ΑΙhub.org
 

Congratulations to the #AAMAS2026 best paper award winners


by
05 June 2026



share this:
winners' medal

The AAMAS 2026 best paper awards were presented at the 25th International Conference on Autonomous Agents and Multiagent Systems, which took place from 25-29 May 2025 in Paphos, Cyprus. The winners and nominees in the three categories (best paper, best student paper, best blue sky paper) are as follows:


Best Paper Award

Winner

  • Developing Guidelines for Human-LLM Agent Teams: A Multi-Stakeholder Lens, Mireia Yurrita, Davide Dell’Anna, Pradeep K. Murukannaiah, Catholijn M Jonker, and Pinar Yolum

Nominees

  • UNCAP: Uncertainty-Guided Neurosymbolic Planning Using Natural Language Communication for Cooperative Autonomous Vehicles, Neel P. Bhatt, Po-han Li, Kushagra Gupta, Rohan Siva, Daniel Milan, Alexander Todd Hogue, Sandeep P. Chinchali, David Fridovich-Keil, Zhangyang Wang, and Ufuk Topcu
  • Ratio-Based Signaling for Source-Victim Separation in Swarm Fault Detection, Longyin Cui
  • The Impossibility of Strategyproof Rank Aggregation, Manuel Eberl and Patrick Lederer
  • Generalized Per-Agent Advantage Estimation for Multi-Agent Policy Optimization, Seongmin Kim, Giseung Park, Woojun Kim, Jiwon Jeon, Seungyul Han, and Youngchul Sung
  • R-Debater: Retrieval-Augmented Debate Generation through Argumentative Memory, Maoyuan Li, Zhongsheng Wang, Haoyuan Li, and Jiamou Liu
  • Defection at First Sight: Learning Partner Selection in Optional Social Dilemmas without Prior Information, Benedict Russell, Chin-wing Leung, and Paolo Turrini
  • Characterizing Consensuses in Belief Flow Networks, Nicolas Schwind, Gauvain Bourgne, and Katsumi Inoue
  • Grassroots Federation: Fair Democratic Governance at Scale, Nimrod Talmon and Ehud Shapiro
  • Health Facility Location in Ethiopia: Leveraging LLMs to Integrate Expert Knowledge into Algorithmic Planning, Yohai Trabelsi, Guojun Xiong, Fentabil Getnet, Stéphane Verguet, and Milind Tambe
  • MeCo: Enhancing LLM-Empowered Multi-Robot Collaboration via Similar Task Memoization, Baiqing Wang, Helei Cui, Bo Zhang, Xiaolong Zheng, Bin Guo, and Zhiwen Yu

Pragnesh Jay Modi Best Student Paper Award

Winner

  • Planning Ahead with RSA: Efficient Signalling in Dynamic Environments by Projecting User Awareness across Future Timesteps, Anwesha Das, John Duff, Jörg Hoffmann, and Vera Demberg

Nominees

  • Efficiently Computing Equilibria in Budget-Aggregation Games, Patrick Becker, Alexander Fries, Matthias Greger, and Erel Segal-Halevi
  • Building Large-Scale Drone Defenses from Small-Team Strategies, Grant Douglas, Stephen Franklin, Claudia Szabo, and Mingyu Guo
  • Robust Counterfactual Inference in Markov Decision Processes, Jessica Lally, Milad Kazemi, and Nicola Paoletti
  • Flow-Based Task Assignment for Large-Scale Online Multi-Agent Pickup and Delivery, Yue Zhang, Zhe Chen, Daniel Harabor, Pierre Le Bodic, and Peter J. Stuckey
  • Reputation as a Solution to Cooperation Collapse in LLM-based MASs, Siyue Ren, Wanli Fu, Xinkun Zou, Chen Shen, Yi Cai, Chu Chen, Zhen Wang, and Shuyue Hu

Blue Sky Ideas Award

Winner

  • Foundation World Models for Agents that Learn, Verify, and Adapt Reliably Beyond Static Environments, Florent Delgrange

Nominees

  • Guiding Sociotechnical Systems toward Value-Norm Equilibrium, Nirav Ajmeri, Marina De Vos, Davide Dell’Anna, Pradeep K. Murukannaiah, Vivek Nallur, Luis Gustavo Nardin, and Munindar P. Singh
  • The Dynamic Turn in Strategy Logics, Rustam Galimullin, Maksim Gladyshev, Munyque Mittelmann, and Nima Motamed



tags: , ,


Lucy Smith is Senior Managing Editor for AIhub.
Lucy Smith is Senior Managing Editor for AIhub.

            AUAI is supported by:



Subscribe to AIhub newsletter on substack



Related posts :

Interview with Minji Park: humans in the loop to keep language models up to date

  06 Nov 2026
Human-AI co-inference through a shared editable state.

AI plus chemistry can expand battery electrolyte design

  05 Nov 2026
Researchers are using artificial intelligence to speed the search for better battery materials.
coffee corner

AIhub coffee corner: Are humanoids the future of embodied AI?

  04 Nov 2026
The AIhub coffee corner captures the musings of AI experts over a short conversation.

“With AI, we need to reconsider what it means to learn”

  03 Nov 2026
Artificial intelligence is forcing universities to reinvent how they teach and assess students’ knowledge.

Forthcoming machine learning and AI seminars: November 2026 edition

  02 Nov 2026
A list of free-to-attend AI-related seminars that are scheduled to take place in the next couple of months.
monthly digest

AIhub monthly digest: October 2026 – neurosymbolic planning, time-series forecasting, and robots for the home

  30 Oct 2026
Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.
AI pioneers

From teaching machines to teaching people: an interview with Michael Littman

  29 Oct 2026
AI Pioneer Michael Littman reflects on the evolution of reinforcement learning, the power of science communication, and how generative AI is changing the way we teach and learn.

From lab to life: Why translating AI advances to the real world is a major challenge

  28 Oct 2026
Systems that perform well in controlled lab settings often fall short when deployed in homes, in hospitals or on city streets.


↑


AUAI is supported by:







Subscribe to AIhub newsletter on substack




 















©2026.05 - Association for the Understanding of Artificial Intelligence