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Papers matching “multi-agent deep reinforcement learning” 12

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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
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
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
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
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

12 results