Search Results - ML: Reinforcement Learning Algorithms

Reinforcement learning algorithms for continuous-time VWAP targeting execution.

Authors: Zhou, Xingyu Chen, Wenbin Xu, Mingyu

Source: International Journal of Modeling, Simulation & Scientific Computing; Aug2025, Vol. 16 Issue 4, p1-37, 37p

Subject Terms: REINFORCEMENT learning, STOCHASTIC programming, MEAN square algorithms, CONTINUOUS time systems

Machine Learning in Wireless Networks: Algorithms, Strategies, and Applications.

Authors: Mitra, Shankar Prasad Khan, Shamim Ahmad Banerjee, Ranjan et al.

Source: International Journal of Environmental Sciences (2229-7359); 2025 Special Issue, Vol. 11, p2675-2679, 5p

Subject Terms: MACHINE learning, WIRELESS communications, 5G networks, DIGITAL technology, ALGORITHMS, MOBILE communication systems, INFORMATION technology, RESOURCE allocation

Software defined networking for autonomous and secure optical networks

Authors: Hernández Chulde, Carlos Efrén

Contributors: University/Department: Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions

Thesis Advisors: Casellas Regí, Ramon, Martínez Rivera, Ricardo Víctor, Comellas Colomé, Jaume

Source: TDX (Tesis Doctorals en Xarxa)

Subject Terms: Routing and Spectrum Assignment, Elastic Optical Networks, Deep Reinforcement Learning, Software Defined Networking, Network Functions Virtualization, Virtual Network Functions, VNF placement, Quantum Key Distribution, Continuous Variable Quantum Key Distribution, Àrees temàtiques de la UPC::Enginyeria de la telecomunicació, 621.3 - Enginyeria elèctrica. Electrotècnia. Telecomunicacions

File Description: application/pdf

Access URL: http://hdl.handle.net/10803/694378
https://dx.doi.org/10.5821/dissertation-2117-428870

Zero-touch service orchestration in 5G and beyond mobile networks

Authors: Dalgkitsis, Anestis

Contributors: University/Department: Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions

Thesis Advisors: Verikoukis, Christos, Ramantas, Konstantinos, Alonso Zárate, Luis Gonzaga

Source: TDX (Tesis Doctorals en Xarxa)

Subject Terms: Zero-touch Management & Orchestration (ZSM), Machine Learning (ML), Reinforcement Learning (RL), Network Function Virtualization (NFV), Network Slicing (NS), Software Defined Networking (SDN), Ultra-Reliable Low Latency Communications (URLLC), Gestió i orquestració de zero toc (ZSM), Aprenentatge automàtic (ML), Aprenentatge de reforç (RL), Virtualització de funcions de xarxa (NFV), Xarxa definida per programari (SDN), Baixa latència ultra fiable Comunicacions (URLLC), Gestión y orquestación sin contacto (ZSM), Aprendizaje automático (ML), Aprendizaje por Refuerzo (RL), Virtualización de funciones de red (NFV), Redes definidas por software (SDN), Baja latencia ultraconfiable Comunicaciones (URLLC), Àrees temàtiques de la UPC::Enginyeria de la telecomunicació

Time: 621.3

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Access URL: http://hdl.handle.net/10803/690299
https://dx.doi.org/10.5821/dissertation-2117-404663

A concise overview of different reinforcement learning algorithms for robotics exploration.

Alternate Title: Krótki przegląd różnych algorytmów uczenia się przez wzmacnianie w eksploracji robotyki. (Polish)

Authors: RAJ, Ravi KOS, Andrzej

Source: Przegląd Elektrotechniczny; 2025, Issue 9, p246-256, 11p

Subject Terms: REINFORCEMENT learning, ROBOTICS, OBSTACLE avoidance (Robotics), ALGORITHMS, AUTONOMOUS robots, ROBOTIC path planning, ARTIFICIAL neural networks, DEEP learning

Machine Learning-Based Resource Allocation Algorithm to Mitigate Interference in D2D-Enabled Cellular Networks.

Authors: Kamruzzaman, Md Sarkar, Nurul I. Gutierrez, Jairo

Source: Future Internet. Nov2024, Vol. 16 Issue 11, p408. 26p.

Subject Terms: *Machine learning, Reinforcement learning, Deep reinforcement learning, Resource allocation, Power transmission

Performance of deep reinforcement learning algorithms in two-echelon inventory control systems.

Authors: Stranieri, Francesco Stella, Fabio Kouki, Chaaben

Source: International Journal of Production Research; Sep2024, Vol. 62 Issue 17, p6211-6226, 16p

Subject Terms: DEEP reinforcement learning, REINFORCEMENT learning, MACHINE learning, INVENTORY control, OPTIMIZATION algorithms, INFORMATION literacy, PRODUCTION planning, SEQUENTIAL learning

Simulated Autonomous Driving Using Reinforcement Learning: A Comparative Study on Unity's ML-Agents Framework.

Authors: Savid, Yusef Mahmoudi, Reza Maskeliūnas, Rytis et al.

Source: Information. May2023, Vol. 14 Issue 5, p290. 22p.

Subject Terms: *Intelligent agents, *Artificial intelligence, Reinforcement learning, Autonomous vehicles, Optimization algorithms, Horse racetracks

On the Sample Complexity of Representation Learning in Multi-Task Bandits with Global and Local Structure

Authors: Russo, Alessio Proutiere, Alexandre

Source: Proceedings of the AAAI Conference on Artificial Intelligence. :9658-9667

Subject Terms: ML: Representation Learning, ML: Online Learning & Bandits, ML: Reinforcement Learning Algorithms, ML: Reinforcement Learning Theory, Mathematical Statistics, Matematisk statistik, Electrical Engineering, Elektro- och systemteknik, Datalogi, Computer Science

File Description: print

Access URL: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-333761
https://doi.org/10.1609/aaai.v37i8.26155

Reinforcement learning algorithms for continuous-time VWAP targeting execution

Authors: Xingyu Zhou Wenbin Chen Mingyu Xu

Source: International Journal of Modeling, Simulation, and Scientific Computing. 16

Responsive spectrum management for wireless local area networks: from heuristic-based policies to model-free reinforcement learning

Authors: Barrachina Muñoz, Sergio

Contributors: University/Department: Universitat Pompeu Fabra. Departament de Tecnologies de la Informació i les Comunicacions

Thesis Advisors: Bellalta, Boris

Source: TDX (Tesis Doctorals en Xarxa)

Subject Terms: Wi-Fi, WLAN, Spectrum management, Channel bonding, Channel allocation, Spatial distribution, Reinforcement learning, CTMN, WACA, Gestió de l’espectre, Assignació de canals, Distribució espacial, Aprenentatge automàtic per reforç

File Description: application/pdf

Access URL: http://hdl.handle.net/10803/670782

Enabling knowledge-defined networks : deep reinforcement learning, graph neural networks and network analytics

Authors: Suárez-Varela Macià, José Rafael

Contributors: University/Department: Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors

Thesis Advisors: Barlet Ros, Pere, Cabellos Aparicio, Alberto

Source: TDX (Tesis Doctorals en Xarxa)

Subject Terms: Àrees temàtiques de la UPC::Informàtica

File Description: application/pdf

Access URL: http://hdl.handle.net/10803/669212
https://dx.doi.org/10.5821/dissertation-2117-192449

Essential Tools and Strategies for the Participation of Battery Energy Storage Systems in Ancillary Services

Authors: Cardo Miota, Javier

Contributors: University/Department: Universitat Jaume I. Escola de Doctorat

Thesis Advisors: Beltran, Hector, Pérez, Emilio, Belenguer, Enrique

Source: TDX (Tesis Doctorals en Xarxa)

Subject Terms: European electricity markets, Ancillary services, Battery energy storage systems, Machine learning, Deep learning, Reinforcement learning, Enginyeria, industria i construcció

File Description: application/pdf

Access URL: http://hdl.handle.net/10803/692564

Automated reinforcement learning for sequential ordering problem using hyperparameter optimization and metalearning.

