The deadline for all submissions has been extended to December 3rd (Anywhere on Earth)!

Submission link: https://openreview.net/group?id=AAAI.org/2025/Workshop/MARW#tab-recent-activity

We have the following tracks at the AAAI Workshop on MARW:

• TRACK 1: Short Research Paper Track of 4 pages

• TRACK 2: Long Research Paper Track of 8 pages

• TRACK 3: Special Research Paper Track for Multimodal Agents in the Real World for 4-8 pages

• TRACK 4: Survey Paper Track of 4-8 pages

The 3 research tracks cover papers on learning algorithms, evaluation, explainability, and benchmarks of collaborating AI Agents with humans or other AI agents and competing AI Agents with other AI Agents. The survey paper track is aimed at grounding knowledge in AI Agents. Accepted survey papers will be consolidated by the academic-research industry coalition of AI Agents researchers for a joint survey paper submission to JMLR. Further details and workshop track announcements will be available at https://sites.google.com/view/marw-ai-agents.

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. 

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:

1. Multi-Agent Deep Reinforcement Learning 

2. Multi-Agent Imitation Learning

3. Multi-Agent Meta Learning

4. Multi-Agent Self-Supervised Learning

5. Multi-Agent Semi-Supervised Learning

6. Game Theory

7. Computational Social Choice

8. Multi-Task Learning

9. Goal-Conditioned Learning  

10. Transfer Learning

11. Continual Learning and Open-Ended Learning

12. Curriculum Learning

13. Theoretical Research on AI Agents for real world deployment 

14. Any other ML/GT/OR agentic paradigms

Research papers at this AAAI workshop can highlight AI Agents research in real-world applications like:

1. Robotics 

2. Augmented Reality

3. Self-Driving Cars

4. Fitness 

5. Web Agents

6. Supply Chain Orchestration

7. Climate Conservation

8. Recommender Systems

9. E-Commerce and Advertising

10. Any other Agentic Applications in the real world