# MALTA 2025 : AAAI-2025 Workshop: Multi-Agent Reinforcement Learning for Transportation Autonomy

Taking place in Panama, Conference was concluded on March 03, 2025. Primary subject areas for this edition include Civil &amp; Transportation Engineering, Robotics &amp; Autonomous Systems and Artificial Intelligence.

**Type**: Conference
**Status**: Expired
**Verified On**: 9th May, 2026

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## ⏱ Critical Deadline
> *No submission deadline specified*

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## 📍 Event Information
- **Mode**: In Person
- **Location**: Panama
- **Field**: Interdisciplinary
- **Date**: March 3, 2025
- **Official Website**: [https://sites.google.com/view/malta2025](https://sites.google.com/view/malta2025?utm_source=callforpaper.org)
- **Sponsors / In Cooperation**: AAAI

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## 📝 Call for Papers Description


<a href="https://callforpaper.org/categories/conomie" title="Browse  call for papers" rel="follow" aria-label="View more  call for papers" class="!text-inherit !font-normal !underline decoration-dotted decoration-slate-400/60 underline-offset-4 cursor-pointer hover:decoration-slate-900 dark:hover:decoration-slate-100 transition-colors"></a>This <a href="https://callforpaper.org/categories/workshop-1" title="Browse workshop call for papers" rel="follow" aria-label="View more workshop call for papers" class="!text-inherit !font-normal !underline decoration-dotted decoration-slate-400/60 underline-offset-4 cursor-pointer hover:decoration-slate-900 dark:hover:decoration-slate-100 transition-colors">workshop</a> will explore the challenges and opportunities of Multi-Agent Reinforcement Learning (MARL) in the context of autonomous transportation <a href="https://callforpaper.org/categories/systems" title="Browse systems call for papers" rel="follow" aria-label="View more systems call for papers" class="!text-inherit !font-normal !underline decoration-dotted decoration-slate-400/60 underline-offset-4 cursor-pointer hover:decoration-slate-900 dark:hover:decoration-slate-100 transition-colors">systems</a>. It aims to address critical issues such as coordination, cooperation, <a href="https://callforpaper.org/categories/scalability-1" title="Browse scalability call for papers" rel="follow" aria-label="View more scalability call for papers" class="!text-inherit !font-normal !underline decoration-dotted decoration-slate-400/60 underline-offset-4 cursor-pointer hover:decoration-slate-900 dark:hover:decoration-slate-100 transition-colors">scalability</a>, and real-time decision-making among multiple autonomous agents in complex, real-world transportation environments. The workshop will cover topics including traffic <a href="https://callforpaper.org/categories/optimization-1" title="Browse optimization call for papers" rel="follow" aria-label="View more optimization call for papers" class="!text-inherit !font-normal !underline decoration-dotted decoration-slate-400/60 underline-offset-4 cursor-pointer hover:decoration-slate-900 dark:hover:decoration-slate-100 transition-colors">optimization</a>, fleet management, and intelligent infrastructure, bringing together experts from academia and industry to discuss the latest advancements and practical applications of MARL. <br><br>Topics <br>Topics of interest include MARL algorithms for autonomous transportation, encompassing cooperative and competitive approaches, traffic optimization, congestion management, fleet management, and autonomous vehicle coordination. This also involves MARL-based decision-making, planning, and communication strategies for autonomous agents. Further topics include transfer learning, generalization across transportation scenarios, safety and ethical considerations, and the scalability and real-time adaptation of MARL algorithms. Hybrid approaches combining MARL with <a href="https://callforpaper.org/categories/deep-learning-2" title="Browse deep learning call for papers" rel="follow" aria-label="View more deep learning call for papers" class="!text-inherit !font-normal !underline decoration-dotted decoration-slate-400/60 underline-offset-4 cursor-pointer hover:decoration-slate-900 dark:hover:decoration-slate-100 transition-colors">deep learning</a>, game theory, and other techniques are also of interest, along with simulations, real-world <a href="https://callforpaper.org/categories/deployment-1" title="Browse deployment call for papers" rel="follow" aria-label="View more deployment call for papers" class="!text-inherit !font-normal !underline decoration-dotted decoration-slate-400/60 underline-offset-4 cursor-pointer hover:decoration-slate-900 dark:hover:decoration-slate-100 transition-colors">deployment</a>, urban <a href="https://callforpaper.org/categories/mobility-1" title="Browse mobility call for papers" rel="follow" aria-label="View more mobility call for papers" class="!text-inherit !font-normal !underline decoration-dotted decoration-slate-400/60 underline-offset-4 cursor-pointer hover:decoration-slate-900 dark:hover:decoration-slate-100 transition-colors">mobility</a>, <a href="https://callforpaper.org/categories/logistics-1" title="Browse logistics call for papers" rel="follow" aria-label="View more logistics call for papers" class="!text-inherit !font-normal !underline decoration-dotted decoration-slate-400/60 underline-offset-4 cursor-pointer hover:decoration-slate-900 dark:hover:decoration-slate-100 transition-colors">logistics</a>, and ride-sharing applications. Evaluation metrics, benchmarks for performance assessment, human-agent interactions, and ensuring the robustness and <a href="https://callforpaper.org/categories/resilience-1" title="Browse resilience call for papers" rel="follow" aria-label="View more resilience call for papers" class="!text-inherit !font-normal !underline decoration-dotted decoration-slate-400/60 underline-offset-4 cursor-pointer hover:decoration-slate-900 dark:hover:decoration-slate-100 transition-colors">resilience</a> of MARL algorithms in uncertain or adversarial environments are key areas of focus as well. <br><br>Format of Workshop <br>The workshop will be a one-day meeting comprising keynote talks from researchers in the field, contributed talks, spotlight talks and a poster session where contributing paper presenters can discuss their work. Attendance is open to all registered participants. <br><br>Attendance <br>Anyone with interest in the workshop, and registered for AAAI workshops, is welcome to attend. <br><br>Submission <a href="https://callforpaper.org/categories/requirements-1" title="Browse requirements call for papers" rel="follow" aria-label="View more requirements call for papers" class="!text-inherit !font-normal !underline decoration-dotted decoration-slate-400/60 underline-offset-4 cursor-pointer hover:decoration-slate-900 dark:hover:decoration-slate-100 transition-colors">requirements</a>  <br>Either extended abstracts (4 pages) or full papers (7 pages) anonymized using the AAAI 2025 style guidelines, not including references and supplementary can be submitted. We welcome articles currently under review or papers planned for publication elsewhere as extended abstracts. <br><br>Submission Site <a href="https://callforpaper.org/categories/information-1" title="Browse Information call for papers" rel="follow" aria-label="View more Information call for papers" class="!text-inherit !font-normal !underline decoration-dotted decoration-slate-400/60 underline-offset-4 cursor-pointer hover:decoration-slate-900 dark:hover:decoration-slate-100 transition-colors">Information</a>  <br><br><br>Workshop Chairs<br>Vaneet Aggarwal, Purdue University, vaneet@purdue.edu <br>Carlee Joe-Wong, CMU, cjoewong@andrew.cmu.edu <br>Zhiwei (Tony) Qin, Eva AI (foreva.ai), zq2107@caa.columbia.edu <br>Satish Ukkusuri, Purdue University, sukkusur@purdue.edu <br><br>Workshop URL<br><br><br>Important Dates:<br>Paper (full/poster/short/position) submission deadline: November 17, 2024<br>Author Notification: December 9, 2024<br>Presentation/Poster Upload: Feb 1, 2025<br>Workshop date: March 3, 2025
	

