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161

Reinforcement Learning for Industrial Control: From Toolkit Development to Practical Applications
Duan, Jingliang ; Wang, Wenxuan ; Lyu, Yao ; et al.
In Reference Module in Materials Science and Materials Engineering 2015

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162

基于深度强化学习的机械臂动态 避障算法设计与实验验证. (Chinese)
冒建亮 ; 王 展 ; 周 昕 ; et al.
Experimental Technology & Management; Apr2025, Vol. 42 Issue 4, p78-85, 8p

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163

How social norms emerge: The interindividual actor–critic.
Babitz, Danielle ; Eldar, Eran
Psychol Rev

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164

DEVELOPMENT OF A ROUTING METHOD FOR GROUND-AIR AD-HOC NETWORK OF SPECIAL PURPOSE.
Bieliakov, Robert
Technology Audit & Production Reserves; 2024, Vol. 2 Issue 2(76), p44-51, 8p

BIT error rate TELECOMMUNICATION system... REINFORCEMENT learning MACHINE learning COMPUTATIONAL complexity ROUTING algorithms …
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165

Deep reinforcement learning for quadrotor path following with adaptive velocity
Rubí, Bartomeu ; Morcego, Bernardo ; Pérez, Ramon
Autonomous Robots. :1-16

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166

Dual-Layer Path Planning Model for Autonomous Vehicles in Urban Road Networks Using an Improved Deep Q-Network Algorithm with Proportional–Integral–Derivative Control.
Xu, Guoji ; Chen, Lingling ; Zhao, Xiaohui ; et al.
Electronics (2079-9292); Jan2025, Vol. 14 Issue 1, p116, 19p

DEEP reinforcement learn... REINFORCEMENT learning HIGHWAY planning COMPUTATIONAL complexity URBAN planning INTELLIGENT transportati...
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167

Indoor navigation for mobile robots based on deep reinforcement learning with convolutional neural network.
Khoa Nguyen Dang ; Van Tran Thi ; Nguyen Van Thang
International Journal of Electrical & Computer Engineering (2088-8708); Jun2025, Vol. 15 Issue 3, p2748-2757, 10p

REINFORCEMENT learning CONVOLUTIONAL neural net... DEEP reinforcement learn... MOBILE robots ROBOTS
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168

Quadrotor Path Following and Reactive Obstacle Avoidance with Deep Reinforcement Learning
Rubí, Bartomeu ; Morcego, Bernardo ; Pérez, Ramon
Journal of Intelligent & Robotic Systems: with a special section on Unmanned Systems. 103(4)

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169

Experimental Research on Avoidance Obstacle Control for Mobile Robots Using Q-Learning (QL) and Deep Q-Learning (DQL) Algorithms in Dynamic Environments.
Ha, Vo Thanh ; Vinh, Vo Quang
Actuators; Jan2024, Vol. 13 Issue 1, p26, 18p

MOBILE robots ROBOT control systems MACHINE learning ROBOT programming MOBILE learning REINFORCEMENT learning …
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170

基于 NRO-QMIX 的战场环境 多无人机协同目标搜索. (Chinese)
吴旭 ; 赵中原
Journal of Shandong University of Technology (Natural Science Edition); Nov2025, Vol. 39 Issue 6, p32-49, 10p

REINFORCEMENT learning PARTIALLY observable Mar... DRONE aircraft TARGET acquisition WAR MILITARY reconnaissance
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171

Enhanced Deep Autoencoder-Based Reinforcement Learning Model with Improved Flamingo Search Policy Selection for Attack Classification.
Roy, Dharani Kanta ; Kalita, Hemanta Kumar
Journal of Cybersecurity & Privacy; Mar2025, Vol. 5 Issue 1, p3, 31p

REINFORCEMENT learning DEEP reinforcement learn... MACHINE learning AUTOENCODERS SUPPORT vector machines INTRUSION detection syst... …
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172

Enhancing text generation in joint Nlg/Nlu learning through curriculum learning, semi-supervised training, and advanced optimization techniques.
Shaik, Rahimanuddin
Multimedia Tools & Applications; Sep2025, Vol. 84 Issue 30, p37377-37400, 24p

LANGUAGE models NATURAL language process... DISCOURSE REINFORCEMENT learning WRITTEN communication MACHINE learning …
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173

Simulation-based comparison of robust control and deep reinforcement learning control techniques for active suspension systems.
Hariharan, Arya ; Rajeswara Rao, K V S ; Hruthik, K K ; et al.
Systems Science & Control Engineering; Dec2025, Vol. 13 Issue 1, p1-19, 19p

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174

BindsNET: A Machine Learning-Oriented Spiking Neural Networks Library in Python.
Hazan H ; Saunders DJ ; Khan H ; et al.
Publisher: Frontiers Research Foundation Country of Publication: Switzerland NLM ID: 101477957 Publication Model: eCollection Cited Medium: Print ISSN: 1662-5196 (Print) Linking ISSN: 16625196 NLM ISO Abbreviation: Front Neuroinform Subsets: PubMed not MEDLINE

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175

Self-Learning AI for Flappy Bird using Neuro-Evolution of Augmenting Topologies.
Singh, Manvendra ; Rajput, Ujjawal ; Kumar, Harsh ; et al.
International Scientific Journal of Engineering & Management; Nov2025, Vol. 4 Issue 11, p1-6, 6p

ARTIFICIAL intelligence ARTIFICIAL neural networ... GENETIC algorithms VIDEO games
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176

Deep Reinforcement Learning Method for Optimizing English Translation Algorithms.
Guo, Qi
International Journal of High Speed Electronics & Systems. Jun2025, p1. 21p.

MATHEMATICAL optimizatio... NATURAL language process... REINFORCEMENT learning MACHINE translating SCHOLARLY method
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177

Indoor navigation app of healthcare facilities using machine learning algorithms.
Alsaaideh, Maysa ; Al-Bayari, Omar ; Alsaaidah, Bayan
Applied Geomatics; Dec2025, Vol. 17 Issue 4, p771-789, 19p

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178

A dynamic spectrum access algorithm based on deep reinforcement learning with novel multi-vehicle reward functions in cognitive vehicular networks.
Chen, Lingling ; Wang, Ziwei ; Zhao, Xiaohui ; et al.
Telecommunication Systems. Oct2024, Vol. 87 Issue 2, p359-383. 25p.

QUALITY of service PROBLEM solving DEEP reinforcement learn... REWARD (Psychology) DYNAMIC spectrum access REINFORCEMENT learning
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179

RECENT COMPUTATIONAL INTELLIGENCE DEVELOPMENTS: TECHNICAL AND SOCIAL ASPECTS.
MOLOIU, Alexandra Ştefania ; ALBEANU, Grigore ; POPENTIU-VLADICESCU, Florin
eLearning & Software for Education. 2020, Vol. 1, p429-436. 8p.

Computer science Algorithms Computational intelligen... Pattern recognition syst... Reinforcement learning Supervised learning …
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180

Chapter 3 - Machine learning workflows and types
In Machine Learning Guide for Oil and Gas Using Python 2021:97-123

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