ALA 2026

ALA aims to foster collaboration, highlight recent advances, and provide a representative overview of current research on adaptive and learning agents. It serves as an inclusive forum for discussing both theoretical foundations and practical applications, spanning topics such as learning and adaptation in dynamic or open-ended environments, coordination and communication among multiple agents, incentive and mechanism design, and the emergence of collective behaviour in complex systems.

The workshop places particular emphasis on emerging learning paradigms and on methods that enable agents to operate reliably in large-scale, uncertain, or evolving environments. We encourage work that extends established techniques or introduces new frameworks to address the challenges of real-world adaptive and multi-agent systems. Topics of interest include, but are not limited to:

• Reinforcement learning (single- and multi-agent)
• Representation learning for single- and multi-agent systems
• Adaptation in dynamic environments
• Foundation models for adaptive (multi-)agent systems
• Multi-objective optimisation in single- and multi-agent systems
• Model-based RL and planning with learned world models (single- and multi-agent)
• Batch and offline (multi-agent) reinforcement learning
• Integrating learning with symbolic or game-theoretic reasoning
• Game theoretical analysis of adaptive multi-agent systems
• Neurosymbolic and logical reasoning for (multi-agent) decision-making
• Safety, robustness, and trustworthy (multi-agent) reinforcement learning
• Decentralized, federated, and communication-aware multi-agent learning
• Evolutionary and open-ended learning in multi-agent populations
• Co-evolution of agents in a multi-agent setting
• Cooperative exploration and learning to cooperate and collaborate
• Learning and modelling trust, reputation, and social norms in human–AI and multi-agent systems
• Emergent behaviour in adaptive multi-agent systems
• Multi-agent reinforcement learning and control for cyber-physical systems and robotics
• Self-organizing, swarm, and bio-inspired adaptive multi-agent systems
• Human-in-the-loop learning systems
• Applications of adaptive and learning agents and multi-agent systems to real world complex systems

Important Dates (23:59 AoE)

• Submission Deadline: 4 February 2026 26 February 2026
• Notification of acceptance: 20 March 2026 26 March 2026
• Camera-ready copies: 15 April 2026
• Workshop: 25 - 26 May 2026

Submission Details

Papers can be submitted through OpenReview.

We invite submission of original work, up to 8 pages in length (excluding references) in the ACM proceedings format (i.e., following the AAMAS formatting instructions ). This includes work that has been accepted only as a poster or extended abstract at AAMAS 2026, but not as an oral presentation. Additionally, we welcome submission of preliminary results, i.e. work-in-progress, as well as visionary outlook papers that lay out directions for future research in a specific area, both up to 6 pages in length, although shorter papers are very much welcome, and will not be judged differently. Finally, we also accept recently published journal papers in the form of a 2 page abstract.

Furthermore, for submissions that were rejected or accepted as extended abstracts at AAMAS, authors need to also append the received reviews and a pdfdiff.

All submissions will be peer-reviewed (double-blind). Accepted work will be allocated time for poster and possibly oral presentation during the workshop. In line with AAMAS, the workshop will be in person.

When preparing your submission for ALA 2026, please be sure to remove the AAMAS copyright block, citation information and running headers. Please replace the AAMAS copyright block in the main.tex file from the AAMAS template with the following:

    \setcopyright{none}
    \acmConference[ALA '26]%
    {Proc.\@ of the Adaptive and Learning Agents Workshop (ALA 2026)}%
    {May 25 -- 26, 2026}%
    {Paphos, Cyprus, https://alaworkshop2026.github.io/}%
    {Aydeniz, Delgrange, Mohammedalamen, Yang (eds.)}%
    \copyrightyear{2026}
    \acmYear{2026}
    \acmDOI{}
    \acmPrice{}
    \acmISBN{}
    \settopmatter{printacmref=false}
                            

When submitting your paper, you will have the option to provide supplementary material (e.g., code, data, videos). In the case your submission contains an appendix, we encourage the authors to include it at the end of the main paper, after the references, so that reviewers can access it easily.

Program

All times are presented in Paphos local time (EEST, UTC+3).

Monday May 25

Tuesday May 26

Previous Editions

This workshop is a continuation of the long running AAMAS series of workshops on adaptive agents, now in its eighteenth year. Previous editions of this workshop may be found at the following urls:

• ALA-25
• ALA-24
• ALA-23
• ALA-22
• ALA-21
• ALA-20
• ALA-19
• ALA-16
• ALA-15
• ALA-12

Program Committee

Organization

• A. Alp Aydeniz (Oregon State University, US)
• Montaser Mohammedalamen (University of Alberta, CA)
• Xue Yang (University of Galway, IE)
• Florent Delgrange (Vrije Universiteit Brussel, BE)

• Enda Howley (University of Galway, IE)
• Daniel Kudenko (Leibniz University Hannover, DE)
• Patrick Mannion (University of Galway, IE)
• Ann Nowé (Vrije Universiteit Brussel, BE)
• Sandip Sen (University of Tulsa, US)
• Peter Stone (University of Texas at Austin, US)
• Matthew Taylor (University of Alberta, CA)
• Kagan Tumer (Oregon State University, US)
• Karl Tuyls (University of Liverpool, UK)

Contact

If you have any questions about the ALA workshop, please contact the organizers at:
ala.workshop.aamas AT gmail.com

For more general news, discussion, collaboration and networking opportunities with others interested in Adaptive Learning Agents then please join our Linkedin Group

• © Adaptive Learning Agents Workshop 2026. All rights reserved.
• Design: HTML5 UP
• Icons made by Freepik from www.flaticon.com are licensed by CC 3.0 BY