Reinforcement and deep reinforcement learning for wireless Internet of Things: A survey

Deep Reinforcement Learning for Resource Protection and Real-Time Detection in IoT Environment

(2020) Wei Liang et al.   IEEE Internet of Things Journal

Deep Reinforcement Learning for Multiagent Systems: A Review of Challenges, Solutions, and Applications

(2020) Thanh Thi Nguyen et al.   IEEE Transactions on Cybernetics

Reinforcement Learning-Based Data Forwarding in Underwater Wireless Sensor Networks with Passive Mobility

(2019) Haotian Chang et al.   SENSORS

Optimizing the lifetime of wireless sensor networks via reinforcement-learning-based routing

(2019) Wenjing Guo et al.   International Journal of Distributed Sensor Networks

An Effective Spectrum Handoff Based on Reinforcement Learning for Target Channel Selection in the Industrial Internet of Things

(2019) Stephen Oyewobi et al.   SENSORS

A Trusted Routing Scheme Using Blockchain and Reinforcement Learning for Wireless Sensor Networks

(2019) Jidian Yang et al.   SENSORS

Geographic and Opportunistic Recovery with Depth and Power Transmission Adjustment for Energy-Efficiency and Void Hole Alleviation in UWSNs

(2019) Abdul Mateen et al.   SENSORS

Internet of Things: A survey on machine learning-based intrusion detection approaches

(2019) Kelton A.P. da Costa et al.   Computer Networks

Routing for Crowd Management in Smart Cities: A Deep Reinforcement Learning Perspective

(2019) Lei Zhao et al.   IEEE COMMUNICATIONS MAGAZINE

Optimal Wireless Charging Inclusive of Intellectual Routing Based on SARSA Learning in Renewable Wireless Sensor Networks

(2019) Nelofar Aslam et al.   IEEE SENSORS JOURNAL

iRAF: A Deep Reinforcement Learning Approach for Collaborative Mobile Edge Computing IoT Networks

(2019) Jienan Chen et al.   IEEE Internet of Things Journal

Deep reinforcement learning mechanism for dynamic access control in wireless networks handling mMTC

(2019) Diego Pacheco-Paramo et al.   Ad Hoc Networks

A Q-learning algorithm for task scheduling based on improved SVM in wireless sensor networks

(2019) Zhenchun Wei et al.   Computer Networks

Deep Reinforcement Learning for Offloading and Resource Allocation in Vehicle Edge Computing and Networks

(2019) Yi Liu et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

Automatic MAC protocol selection in wireless networks based on reinforcement learning

(2019) André Gomes et al.   COMPUTER COMMUNICATIONS

Reinforcement Learning (RL)-Based Energy Efficient Resource Allocation for Energy Harvesting-Powered Wireless Body Area Network

(2019) Yi-Han Xu et al.   SENSORS

A survey of dynamic spectrum allocation based on reinforcement learning algorithms in cognitive radio networks

(2018) Yonghua Wang et al.   ARTIFICIAL INTELLIGENCE REVIEW

Scheduling the Operation of a Connected Vehicular Network Using Deep Reinforcement Learning

(2018) Ribal F. Atallah et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Self-Learning Power Control in Wireless Sensor Networks

(2018) Michele Chincoli et al.   SENSORS

Self-Learning-Based Data Aggregation Scheduling Policy in Wireless Sensor Networks

(2018) Yao Lu et al.   Journal of Sensors

A survey on application of machine learning for Internet of Things

(2018) Laizhong Cui et al.   International Journal of Machine Learning and Cybernetics

Semisupervised Deep Reinforcement Learning in Support of IoT and Smart City Services

(2018) Mehdi Mohammadi et al.   IEEE Internet of Things Journal

Machine learning algorithms for wireless sensor networks: A survey

(2018) D. Praveen Kumar et al.   Information Fusion

Novel Learning Algorithms for Efficient Mobile Sink Data Collection Using Reinforcement Learning in Wireless Sensor Network

(2018) Santosh Soni et al.   WIRELESS COMMUNICATIONS & MOBILE COMPUTING

A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play

(2018) David Silver et al.   SCIENCE

Joint Optimization of Caching, Computing, and Radio Resources for Fog-Enabled IoT Using Natural Actor–Critic Deep Reinforcement Learning

(2018) Yifei Wei et al.   IEEE Internet of Things Journal

Caching Transient Data for Internet of Things: A Deep Reinforcement Learning Approach

(2018) Hao Zhu et al.   IEEE Internet of Things Journal

Artificial agent: The fusion of artificial intelligence and a mobile agent for energy-efficient traffic control in wireless sensor networks

(2018) Jiayi Lu et al.   Future Generation Computer Systems-The International Journal of eScience

Blockchain-Enabled Data Collection and Sharing for Industrial IoT With Deep Reinforcement Learning

(2018) Chi Harold Liu et al.   IEEE Transactions on Industrial Informatics

Deep Reinforcement Learning: A Brief Survey

(2017) Kai Arulkumaran et al.   IEEE SIGNAL PROCESSING MAGAZINE

Energy-aware task scheduling by a true online reinforcement learning in wireless sensor networks

(2017) Muhidul Islam Khan et al.   International Journal of Sensor Networks

Use of Q-learning approaches for practical medium access control in wireless sensor networks

(2016) Selahattin Kosunalp et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

MRL-SCSO: Multi-agent Reinforcement Learning-Based Self-Configuration and Self-Optimization Protocol for Unattended Wireless Sensor Networks

(2016) A. Pravin Renold et al.   WIRELESS PERSONAL COMMUNICATIONS

Underwater Optical Wireless Communication

(2016) Hemani Kaushal et al.   IEEE Access

Human-level control through deep reinforcement learning

(2015) Volodymyr Mnih et al.   NATURE

Deep learning

(2015) Yann LeCun et al.   NATURE

Deep learning in neural networks: An overview

(2015) Jürgen Schmidhuber   NEURAL NETWORKS

The Internet of Things for Health Care: A Comprehensive Survey

(2015) S. M. Riazul Islam et al.   IEEE Access

An overview of Internet of Vehicles

(2014) Fangchun Yang et al.   China Communications

Application of reinforcement learning to routing in distributed wireless networks: a review

(2013) Hasan A. A. Al-Rawi et al.   ARTIFICIAL INTELLIGENCE REVIEW

A comprehensive survey on vehicular Ad Hoc network

(2013) Saif Al-Sultan et al.   JOURNAL OF NETWORK AND COMPUTER APPLICATIONS

A Survey of Actor-Critic Reinforcement Learning: Standard and Natural Policy Gradients

(2012) Ivo Grondman et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND RE

A Survey of Monte Carlo Tree Search Methods

(2012) Cameron B. Browne et al.   IEEE Transactions on Computational Intelligence and AI in Games

Applications, challenges, and prospective in emerging body area networking technologies

(2010) Maulin Patel et al.   IEEE WIRELESS COMMUNICATIONS

A Survey on Transfer Learning

(2009) Sinno Jialin Pan et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING