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Deep Reinforcement Learning for Autonomous Driving: A Survey

IEEE transactions on intelligent transportation systems, 2022-06, Vol.23 (6), p.4909-4926

2022

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Multi-Agent Deep Reinforcement Learning for Large-Scale Traffic Signal Control

IEEE transactions on intelligent transportation systems, 2020-03, Vol.21 (3), p.1086-1095

2020

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Single and Multi-Agent Deep Reinforcement Learning for AI-Enabled Wireless Networks: A Tutorial

IEEE Communications surveys and tutorials, 2021-01, Vol.23 (2), p.1226-1252

2021

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Adaptive pessimism via target Q-value for offline reinforcement learning

Neural networks, 2024-12, Vol.180, p.106588, Article 106588

2024

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Hierarchical Reinforcement Learning: A Comprehensive Survey

ACM computing surveys, 2021-06, Vol.54 (5), p.1-35

2021

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Challenges of real-world reinforcement learning: definitions, benchmarks and analysis

Machine learning, 2021-09, Vol.110 (9), p.2419-2468

2021

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Adaptive Power System Emergency Control Using Deep Reinforcement Learning

IEEE transactions on smart grid, 2020-03, Vol.11 (2), p.1171-1182

2020

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Safe Off-Policy Deep Reinforcement Learning Algorithm for Volt-VAR Control in Power Distribution Systems

IEEE transactions on smart grid, 2020-07, Vol.11 (4), p.3008-3018

2020

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Deep clustering of cooperative multi-agent reinforcement learning to optimize multi chiller HVAC systems for smart buildings energy management

Journal of Building Engineering, 2023-04, Vol.65, p.105689, Article 105689

2023

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Deep Reinforcement Learning Based Resource Allocation for V2V Communications

IEEE transactions on vehicular technology, 2019-04, Vol.68 (4), p.3163-3173

2019

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GAN-Powered Deep Distributional Reinforcement Learning for Resource Management in Network Slicing

IEEE journal on selected areas in communications, 2020-02, Vol.38 (2), p.334-349

2020

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Applications of Deep Reinforcement Learning in Communications and Networking: A Survey

IEEE Communications surveys and tutorials, 2019-01, Vol.21 (4), p.3133-3174

2019

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Reinforcement Learning and Its Applications in Modern Power and Energy Systems: A Review

Journal of modern power systems and clean energy, 2020-11, Vol.8 (6), p.1029-1042

2020

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Federated Reinforcement Learning for Energy Management of Multiple Smart Homes With Distributed Energy Resources

IEEE transactions on industrial informatics, 2022-01, Vol.18 (1), p.488-497

2022

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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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Evolutionary reinforcement learning with action sequence search for imperfect information games

Information sciences, 2024-08, Vol.676, p.120804, Article 120804

2024

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Offline Reinforcement Learning for Wireless Network Optimization with Mixture Datasets

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

2024

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Deep Reinforcement Learning based Energy Efficient Edge Computing for Internet of Vehicles

IEEE transactions on industrial informatics, 2022-09, Vol.18 (9), p.1-1

2022

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Multi-Agent Reinforcement Learning-Based Resource Allocation for UAV Networks

IEEE transactions on wireless communications, 2020-02, Vol.19 (2), p.729-743

2020

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Nash double Q-based multi-agent deep reinforcement learning for interactive merging strategy in mixed traffic

Expert systems with applications, 2024-03, Vol.237, p.121458, Article 121458

2024

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Maintenance optimisation of multicomponent systems using hierarchical coordinated reinforcement learning

Reliability engineering & system safety, 2022-01, Vol.217, p.108078, Article 108078

2022

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A Tutorial on Ultrareliable and Low-Latency Communications in 6G: Integrating Domain Knowledge Into Deep Learning

Proceedings of the IEEE, 2021-03, Vol.109 (3), p.204-246

2021

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

IEEE internet of things journal, 2018-04, Vol.5 (2), p.624-635

2018

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Teacher-Student Curriculum Learning

IEEE transaction on neural networks and learning systems, 2020-09, Vol.31 (9), p.3732-3740

2020

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Automated Feature Selection: A Reinforcement Learning Perspective

IEEE transactions on knowledge and data engineering, 2023-03, Vol.35 (3), p.2272-2284

2023

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Deep Reinforcement Learning for Autonomous Driving: A Survey

Multi-Agent Deep Reinforcement Learning for Large-Scale Traffic Signal Control

Single and Multi-Agent Deep Reinforcement Learning for AI-Enabled Wireless Networks: A Tutorial

Adaptive pessimism via target Q-value for offline reinforcement learning

Hierarchical Reinforcement Learning: A Comprehensive Survey

Challenges of real-world reinforcement learning: definitions, benchmarks and analysis

Adaptive Power System Emergency Control Using Deep Reinforcement Learning

Safe Off-Policy Deep Reinforcement Learning Algorithm for Volt-VAR Control in Power Distribution Systems

Deep clustering of cooperative multi-agent reinforcement learning to optimize multi chiller HVAC systems for smart buildings energy management

Deep Reinforcement Learning Based Resource Allocation for V2V Communications

GAN-Powered Deep Distributional Reinforcement Learning for Resource Management in Network Slicing

Applications of Deep Reinforcement Learning in Communications and Networking: A Survey

Reinforcement Learning and Its Applications in Modern Power and Energy Systems: A Review

Federated Reinforcement Learning for Energy Management of Multiple Smart Homes With Distributed Energy Resources

Deep Reinforcement Learning: A Survey

Evolutionary reinforcement learning with action sequence search for imperfect information games

Offline Reinforcement Learning for Wireless Network Optimization with Mixture Datasets

Deep Reinforcement Learning based Energy Efficient Edge Computing for Internet of Vehicles

Multi-Agent Reinforcement Learning-Based Resource Allocation for UAV Networks

Nash double Q-based multi-agent deep reinforcement learning for interactive merging strategy in mixed traffic

Maintenance optimisation of multicomponent systems using hierarchical coordinated reinforcement learning

A Tutorial on Ultrareliable and Low-Latency Communications in 6G: Integrating Domain Knowledge Into Deep Learning

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

Teacher-Student Curriculum Learning

Automated Feature Selection: A Reinforcement Learning Perspective

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