Saved in:
| Main Authors: | Feng, Zixin, Zhao, Qunshan, Heppenstall, Alison |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2507.21341 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Contrastive learning-based agent modeling for deep reinforcement learning
by: Ma, Wenhao, et al.
Published: (2023)
by: Ma, Wenhao, et al.
Published: (2023)
Autonomous vehicles need social awareness to find optima in multi-agent reinforcement learning routing games
by: Psarou, Anastasia, et al.
Published: (2025)
by: Psarou, Anastasia, et al.
Published: (2025)
RouteRL: Multi-agent reinforcement learning framework for urban route choice with autonomous vehicles
by: Akman, Ahmet Onur, et al.
Published: (2025)
by: Akman, Ahmet Onur, et al.
Published: (2025)
Emergence of agriculture in an artificial society of reinforcement learning agents
by: Hamon, Gautier, et al.
Published: (2026)
by: Hamon, Gautier, et al.
Published: (2026)
Distributed scalable coupled policy algorithm for networked multi-agent reinforcement learning
by: Dai, Pengcheng, et al.
Published: (2025)
by: Dai, Pengcheng, et al.
Published: (2025)
The price of decentralization in managing engineering systems through multi-agent reinforcement learning
by: Bhustali, Prateek, et al.
Published: (2026)
by: Bhustali, Prateek, et al.
Published: (2026)
Assessing behaviour coverage in a multi-agent system simulation for autonomous vehicle testing
by: Franco-Vivo, Manuel
Published: (2025)
by: Franco-Vivo, Manuel
Published: (2025)
AOAD-MAT: Transformer-based multi-agent deep reinforcement learning model considering agents' order of action decisions
by: Takayama, Shota, et al.
Published: (2025)
by: Takayama, Shota, et al.
Published: (2025)
A novel multi-agent dynamic portfolio optimization learning system based on hierarchical deep reinforcement learning
by: Sun, Ruoyu, et al.
Published: (2025)
by: Sun, Ruoyu, et al.
Published: (2025)
Distributed primal-dual algorithm for constrained multi-agent reinforcement learning under coupled policies
by: Dai, Pengcheng, et al.
Published: (2025)
by: Dai, Pengcheng, et al.
Published: (2025)
Sorrel: A simple and flexible framework for multi-agent reinforcement learning
by: Gelpí, Rebekah A., et al.
Published: (2025)
by: Gelpí, Rebekah A., et al.
Published: (2025)
Social coordination perpetuates stereotypic expectations and behaviors across generations in deep multi-agent reinforcement learning
by: Gelpí, Rebekah A., et al.
Published: (2024)
by: Gelpí, Rebekah A., et al.
Published: (2024)
The challenge of hidden gifts in multi-agent reinforcement learning
by: Malenfant, Dane, et al.
Published: (2025)
by: Malenfant, Dane, et al.
Published: (2025)
The impact of behavioral diversity in multi-agent reinforcement learning
by: Bettini, Matteo, et al.
Published: (2024)
by: Bettini, Matteo, et al.
Published: (2024)
Scalable spectral representations for multi-agent reinforcement learning in network MDPs
by: Ren, Zhaolin, et al.
Published: (2024)
by: Ren, Zhaolin, et al.
Published: (2024)
Satellites swarm cooperation for pursuit-attachment tasks with transformer-based reinforcement learning
by: Li, yonghao
Published: (2024)
by: Li, yonghao
Published: (2024)
Exploiting inter-agent coupling information for efficient reinforcement learning of cooperative LQR
by: Syed, Shahbaz P Qadri, et al.
Published: (2025)
by: Syed, Shahbaz P Qadri, et al.
Published: (2025)
Improving monotonic optimization in heterogeneous multi-agent reinforcement learning with optimal marginal deterministic policy gradient
by: Yu, Xiaoyang, et al.
Published: (2025)
by: Yu, Xiaoyang, et al.
Published: (2025)
Decentralized multi-agent reinforcement learning algorithm using a cluster-synchronized laser network
by: Kotoku, Shun, et al.
Published: (2024)
by: Kotoku, Shun, et al.
Published: (2024)
An agentic system with reinforcement-learned subsystem improvements for parsing form-like documents
by: Amjad, Ayesha, et al.
Published: (2025)
by: Amjad, Ayesha, et al.
Published: (2025)
Multi-agent assignment via state augmented reinforcement learning
by: Agorio, Leopoldo, et al.
Published: (2024)
by: Agorio, Leopoldo, et al.
