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2020 Index IEEE Transactions on Systems, Man, and Cybernetics: Systems Vol. 50
2020
IEEE Transactions on Systems, Man & Cybernetics. Systems
Preserved Fulltext
The Author Index contains the primary entry for each item, listed under the first author's name. ...
Jahandari, S., +, TSMC May 2020 1865-1876 Reinforcement learning Editorial Special Issue on Adaptive Dynamic Programming and Reinforcement Learning. ...
., +, TSMC Sept. 2020 3401-3411 Reinforcement Q-Learning Algorithm for H ∞ Tracking Control of Unknown Discrete-Time Linear Systems. ...
doi:10.1109/tsmc.2021.3054492
fatcat:zartzom6xvdpbbnkcw7xnsbeqy
2020 Index IEEE Transactions on Intelligent Transportation Systems Vol. 21
2020
IEEE transactions on intelligent transportation systems (Print)
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for Vehicles With Step-Gear Transmis-
sion Based on Reinforcement Learning. ...
., +, TITS June 2020 2510-2521
Distributed Multiagent Coordinated Learning for Autonomous Driving in
Highways Based on Dynamic Coordination Graphs. ...
doi:10.1109/tits.2020.3048827
fatcat:ab6he3jkfjboxg7wa6pagbggs4
Table of Contents
2020
IEEE Transactions on Industrial Informatics
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Li 7682 Deep Reinforcement Learning Based Online Network Selection in CRNs With Multiple Primary Networks . . . . ...
Vitturi 7732 Short-Term Forecasting of Heat Demand of Buildings for Efficient and Optimal Energy Management Based on Integrated Machine Learning Models. . . . . . . . . . . . . . . . . . . . . . . . . ...
doi:10.1109/tii.2020.3022301
fatcat:7n2bzwx72bcencda27ey54zj6m
2020 Index IEEE Internet of Things Journal Vol. 7
2020
IEEE Internet of Things Journal
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., Rateless-Code-Based Secure Cooperative Transmission Scheme for Industrial IoT; JIoT July 2020 6550-6565 Jamalipour, A., see Murali, S., JIoT Jan. 2020 379-388 James, L.A., see Wanasinghe, T.R., ...
., +, JIoT Sept. 2020 8059-8076 Routing Protocol Design for Underwater Optical Wireless Sensor Networks: A Multiagent Reinforcement Learning Approach. ...
., +, JIoT Aug. 2020 7443-7456
Multiagent DDPG-Based Deep Learning for Smart Ocean Federated Learn-
ing IoT Networks. ...
doi:10.1109/jiot.2020.3046055
fatcat:wpyblbhkrbcyxpnajhiz5pj74a
2020 Index IEEE Transactions on Industrial Informatics Vol. 16
2020
IEEE Transactions on Industrial Informatics
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, L., see Cai, H., TII Jan. 2020 587-594 Jiang, L., see Xia, Z., TII Jan. 2020 629-638 Jiang, Q., Yan, S., Yan, X., Yi, H., and Gao, F., Data-Driven Two-Dimensional Deep Correlated Representation Learning ...
Forests-Based Model for Ultra-Short-Term Prediction of PV Characteristics; TII Jan. 2020 202-214 Imran, A., see Hussain, B., TII Aug. 2020 4986-4996 Imran, M., see Fu, S., TII Sept. 2020 6013-6022 ...
., +, TII May 2020 3345-3354 Cooperative Management for PV/ESS-Enabled Electric Vehicle Charging Stations: A Multiagent Deep Reinforcement Learning Approach. ...
doi:10.1109/tii.2021.3053362
fatcat:blfvdtsc3fdstnk6qoaazskd3i
Small Cell Deployments: Recent Advances and Research Challenges
[article]
2012
arXiv
pre-print
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Furthermore, some recent efforts on issues such as energy-saving as well as Machine Learning (ML) techniques on resource allocation and multi-cell cooperation are described. ...
This paper provides some cutting edge information on the developments of Self-Organizing Networks (SON) for small cell deployments, as well as related standardization supports on issues such as carrier ...
We also thank the EU FP7 IAPP@RANPLAN project for the financial support of the workshop. ...
arXiv:1211.0575v1
fatcat:rdclcpvupzdd7ikzrqswbhwnnm
2021 Index IEEE Internet of Things Journal Vol. 8
2021
IEEE Internet of Things Journal
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The Author Index contains the primary entry for each item, listed under the first author's name. ...
Jiang, Y., +, JIoT July 1, 2021 10356-10366 Voting-Based Multiagent Reinforcement Learning for Intelligent IoT. ...
