Call for Papers: MARW Workshop at AAAI-25
Learn about the MARW Workshop at AAAI-25 in Philadelphia, USA. Submit your paper on Multi-Agent AI, Machine Learning, Game Theory, and Operations Research. Share your research with the AI Agents community.
We are pleased to announce the MARW: Multi-Agent AI in the Real-World Workshop at AAAI-25 in Philadelphia, Pennsylvania, USA. If you are interested in Multi-Agent AI, we invite you to submit your paper and share it with the AI Agents community.
The focus of this workshop is to highlight evolving AI Agents research based on Machine Learning, Game Theory, and Operations Research paradigms. Some of the topics include: Multi-Agent Deep Reinforcement Learning, Multi-Agent Imitation Learning, Multi-Agent Meta Learning, Multi-Agent Semi-Supervised Learning, Game Theory, Computational Social Choice, Multi-Task Learning, Goal-Conditioned Learning, Transfer Learning, Continual Learning, Open-Ended Learning, Curriculum Learning, and Theoretical Research in AI Agents for real-world deployment.
We invite paper contributions in the following submission tracks: Short Research Paper Track (4 pages), Long Research Paper Track (8 pages), Special Research Paper Track for Multimodal Agents in the Real World (4-8 pages), and Survey Track (4-8 pages).
Accepted papers will be posted on the website and the authors will have an opportunity to showcase their research to the AI Agents community on March 3rd. At least one author from each accepted paper is expected to attend.
For more information, please visit the MARW website.
Tags: AAAI-25, MARW, Workshop, Multi-Agent AI, Machine Learning, Game Theory, Operations Research, Deep Reinforcement Learning, Imitation Learning, Meta Learning, Sem-Supervised Learning, Game Theory, Computational Social Choice, Multi-Task Learning, Goal-Conditioned Learning, Transfer Learning, Continual Learning, Curriculum Learning, Theoretical Research, AI Agents, Philadelphia, USA