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A deep recurrent Q network towards self‐adapting distributed microservice architecture

Software, practice & experience, 2020-02, Vol.50 (2), p.116-135

2020

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Q-learning with heterogeneous update strategy

Information sciences, 2024-01, Vol.656, p.119902, Article 119902

2024

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Data-Driven H∞ Optimal Output Feedback Control for Linear Discrete-Time Systems Based on Off-Policy Q-Learning

IEEE transaction on neural networks and learning systems, 2023-07, Vol.34 (7), p.3553-3567

2023

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Double Deep Q -Learning-Based Distributed Operation of Battery Energy Storage System Considering Uncertainties

IEEE transactions on smart grid, 2020-01, Vol.11 (1), p.457-469

2020

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RCsearcher: Reaction center identification in retrosynthesis via deep Q-learning

Pattern recognition, 2024-06, Vol.150, Article 110318

2024

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A Compact Dqn Model for Mobile Agents with Collision Avoidance

Journal of automation, mobile robotics & intelligent systems, 2023-06, Vol.17 (2), p.28-35

Kamola, Mariusz

2023

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Intelligent energy management for hybrid electric tracked vehicles using online reinforcement learning

Applied energy, 2019-10, Vol.251, p.113388, Article 113388

2019

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A Multi-Agent Reinforcement Learning-Based Data-Driven Method for Home Energy Management

IEEE transactions on smart grid, 2020-07, Vol.11 (4), p.3201-3211

2020

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Deep Reinforcement Learning for Sequence-to-Sequence Models

IEEE transaction on neural networks and learning systems, 2020-07, Vol.31 (7), p.2469-2489

2020

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The Efficacy of Pessimism in Asynchronous Q-Learning

IEEE transactions on information theory, 2023-11, Vol.69 (11), p.1-1

2023

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A Self-Adaptive Reinforcement-Exploration Q-Learning Algorithm

Symmetry (Basel), 2021-06, Vol.13 (6), p.1057

2021

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Learning for Computation Offloading in Mobile Edge Computing

IEEE transactions on communications, 2018-12, Vol.66 (12), p.6353-6367

2018

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Hybrid Learning based Radio Resource Management in 5G Heterogeneous Networks

Pakistan Journal of Engineering & Technology, 2023-03, Vol.6 (1), p.92-97

2023

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Multiple targets traversing for unmanned surface vehicles by bundled genetic optimization and fast-marching Q-Learning

Ocean engineering, 2024-06, Vol.302, Article 117632

2024

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Deep Reinforcement Learning for Resource Management in Network Slicing

IEEE access, 2018, Vol.6, p.74429-74441

2018

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Parametric study on reinforcement learning optimized energy management strategy for a hybrid electric vehicle

Applied energy, 2020-02, Vol.259, p.114200, Article 114200

2020

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Evaluation of Reinforcement Learning-Based False Data Injection Attack to Automatic Voltage Control

IEEE transactions on smart grid, 2019-03, Vol.10 (2), p.2158-2169

2019

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Dynamic Service Function Chain Embedding for NFV-Enabled IoT: A Deep Reinforcement Learning Approach

IEEE transactions on wireless communications, 2020-01, Vol.19 (1), p.507-519

2020

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A New Deep-Q-Learning-Based Transmission Scheduling Mechanism for the Cognitive Internet of Things

IEEE internet of things journal, 2018-08, Vol.5 (4), p.2375-2385

2018

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Condition-based maintenance strategy for redundant systems with arbitrary structures using improved reinforcement learning

Reliability engineering & system safety, 2022-09, Vol.225, p.108643, Article 108643

2022

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Omnidirectional-Wheel Conveyor Path Planning and Sorting Using Reinforcement Learning Algorithms

IEEE access, 2022, Vol.10, p.27945-27959

2022

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Reinforcement-Learning-Based Intelligent Maximum Power Point Tracking Control for Wind Energy Conversion Systems

IEEE transactions on industrial electronics (1982), 2015-10, Vol.62 (10), p.6360-6370

2015

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Multi-Agent Q-Learning for Real-Time Load Balancing User Association and Handover in Mobile Networks

IEEE transactions on wireless communications, 2024, p.1-1

2024

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A mobile node path optimization approach based on Q-learning to defend against cascading failures on static-mobile networks

Chaos, solitons and fractals, 2024-05, Vol.182, Article 114712

2024

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Energy Management in Smart Cities Based on Internet of Things: Peak Demand Reduction and Energy Savings

Sensors (Basel, Switzerland), 2017-12, Vol.17 (12), p.2812

2017

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A deep recurrent Q network towards self‐adapting distributed microservice architecture

Q-learning with heterogeneous update strategy

Data-Driven H∞ Optimal Output Feedback Control for Linear Discrete-Time Systems Based on Off-Policy Q-Learning

Double Deep Q -Learning-Based Distributed Operation of Battery Energy Storage System Considering Uncertainties

RCsearcher: Reaction center identification in retrosynthesis via deep Q-learning

A Compact Dqn Model for Mobile Agents with Collision Avoidance

Intelligent energy management for hybrid electric tracked vehicles using online reinforcement learning

A Multi-Agent Reinforcement Learning-Based Data-Driven Method for Home Energy Management

Deep Reinforcement Learning for Sequence-to-Sequence Models

The Efficacy of Pessimism in Asynchronous Q-Learning

A Self-Adaptive Reinforcement-Exploration Q-Learning Algorithm

Learning for Computation Offloading in Mobile Edge Computing

Hybrid Learning based Radio Resource Management in 5G Heterogeneous Networks

Multiple targets traversing for unmanned surface vehicles by bundled genetic optimization and fast-marching Q-Learning

Deep Reinforcement Learning for Resource Management in Network Slicing

Parametric study on reinforcement learning optimized energy management strategy for a hybrid electric vehicle

Evaluation of Reinforcement Learning-Based False Data Injection Attack to Automatic Voltage Control

Dynamic Service Function Chain Embedding for NFV-Enabled IoT: A Deep Reinforcement Learning Approach

A New Deep-Q-Learning-Based Transmission Scheduling Mechanism for the Cognitive Internet of Things

Condition-based maintenance strategy for redundant systems with arbitrary structures using improved reinforcement learning

Omnidirectional-Wheel Conveyor Path Planning and Sorting Using Reinforcement Learning Algorithms

Reinforcement-Learning-Based Intelligent Maximum Power Point Tracking Control for Wind Energy Conversion Systems

Multi-Agent Q-Learning for Real-Time Load Balancing User Association and Handover in Mobile Networks

A mobile node path optimization approach based on Q-learning to defend against cascading failures on static-mobile networks

Energy Management in Smart Cities Based on Internet of Things: Peak Demand Reduction and Energy Savings

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