., +, JIoT Aug. 15, 2021 12490-12504 Deep Multiagent Reinforcement-Learning-Based Resource Allocation for Internet of Controllable Things. ...
doi:10.1109/jiot.2022.3141840
fatcat:42a2qzt4jnbwxihxp6rzosha3y
Recent advances on artificial intelligence and learning techniques in cognitive radio networks
2015
EURASIP Journal on Wireless Communications and Networking
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A cognitive radio node senses the environment, analyzes the outdoor parameters, and then makes decisions for dynamic time-frequency-space resource allocation and management to improve the utilization of ...
The literature survey is organized based on different artificial intelligence techniques such as fuzzy logic, genetic algorithms, neural networks, game theory, reinforcement learning, support vector machine ...
The authors in [61] used CBR for proper link management, network traffic balance, and system efficiency. ...
doi:10.1186/s13638-015-0381-7
fatcat:dq6aba75obc5vlxnbaqrerlsii
Table of Contents
2020
2020 IEEE Symposium Series on Computational Intelligence (SSCI)
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Adaptive Repetition Management in Parameter Tuning Dmytro Pukhkaiev, Yevhenii Semendiak and Uwe Assmann .......... 1363 Deep hierarchical reinforcement learning in a markov game applied to fishery management ...
Reinforcement Learning
Eduardo C. ...
doi:10.1109/ssci47803.2020.9308155
fatcat:hyargfnk4vevpnooatlovxm4li
2019 Index IEEE Systems Journal Vol. 13
2019
IEEE Systems Journal
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., +, JSYST Sept. 2019 3568-3579 Robust Hybrid Visual Servoing Using Reinforcement Learning and Finite-Time Adaptive FOSMC. ...
., +, JSYST Sept. 2019
3283-3294
Robust Hybrid Visual Servoing Using Reinforcement Learning and Finite-
Time Adaptive FOSMC. ...
doi:10.1109/jsyst.2020.2965224
fatcat:x7hx4luelzforfuzigmwmfyhgm
Collaborative Multi-Robot Systems for Search and Rescue: Coordination and Perception
[article]
2020
arXiv
pre-print
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Furthermore, we put these algorithms in the context of the different challenges and constraints that various types of robots (ground, aerial, surface or underwater) encounter in different SAR environments (maritime ...
A critical question for the training of reinforcement learning methods is the selection of the reward function. ...
Currently, the most active research direction in active perception is reinforcement learning [221] . ...
arXiv:2008.12610v1
fatcat:hq5lqtnsoreapjm4dpgg4z5xki
Survey on Aerial Radio Access Networks: Toward a Comprehensive 6G Access Infrastructure
[article]
2021
arXiv
pre-print
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Furthermore, we introduce technologies that enable the success of ARAN implementations in terms of energy replenishment, operational management, and data delivery. ...
Then, we describe ARAN architecture and its fundamental features for the development of 6G networks. ...
For instance, echo state networks and multiagent Q-learning were adopted to calculate effective UAVs' trajectories and predict ground users' locations [123] , and a deep reinforcement learning approach ...
arXiv:2102.07087v2
fatcat:wbur5jckk5b43lo75dmzlxiiy4
Contextual Awareness in Human-Advanced-Vehicle Systems: A Survey
2019
IEEE Access
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INDEX TERMS Contextual awareness, activity recognition, ad-hoc networks, advanced vehicle systems, cognitive radios, cyber security, human-computer interaction, knowledge management, machine learning, ...
His research interests include machine learning, human-robot teaming, and modeling cognitive states using neuroimaging methods such as fNIRS and EEG. ...
[83] used a run-time policy-driven reinforcement learning mechanism decision making in context management. ...
doi:10.1109/access.2019.2902812
fatcat:ieqvknlscjgfthy3snql53ohzi
2019 Index IEEE Robotics and Automation Letters Vol. 4
2019
IEEE Robotics and Automation Letters
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., +,
LRA July 2019 2730-2737
Lifelong Federated Reinforcement Learning: A Learning Architecture for
Navigation in Cloud Robotic Systems. ...
Comparing Task Simplifications to Learn Closed-Loop Object Picking Using Deep Reinforcement Learning. ...
Permanent magnets Adaptive Dynamic Control for Magnetically Actuated Medical Robots. ...
doi:10.1109/lra.2019.2955867
fatcat:ckastwefh5chhamsravandtnx4
Welcome message from the General Chairs
2009
2009 International Workshop on Satellite and Space Communications
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All accepted papers will be included in the Proceeding of Adaptation, Learning and Optimization Series published by Springer-Verlag. ...
Based on these rigorous reviews, IES 2014 accepted 106 papers for inclusion in the conference program, which represents an acceptance rate of 69%. ...
SS14 -Multiagent System for Industrial Applications
SS15 -Subspace Learning and Neural Networks
Organizers: Dr. Jian Cheng Lv, Sichuan University, China Dr. ...
doi:10.1109/iwssc.2009.5286448
fatcat:wcu4uzasizhzjmdkzyekynnqwi
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