Call for Papers – MARW: Multi-Agent AI in the Real-World Workshop @ AAAI-25
The MARW: Multi-Agent AI in the Real-World Workshop @ AAAI-25 invites paper submissions on Multi-Agent AI research in real-world applications. The workshop is non-archival and will be held in Philadelphia, Pennsylvania, USA on March 3rd, 2025. At least one author from each accepted paper is expected to attend. There will be best paper awards in each track. Submit your paper by November 25th, 2024 and become a reviewer to get recognition.
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, USA. 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. The workshop is non-archival, so feel free to submit papers that will be submitted to other conferences.
The focus of this AAAI workshop is to highlight evolving AI Agents research based on 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, and more. Research papers will be posted on the website, and at least one author from each accepted paper is expected to attend. Accepted papers will be consolidated by the academic-research 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. There will be best reviewer awards and recognition. If you would like to volunteer as a Reviewer, please fill up the Google form. AI Agents Resources and Reading Group: https://go.umd.edu/marl. If you have any questions, please email marw.ai.agents.workshop at gmail.com.
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