018
Abstract: When humans learn several skills to solve multiple tasks, they exhibit an extraordinary capacity to transfer knowledge between them. We present here the last enhanced version of a bio-inspired reinforcement-learning (RL) modular architecture able to… read more here.
Keywords: transfers knowledge; knowledge skills; reinforcement learning; architecture transfers ... See more keywords
Accommodating Multiple Tasks’ Disparities With Distributed Knowledge-Sharing Mechanism
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Cybernetics"
DOI: 10.1109/tcyb.2020.3002911
Abstract: Deep multitask learning (MTL) shares beneficial knowledge across participating tasks, alleviating the impacts of extreme learning conditions on their performances such as the data scarcity problem. In practice, participators stemming from different domain sources often… read more here.
Keywords: accommodating multiple; tasks disparities; knowledge sharing; knowledge ... See more keywords
Semisupervised Feature Analysis by Mining Correlations Among Multiple Tasks
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2016.2582746
Abstract: In this paper, we propose a novel semisupervised feature selection framework by mining correlations among multiple tasks and apply it to different multimedia applications. Instead of independently computing the importance of features for each task,… read more here.
Keywords: feature; semisupervised feature; correlations among; mining correlations ... See more keywords
Neural-Network-Based Iterative Learning Control for Multiple Tasks
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2020.3017158
Abstract: Iterative learning control (ILC) can synthesize the feedforward control signal for the trajectory tracking control of a repetitive task, even when the system has strong nonlinear dynamics. This makes ILC be one of the most… read more here.
Keywords: neural network; control; ilc; function ... See more keywords