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## 🏷 Taxonomy &amp; Topics
- **Primary Category**: N/A
- **Research Fields**: 
  - Civil &amp; Transportation Engineering
  - Robotics &amp; Autonomous Systems
  - Artificial Intelligence
  - Uncategorized

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## 🧭 Agent Instructions
- **Standard Link**: `https://callforpaper.org/cfp/malta-2025-aaai-2025-workshop-multi-agent-reinforcement-learning-for-transportation-autonomy_2195`
- **Markdown Link**: `https://callforpaper.org/cfp/malta-2025-aaai-2025-workshop-multi-agent-reinforcement-learning-for-transportation-autonomy_2195.md`
- **PDF Version**: `https://callforpaper.org/cfp/malta-2025-aaai-2025-workshop-multi-agent-reinforcement-learning-for-transportation-autonomy_2195.pdf`



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## 🎓 Academic Citations &amp; Bibliographic Records

Use these pre-formatted snippets to cite this Call for Papers in publications or reference managers:

### Plain Text
```text
MALTA 2025 : AAAI-2025 Workshop: Multi-Agent Reinforcement Learning for Transportation Autonomy. Panama, March 03, 2025. Available at: https://callforpaper.org/cfp/malta-2025-aaai-2025-workshop-multi-agent-reinforcement-learning-for-transportation-autonomy_2195. Accessed: August 1, 2026.
```

### APA Style 7th edition
```text
MALTA 2025 : AAAI-2025 Workshop: Multi-Agent Reinforcement Learning for Transportation Autonomy. (2025, March 03). Panama. https://callforpaper.org/cfp/malta-2025-aaai-2025-workshop-multi-agent-reinforcement-learning-for-transportation-autonomy_2195
```

### IEEE
```text
&quot;MALTA 2025 : AAAI-2025 Workshop: Multi-Agent Reinforcement Learning for Transportation Autonomy,&quot; Panama, Mar. 03, 2025. [Online]. Available: https://callforpaper.org/cfp/malta-2025-aaai-2025-workshop-multi-agent-reinforcement-learning-for-transportation-autonomy_2195. [Accessed: August 1, 2026].
```

### BibTeX
```bibtex
@misc{malta20252025cfp,
  title     = {MALTA 2025 : AAAI-2025 Workshop: Multi-Agent Reinforcement Learning for Transportation Autonomy},
  year      = {2025},
  month     = mar,
  address   = {Panama},
  url       = {https://callforpaper.org/cfp/malta-2025-aaai-2025-workshop-multi-agent-reinforcement-learning-for-transportation-autonomy_2195},
  note      = {Call for Papers. Accessed: 2026-08-01}
}
```

### RIS (Reference Manager, EndNote)
```ris
TY  - CONF
TI  - MALTA 2025 : AAAI-2025 Workshop: Multi-Agent Reinforcement Learning for Transportation Autonomy
PY  - 2025
DA  - 2025/03/03
CY  - Panama
UR  - https://callforpaper.org/cfp/malta-2025-aaai-2025-workshop-multi-agent-reinforcement-learning-for-transportation-autonomy_2195
N1  - Call for Papers. Accessed: 2026-08-01
ER  -
```

