This workshop will explore the challenges and opportunities of Multi-Agent Reinforcement Learning (MARL) in the context of autonomous transportation systems. It aims to address critical issues such as coordination, cooperation, scalability, and real-time decision-making among multiple autonomous agents in complex, real-world transportation environments. The workshop will cover topics including traffic optimization, fleet management, and intelligent infrastructure, bringing together experts from academia and industry to discuss the latest advancements and practical applications of MARL.

Topics
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 deep learning, game theory, and other techniques are also of interest, along with simulations, real-world deployment, urban mobility, logistics, and ride-sharing applications. Evaluation metrics, benchmarks for performance assessment, human-agent interactions, and ensuring the robustness and resilience of MARL algorithms in uncertain or adversarial environments are key areas of focus as well.

Format of Workshop
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.

Attendance
Anyone with interest in the workshop, and registered for AAAI workshops, is welcome to attend.

Submission requirements
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.

Submission Site Information
https://openreview.net/group?id=AAAI.org/2025/Workshop/MALTA

Workshop Chairs
Vaneet Aggarwal, Purdue University, vaneet@purdue.edu
Carlee Joe-Wong, CMU, cjoewong@andrew.cmu.edu
Zhiwei (Tony) Qin, Eva AI (foreva.ai), zq2107@caa.columbia.edu
Satish Ukkusuri, Purdue University, sukkusur@purdue.edu

Workshop URL
https://sites.google.com/view/malta2025

Important Dates:
Paper (full/poster/short/position) submission deadline: November 17, 2024
Author Notification: December 9, 2024
Presentation/Poster Upload: Feb 1, 2025
Workshop date: March 3, 2025