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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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Scheduling Real-time Wireless Traffic: A Network-aided Offline Reinforcement Learning Approach

IEEE internet of things journal, 2023-12, Vol.10 (24), p.1-1

2023

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Offline-Online Actor-Critic

IEEE transactions on artificial intelligence, 2024-01, Vol.5 (1), p.61-69

2024

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Internet of robotic things for mobile robots: Concepts, technologies, challenges, applications, and future directions

Digital communications and networks, 2023-12, Vol.9 (6), p.1265-1290

2023

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Neurosymbolic Reinforcement Learning and Planning: A Survey

IEEE transactions on artificial intelligence, 2024-05, Vol.5 (5), p.1939-1953

2024

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Empowering Dynamic Active and Reactive Power Control: A Deep Reinforcement Learning Controller for Three-Phase Grid-Connected Electric Vehicles

IEEE access, 2024-01, Vol.12, p.1-1

2024

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A Game-Learning-Based Smooth Path Planning Strategy for Intelligent Air-Ground Vehicle Considering Mode Switching

IEEE transactions on transportation electrification, 2022-09, Vol.8 (3), p.3349-3366

2022

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A Review of Reinforcement Learning Based Intelligent Optimization for Manufacturing Scheduling

Complex System Modeling and Simulation, 2021-12, Vol.1 (4), p.257-270

2021

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Plug-in Hybrid Electric Vehicle (PHEV)

VAN Mierlo, Joeri

2019

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Deep Reinforcement Learning Enabled Self-Configurable Networks-on-Chip for High-Performance and Energy-Efficient Computing Systems

IEEE access, 2022, Vol.10, p.65339-65354

Reza, Md Farhadur

2022

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Learning to play against any mixture of opponents

Frontiers in artificial intelligence, 2023-07, Vol.6, p.804682-804682

2023

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H ∞ tracking control of completely unknown continuous-time systems via off-policy reinforcement learning

IEEE transaction on neural networks and learning systems, 2015-10, Vol.26 (10), p.2550-2562

2015

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Deep Reinforcement Learning: A Survey

IEEE transaction on neural networks and learning systems, 2024-04, Vol.35 (4), p.5064-5078

2024

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

IEEE transactions on cybernetics, 2020-09, Vol.50 (9), p.3826-3839

2020

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Distributed Fault-Tolerant Containment Control Protocols for the Discrete-Time Multiagent Systems via Reinforcement Learning Method

IEEE transaction on neural networks and learning systems, 2023-08, Vol.34 (8), p.3979-3991

2023

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A Survey on Offline Reinforcement Learning: Taxonomy, Review, and Open Problems

IEEE transaction on neural networks and learning systems, 2024-08, Vol.35 (8), p.10237-10257

2024

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Optimal and Autonomous Control Using Reinforcement Learning: A Survey

IEEE transaction on neural networks and learning systems, 2018-06, Vol.29 (6), p.2042-2062

2018

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Deep Direct Reinforcement Learning for Financial Signal Representation and Trading

IEEE transaction on neural networks and learning systems, 2017-03, Vol.28 (3), p.653-664

2017

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Distributional Soft Actor-Critic: Off-Policy Reinforcement Learning for Addressing Value Estimation Errors

IEEE transaction on neural networks and learning systems, 2022-11, Vol.33 (11), p.6584-6598

2022

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A self-learning genetic algorithm based on reinforcement learning for flexible job-shop scheduling problem

Computers & industrial engineering, 2020-11, Vol.149, p.106778, Article 106778

2020

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Deep Reinforcement Learning for 5G Networks: Joint Beamforming, Power Control, and Interference Coordination

IEEE transactions on communications, 2020-03, Vol.68 (3), p.1581-1592

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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Exploration in Continuous Control Tasks via Continually Parameterized Skills

IEEE transactions on games, 2018-12, Vol.10 (4), p.390-399

2018

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Adaptive Multigradient Recursive Reinforcement Learning Event-Triggered Tracking Control for Multiagent Systems

IEEE transaction on neural networks and learning systems, 2023-01, Vol.34 (1), p.144-156

2023

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A Survey of Optimization Methods From a Machine Learning Perspective

IEEE transactions on cybernetics, 2020-08, Vol.50 (8), p.3668-3681

2020

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

Scheduling Real-time Wireless Traffic: A Network-aided Offline Reinforcement Learning Approach

Offline-Online Actor-Critic

Internet of robotic things for mobile robots: Concepts, technologies, challenges, applications, and future directions

Neurosymbolic Reinforcement Learning and Planning: A Survey

Empowering Dynamic Active and Reactive Power Control: A Deep Reinforcement Learning Controller for Three-Phase Grid-Connected Electric Vehicles

A Game-Learning-Based Smooth Path Planning Strategy for Intelligent Air-Ground Vehicle Considering Mode Switching

A Review of Reinforcement Learning Based Intelligent Optimization for Manufacturing Scheduling

Plug-in Hybrid Electric Vehicle (PHEV)

Deep Reinforcement Learning Enabled Self-Configurable Networks-on-Chip for High-Performance and Energy-Efficient Computing Systems

Learning to play against any mixture of opponents

H ∞ tracking control of completely unknown continuous-time systems via off-policy reinforcement learning

Deep Reinforcement Learning: A Survey

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

Distributed Fault-Tolerant Containment Control Protocols for the Discrete-Time Multiagent Systems via Reinforcement Learning Method

A Survey on Offline Reinforcement Learning: Taxonomy, Review, and Open Problems

Optimal and Autonomous Control Using Reinforcement Learning: A Survey

Deep Direct Reinforcement Learning for Financial Signal Representation and Trading

Distributional Soft Actor-Critic: Off-Policy Reinforcement Learning for Addressing Value Estimation Errors

A self-learning genetic algorithm based on reinforcement learning for flexible job-shop scheduling problem

Deep Reinforcement Learning for 5G Networks: Joint Beamforming, Power Control, and Interference Coordination

Deep Reinforcement Learning for Sequence-to-Sequence Models

Exploration in Continuous Control Tasks via Continually Parameterized Skills

Adaptive Multigradient Recursive Reinforcement Learning Event-Triggered Tracking Control for Multiagent Systems

A Survey of Optimization Methods From a Machine Learning Perspective

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