From

Institution

Field

Type

Open access only Cited by patents (Lens) Include non-Aachen papers (citing/cited)

Reset

Papers matching “multi-agent deep reinforcement learning” 18

Sort: Relevance Cited Newest Oldest Fwci Patents ⇩ CSV

Not finding it? Sign in to also search OpenAlex live.

A Collaborative Multi-Agent Deep Reinforcement Learning-Based Wireless Power Allocation With Centralized Training and Decentralized Execution
2024 IEEE Transactions on Communications article Engineering Advanced Wireless Network Optimization

Amna Kopic, Erma Perenda, Haris Gacanin

34

citations
Action Space-Independent Exploration Methods in Multi-Agent Deep Reinforcement Learning for Wireless Power Allocation
2024 IEEE Wireless Communications and Networking Conference conference-paper Computer Science Reinforcement Learning in Robotics

Amna Kopic, Erma Perenda, Haris Gacanin

1

citations
Multi-Agent Reinforcement Learning Resources Allocation Method Using Dueling Double Deep Q-Network in Vehicular Networks
2023 IEEE Transactions on Vehicular Technology article Engineering Vehicular Ad Hoc Networks (VANETs)

Yuxin Ji, Yu Wang, Haitao Zhao, Guan Gui, Haris Gacanin, Hikmet Sari, +1 more

88

citations
Advancing urban electric vehicle charging stations: AI-driven day-ahead optimization of pricing and Nudge strategies utilizing multi-agent deep reinforcement learning
2024 eTransportation article Engineering Electric Vehicles and Infrastructure

Ziqi Zhang, Zhong Chen, Erdem Gümrükcü, Zhenya Ji, Ferdinanda Ponci, Antonello Monti

35

citations
Day-Ahead Optimization of Pricing and Nudge Strategies for Urban Public Charging Stations Based on Multi-Agent Deep Reinforcement Learning
2023 SSRN Electronic Journal preprint Engineering Electric Vehicles and Infrastructure Open access

Ziqi Zhang, Zhong Chen, Erdem Gümrükcü, Zhenya Ji, Ferdinanda Ponci, Antonello Monti

0

citations
A Heterogeneous Multi-agent Deep Reinforcement Learning Framework for Wireless Power Allocation under Realistic Urban Mobility Models
2025 Globecom conference-paper Engineering Advanced Wireless Network Optimization

Amna Kopic, Ivan Karetić, Erma Perenda, Firooz B. Saghezchi, Haris GACANIN

0

citations
Simulation of strategic bidding for battery storage and e-mobility in local flexibility markets with multi-agent reinforcement learning
2022 IET conference proceedings. conference-paper Engineering Smart Grid Energy Management

J. Tran, L. Gajewski, P. Pfeifer, S. Krahl, A. Moser

0

citations
Wireless MAC Protocol Synthesis and Optimization With Multi-Agent Distributed Reinforcement Learning
2024 IEEE Networking Letters article Computer Science Wireless Networks and Protocols Open access cited by 1 patent

Navid Keshtiarast, Oliver Renaldi, Marina Petrova

12

citations
Multi-Agent Reinforcement Learning Aided Resources Allocation Method in Vehicular Networks
2022 IEEE Vehicular Technology Conference conference-paper Engineering Vehicular Ad Hoc Networks (VANETs)

Yuxin Ji, Xixi Zhang, Yu Wang, Haris Gacanin, Hikmet Sari, Fumiyuki Adachi, +1 more

1

citations
L2M-AID: Autonomous Cyber-Physical Defense by Fusing Semantic Reasoning of Large Language Models with Multi-Agent Reinforcement Learning
2025 IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom) conference-paper Computer Science Network Security and Intrusion Detection cited by 1 patent

Tianxiang Xu, Zhichao Wen, Xinyu Zhao, Yan Li, Chang Liu

4

citations
Multi agent reinforcement learning for online layout planning and scheduling in flexible assembly systems
2024 Journal of Intelligent Manufacturing article Engineering Scheduling and Optimization Algorithms Open access cited by 2 patents

Lea Kaven, Philipp Huke, Amon Göppert, Robert Heinrich Schmitt

43

citations
Unveiling the Effects of Experience Replay on Deep Reinforcement Learning-based Power Allocation in Wireless Networks
2024 IEEE Wireless Communications and Networking Conference conference-paper Engineering Advanced Wireless Network Optimization

Amna Kopic, Erma Perenda, Haris Gacanin

1

citations
Federated deep reinforcement learning based trajectory design for UAV-assisted networks with mobile ground devices
2024 Scientific Reports article Engineering UAV Applications and Optimization Open access cited by 1 patent

Yunfei Gao, Mingliu Liu, Xiaopeng Yuan, Yulin Hu, Peng Sun, Anke Schmeink

23

citations
ASSUME: An agent-based simulation framework for exploring electricity market dynamics with reinforcement learning
2025 SoftwareX software-paper Engineering Electric Power System Optimization Open access

Nick Harder, Kim K. Miskiw, Manish Khanra, Florian Maurer, Ramiz Qussous, Christof Weinhardt, +3 more

13

citations
Multiagent Deep Reinforcement Learning: Challenges and Directions Towards Human-Like Approaches.
2021 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Annie Wong, Thomas Bäck, Anna V. Kononova, Aske Plaat

12

citations
A Benchmark Study of Deep Reinforcement Learning Algorithms for the Container Stowage Planning Problem
2026 Lecture notes in logistics conference-paper Engineering Maritime Ports and Logistics Open access

Nishith Chennakeshava, Alexis Carras, Wei Liu, Aske Plaat, Yingjie Fan

1

citations
Learning to Cooperate with Human Evaluative Feedback and Demonstrations
2022 Frontiers in artificial intelligence and applications book-chapter Computer Science Reinforcement Learning in Robotics Open access

Mehul Verma, Erman Acar

0

citations
AoI-Based Scalable Edge Computing Resource Allocation in Heterogeneous IIoT Systems
2025 IEEE Wireless Communications and Networking Conference conference-paper Computer Science IoT and Edge/Fog Computing

Daniel S. Zakamulin, Mohsen Pourghasemian, Firooz B. Saghezchi, Haris Gacanin

1

citations

18 results