Authors: Ottoni, André Luiz Carvalho

Source: Autonomous Intelligent Systems; 7/29/2025, Vol. 5 Issue 1, p1-14, 14p

Subject Terms: REINFORCEMENT learning, COMBINATORIAL optimization, MATHEMATICAL optimization, OPTIMIZATION algorithms, TRANSFER of training, TRAVELING salesman problem

АНАЛІЗ ЕФЕКТИВНОСТІ АЛГОРИТМІВ REINFORCEMENT LEARNING ДЛЯ ПІДВИЩЕННЯ АВТОНОМНОСТІ МОБІЛЬНИХ РОБОТІВ (Ukrainian)

Alternate Title: ANALYSIS OF THE EFFECTIVENESS OF REINFORCEMENT LEARNING ALGORITHMS FOR INCREASING THE MOBILE ROBOTS AUTONOMY. (English)

Authors: Петренко, Д. В. Протасов, А. Г.

Source: Technical Diagnostics & Nondestructive Testing / Tekhnicheskaya Diagnostika I Nerazrushayushchiy Kontrol; 2025, Issue 3, p24-31, 8p

Subject Terms: MACHINE learning, INTELLIGENT control systems, ROBOT control systems, REINFORCEMENT learning, MOBILE robot control systems, RESISTANCE training, MOBILE robots, HUMAN activity recognition

Application of Artificial Intelligence Technologies in Livestock Management.

Alternate Title: Hayvancılıkta Yapay Zekâ Teknolojilerinin Uygulanması.

Authors: DİLAVER, Hatice DİLAVER, Kamil Fatih

Source: Journal of Animal Science & Economics. Jul2025, Vol. 4 Issue 2, p64-74. 11p.

Subjects: Natural language processing, Artificial neural networks, Supervised learning, Artificial intelligence, Agriculture

Analysis of Deep Reinforcement Learning Algorithms for Task Offloading and Resource Allocation in Fog Computing Environments.

Authors: Ali, Endris Mohammed Abawajy, Jemal Lemma, Frezewd et al.

Source: Sensors (14248220); Sep2025, Vol. 25 Issue 17, p5286, 49p

Subject Terms: RESOURCE allocation, QUALITY of service, MATHEMATICAL optimization, INTERNET of things, LOAD balancing (Computer networks), DISTRIBUTED computing, INQUIRY (Theory of knowledge), REINFORCEMENT learning

Analysis on quantum reinforcement learning algorithms for prediction of protein sequence.

Authors: Kalpana, R. Sathishkumar, P. J. Shenbagavalli, B. et al.

Source: Optical & Quantum Electronics. Apr2024, Vol. 56 Issue 4, p1-11. 11p.

Subject Terms: *MACHINE learning, *REINFORCEMENT learning, *AMINO acid sequence, *PROTEIN structure prediction, *DEEP learning, *PROTEIN structure

Comparative Analysis of Reinforcement Learning Algorithm based on Tennis Environment

Authors: Yu Bai Haoyu Dong Qiwei Lian

Source: Highlights in Science, Engineering and Technology. 39:1146-1152

Subject Terms: 0209 industrial biotechnology, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

FoX: Formation-Aware Exploration in Multi-Agent Reinforcement Learning

Authors: Jo, Yonghyeon Lee, Sunwoo Yeom, Junghyuk et al.

Source: Proceedings of the AAAI Conference on Artificial Intelligence. 38:12985-12994

Subject Terms: FOS: Computer and information sciences, Computer Science - Machine Learning, Machine Learning (ML) - ML: Reinforcement Learning, Secondary Subject Areas: Multiagent Systems (MAS) - MAS: Multiagent Learning, Machine Learning (cs.LG)

Access URL: http://arxiv.org/abs/2308.11272