Accepted Papers

Converging to Stability in Two-Sided Bandits: The Case of Unknown Preferences on Both Sides of a Matching Market*

Gaurab Pokharel, Sanmay Das

Best Paper

Two-Player Zero-Sum Differential Games with One-Sided Information*

Mukesh Ghimire, Zhe Xu, Yi Ren

Best Paper

Mean-Field Sampling for Cooperative Multi-Agent Reinforcement Learning*

Emile Timothy Anand, Ishani Karmarkar, Guannan Qu

Best Paper

Robust Policy Design in Agent-Based Simulators using Adversarial Reinforcement Learning*

Akash Agrawal, Joel Dyer, Aldo Glielmo, Michael J. Wooldridge

Best Paper

LLM-Powered Decentralized Generative Agents with Adaptive Hierarchical Knowledge Graph for Cooperative Planning*

Hanqing Yang, Jingdi Chen, Marie Siew, Tania Lorido Botran, Carlee Joe-Wong

Unraveling Complex Sequential Social Dilemmas: In a Risky World with A2C Decision Transformer

Ashish Panchal, Vandith Pamuru

TradingAgents: Multi-Agents LLM Financial Trading Framework*

Yijia Xiao, Edward Sun, Di Luo, Wei Wang

Multi-modal Contrastive Training For Robust VQA

Mitra Tajrobehkar

Multi-Agent Decision S4: Leveraging State Space Models for Offline Multi-Agent Reinforcement Learning

Ashmita Bhattacharya, Malyaban Bal

Learning Multi-Agent Multi-Machine Tending by Mobile Robots*

Abdalwhab Abdalwhab, Giovanni Beltrame, Samira Ebrahimi Kahou, David St-Onge

Improving Real-World Applicability of Networked Mean-Field Games using Function Approximation and Empirical Mean-Field Estimation*

Patrick Benjamin, Alessandro Abate

Multi-Agent Collaboration in Incident Response with Large Language Models*

Zefang Liu

The First International Maritime Capture the Flag Competition: Lessons Learned and Future Directions*

Prithviraj Dasgupta, John Kliem, Zachary Serlin, Michael Novitzky, Jordan Beason, Tyler Errico, Michael Benjamin, Tyler Paine, Peter Crowley, Simon Mark Lucas, James Chao, Wiktor Mateusz Piotrowski, Gautham Dixit, Matthew Leprell, Jeffrey Richley, Christopher Tucker, Abdullah Alamar, Katsuki Ohto, John Meo

GitTemporalAI: Leveraging Temporal Knowledge Graphs and LLMs for Multi-Agent Repository Intelligence

Dongsheng Luo, Raju Rangaswami, Amir Rahmati, Erez Zadok

Aligning Compound AI Systems via System-level DPO*

Xiangwen Wang, Yibo Jacky Zhang, Zhoujie Ding, Katherine Tsai, Sanmi Koyejo

Learning Robust Policies via Interpretable Hamilton-Jacobi Reachability-Guided Disturbances*

Hanyang Hu, Xilun Zhang, Xubo Lyu, Mo Chen

Accelerating Manufacturing Scale-Up from Material Discovery Using Agentic Web Navigation and Retrieval-Augmented AI for Process Engineering Schematics Design

Sagar Srinivas Sakhinana, Akash Das, Shivam Gupta, Venkataramana Runkana

Scaling Multi-Agent RL through Mean Field Games and Incremental Learning*

Max Balsells, Aleix Segui Ugalde, Artur Żółkowski

Multi-Agent Reinforcement Learning with Long-Term Performance Objectives for Service Workforce Optimization*

Kareem Eissa, Rayal Prasad, Sarith Mohan, Ankur Kapoor, Dorin Comaniciu, Vivek Kumar Singh