DEADLINE EXTENSION of AAAI-25 - MARW: Multi-Agent AI in the Real-World Workshop
Saptarashmi Bandyopadhyay
MARW DATE EXTENSION: Nov 25 2024 -> Nov 30 2024
The deadline for MARW: Multi-Agent AI in the Real-World Workshop @ AAAI-25 has been extended to Saturday, November 30 (Anywhere on Earth)!
Submit: https://openreview.net/group?id=AAAI.org/2025/Workshop/MARW
Please note submissions are non-archival, so feel free to submit your works that will be submitted to other conferences, journals, and workshops.
Find the original call for papers below for more information on this exciting opportunity to showcase your Multi-Agent Reinforcement Learning and other AI Agents research!
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We are excited to announce the first MARW: Multi-Agent AI in the Real-World Workshop at the 39th AAAI Conference on Artificial Intelligence (AAAI-25) in Philadelphia, Pennsylvania, United States. If you are interested in Multi-Agent AI, we invite you to submit your paper (short, long, special, and survey tracks) and share it with the AI Agents community.
Website: https://sites.google.com/view/marw-ai-agents
Introduction
The advent of AI Agents in real-world decision making applications has made it important to ground the knowledge of AI Agents research focusing on Human-AI and AI-AI interaction. Such AI Agents can be personalized to assist humans in day-to-day tasks and can help improve planning, reasoning, navigation with AI models, especially large models to serve many use cases and are capable of taking actions in order to perform tasks aligned to humans’ goals.
Important Dates
Paper Submission Deadline: November 25th, 2024 (Anywhere on Earth).Extended Paper Submission Deadline: November 25th, 2024 (Anywhere on Earth).
Notification to Authors: December 12th, 2024.
Date of Workshop: March 3rd, 2025.
Topics
The focus of this AAAI workshop is to highlight evolving AI Agents research based on many Machine Learning (ML), Game Theory (GT) and Operations Research (OR) paradigms such as:
Multi-Agent Deep Reinforcement Learning
Multi-Agent Imitation Learning
Multi-Agent Meta Learning
Multi-Agent Self-Supervised Learning
Multi-Agent Semi-Supervised Learning
Game Theory
Computational Social Choice
Multi-Task Learning
Goal-Conditioned Learning
Transfer Learning
Continual Learning and Open-Ended Learning
Curriculum Learning
Theoretical Research on AI Agents for real world deployment
Any other ML/GT/OR agentic paradigms
Research papers at this AAAI workshop can highlight AI Agents research in real-world applications like:
Robotics
Augmented Reality
Self-Driving Cars
Fitness
Web Agents
Supply Chain Orchestration
Climate Conservation
Recommender Systems
E-Commerce and Advertising
Any other Agentic Applications in the real world
Submission
We welcome paper contributions for the following submission tracks:
TRACK 1: Short Research Paper Track (4 pages)
TRACK 2: Long Research Paper Track (8 pages)
TRACK 3: Special Research Paper Track for Multimodal Agents in the Real World (4-8 pages)
TRACK 4: Survey Paper Track (4-8 pages)
Accepted survey papers will be consolidated by the academic-research industry coalition of AI Agents researchers for a joint survey paper submission to JMLR.
There will be best paper awards in each track.
Papers must follow AAAI-25 formatting guidelines and can be submitted to our OpenReview site https://openreview.net/group?id=AAAI.org/2025/Workshop/MARW. More details can be found on the MARW website.
MARW is non-archival, so please feel free to submit papers that will be submitted to other conferences.
Publication and Attendance
Accepted papers will be posted on the website. The authors of each accepted paper will have an opportunity to showcase their research to the AI Agents community on Monday, March 3rd. At least one author from each accepted paper is expected to attend.
Details for AAAI-25 registration can be found at https://aaai.org/conference/aaai/aaai-25/registration.
Organizing Committee
Saptarashmi Bandyopadhyay; University of Maryland, College Park (Lead Organizer and Chair)
Arundhati Banerjee; Carnegie Mellon University, Pittsburgh
Dr. Aleksandra Faust; Google DeepMind, USA
Dr. John Dickerson; Arthur AI
Dr. Thomas Goldstein; University of Maryland, College Park
Steering Committee
Dr. Luke Marris, Senior Research Engineer, Google DeepMind, London UK
Dr. Yilun Du, Research Scientist, Google DeepMind Robotics, Mountain View USA and Upcoming Assistant Professor of Computer Science at Harvard University
Dr. Micah Goldblum, Assistant Professor of Electrical Engineering at Columbia University, New York City, USA
Lavisha Aggarwal, Software Engineer, Google Augmented Reality, Seattle, USA
Matej Jusup, 5th Year PhD Candidate, Computer Science Department, ETH Zurich
John Robert Cole, MS student of Computer Science, University of Maryland, College Park USA
Program Committee
Dr. Marc Lanctot, Research Scientist, Google DeepMind, Montreal Canada
Dr. Andrea Colaco, Software Engineering Manager, Google Augmented Reality, Mountain View USA
Dr. Lin Li, Software Engineering Manager, Google Augmented Reality, Mountain View USA
Vikas Bahirwani, Software Engineer, Google Augmented Reality, Mountain View USA
Bhanu Guda, Research Engineer, Google Augmented Reality, Mountain View USA
Reviewers
If you would like to volunteer as a Reviewer in any of the above, please fill up the Google form https://docs.google.com/forms/d/e/1FAIpQLSfSVcrCnWFLhV_53XiVSIQeYhldJWAvIpEoTzNeHnWiinlAyw/viewform?usp=sf_link
There will be best reviewer awards and recognition.
AI Agents Resources and Reading Group: https://go.umd.edu/marl
Questions
If you would like to reach out to the organizers for anything related to the workshop, please email marw.ai.agents.workshop@gmail.com.
Best Regards,
Saptarashmi Bandyopadhyay
Rising 5th Year PhD Candidate of Computer Science
University of Maryland, College Park
Student Researcher Intern at Google AI AR
Website: https://sites.google.com/view/saptarashmi/about
Twitter: https://x.com/Saptarashmi