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2020 Index IEEE Transactions on Systems, Man, and Cybernetics: Systems Vol. 50

2020 IEEE Transactions on Systems, Man & Cybernetics. Systems  
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)  
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  
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  
., 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  
, 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]

Zubin Bharucha, Emilio Calvanese, Jiming Chen, Xiaoli Chu, Afef Feki, Antonio De Domenico, Ana Galindo-Serrano, Weisi Guo, Raymond Kwan, Jimin Liu, David López-Pérez, Massod Maqbool, Ying Peng, Samir Perlaza (+4 others)
2012 arXiv   pre-print
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  
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

Nadine Abbas, Youssef Nasser, Karim El Ahmad
2015 EURASIP Journal on Wireless Communications and Networking  
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)  
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  
., +, 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]

Jorge Peña Queralta, Jussi Taipalmaa, Bilge Can Pullinen, Victor Kathan Sarker, Tuan Nguyen Gia, Hannu Tenhunen, Moncef Gabbouj, Jenni Raitoharju, Tomi Westerlund
2020 arXiv   pre-print
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]

Nhu-Ngoc Dao, Quoc-Viet Pham, Ngo Hoang Tu, Tran Thien Thanh, Vo Nguyen Quoc Bao, Demeke Shumeye Lakew, Sungrae Cho
2021 arXiv   pre-print
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

Raul Fernandez-Rojas, Anthony Perry, Hemant Singh, Benjamin Campbell, Saber Elsayed, Robert Hunjet, Hussein Abbass
2019 IEEE Access  
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  
., +, 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

Giovanni Giambene, Boon Sain Yeo
2009 2009 International Workshop on Satellite and Space Communications  
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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