Published: (2024)
A review on reinforcement learning methods for mobility on demand systems
by: Chouaki, Tarek, et al.
Published: (2025)
by: Chouaki, Tarek, et al.
Published: (2025)
Multi-agent deep reinforcement learning with centralized training and decentralized execution for transportation infrastructure management
by: Saifullah, M., et al.
Published: (2024)
by: Saifullah, M., et al.
Published: (2024)
Multi-agent reinforcement learning using echo-state network and its application to pedestrian dynamics
by: Komatsu, Hisato
Published: (2023)
by: Komatsu, Hisato
Published: (2023)
Kernel-based learning with guarantees for multi-agent applications
by: Kowalczyk, Krzysztof, et al.
Published: (2024)
by: Kowalczyk, Krzysztof, et al.
Published: (2024)
Network Topology and Information Efficiency of Multi-Agent Systems: Study based on MARL
by: Zhang, Xinren, et al.
Published: (2025)
by: Zhang, Xinren, et al.
Published: (2025)
FoX: Formation-aware exploration in multi-agent reinforcement learning
by: Jo, Yonghyeon, et al.
Published: (2023)
by: Jo, Yonghyeon, et al.
Published: (2023)
On the limits of agency in agent-based models
by: Chopra, Ayush, et al.
Published: (2024)
by: Chopra, Ayush, et al.
Published: (2024)
Modelling crypto markets by multi-agent reinforcement learning
by: Lussange, Johann, et al.
Published: (2024)
by: Lussange, Johann, et al.
Published: (2024)
A simulation of urban incidents involving pedestrians and vehicles based on Weighted A*
by: Fernandez, Edgar Gonzalez
Published: (2026)
by: Fernandez, Edgar Gonzalez
Published: (2026)
Learning Efficient Communication Protocols for Multi-Agent Reinforcement Learning
by: Zhang, Xinren, et al.
Published: (2025)
by: Zhang, Xinren, et al.
Published: (2025)
Multi-Objective Constraint Inference using Inverse reinforcement learning
by: Shah, Syed Ihtesham Hussain, et al.
Published: (2026)
by: Shah, Syed Ihtesham Hussain, et al.
Published: (2026)
A multi-agent model of hierarchical decision dynamics
by: Kinsler, Paul
Published: (2024)
by: Kinsler, Paul
Published: (2024)
Multi-agent based modeling for investigating excess heat utilization from electrolyzer production to district heating network
by: Christensen, Kristoffer, et al.
Published: (2024)
by: Christensen, Kristoffer, et al.
Published: (2024)
An agent-based model of modal choice with perception biases and habits
by: Adam, Carole, et al.
Published: (2024)
by: Adam, Carole, et al.
Published: (2024)
Detecting subtle cyberattacks on adaptive cruise control vehicles: A machine learning approach
by: Li, Tianyi, et al.
Published: (2023)
by: Li, Tianyi, et al.
Published: (2023)
ARMCHAIR: integrated inverse reinforcement learning and model predictive control for human-robot collaboration
by: Caregnato-Neto, Angelo, et al.
Published: (2024)
by: Caregnato-Neto, Angelo, et al.
Published: (2024)
CPIG: Leveraging Consistency Policy with Intention Guidance for Multi-agent Exploration
by: Fu, Yuqian, et al.
Published: (2024)
by: Fu, Yuqian, et al.
Published: (2024)
Distributed maze exploration using multiple agents and optimal goal assignment
by: Linardakis, Manousos, et al.
Published: (2024)
by: Linardakis, Manousos, et al.
Published: (2024)
FREIDA: A Framework for developing quantitative agent based models based on qualitative expert knowledge
by: Oetker, Frederike, et al.
Published: (2023)
by: Oetker, Frederike, et al.
Published: (2023)
Similar Items
-
Contrastive learning-based agent modeling for deep reinforcement learning
by: Ma, Wenhao, et al.
Published: (2023) -
Autonomous vehicles need social awareness to find optima in multi-agent reinforcement learning routing games
by: Psarou, Anastasia, et al.
Published: (2025) -
RouteRL: Multi-agent reinforcement learning framework for urban route choice with autonomous vehicles
by: Akman, Ahmet Onur, et al.
Published: (2025) -
Emergence of agriculture in an artificial society of reinforcement learning agents
by: Hamon, Gautier, et al.
Published: (2026) -
Distributed scalable coupled policy algorithm for networked multi-agent reinforcement learning
by: Dai, Pengcheng, et al.
Published: (2025)