CfP: Adaptive and Learning Agents Workshop (ALA) at AAMAS 2026 (Paphos, Cyprus)
Ala Workshop
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Dear all,
We are organizing the next iteration of the Adaptive and Learning Agents (ALA) workshop at the International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2026) in Paphos, Cyprus. Please find the Call for Papers below.
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Adaptive and Learning Agents Workshop at AAMAS (Paphos, Cyprus)
Submission deadline: 4 February 2026
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TL;DR:
* Workshop with a long and successful history, now in its seventeenth edition.
* Covering all aspects of adaptive and learning agents and multi-agent systems research.
* Open to original research papers, work-in-progress, and visionary outlook papers, as well as presentations on recently published journal papers.
* ACM proceedings (AAMAS) format up to 8 pages (excluding references) for original research, up to 6 pages for work-in-progress and outlook papers (shorter papers are also welcome and will not be judged differently), and 2 pages for recently published journal papers.
* Accepted papers are eligible for inclusion in a post-proceedings journal special issue.
* Submission Instructions: https://alaworkshop2026.github.io/
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IMPORTANT DATES:
* Submission Deadline: February 4, 2026
* Notification of acceptance: March 20, 2026
* Camera-ready copies: April 10, 2026
* Workshop: May 25 & 26, 2026
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OVERVIEW
Adaptive and Learning Agents (ALA) brings together researchers working on learning, adaptation, and autonomous behaviour in single- and multi-agent systems. The workshop welcomes contributions from across computer science (including reinforcement learning, agent architectures, evolutionary computation, planning, and game theory) as well as from related fields such as cognitive science, biology, economics, and the social sciences.
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
In addition to these topics, this year we are interested in exploring negative results that can serve as guidelines for early-stage researchers in the field of adaptive and learning single/multi-agent systems.
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SUBMISSION DETAILS
Papers can be submitted through OpenReview, with instructions found on the workshop website: https://alaworkshop2026.github.io/
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 as a poster/extended abstract at the AAMAS 2026 conference. 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.
All submissions will be peer-reviewed (double-blind). Accepted work will be allocated time for poster and possibly oral presentation during the workshop.
We look forward to receiving your submissions,
- The Organizers
A. Alp Aydeniz (Oregon State University)
Florent Delgrange (Vrije Universiteit Brussel)
Montaser Mohammedalamen (University of Alberta)
Xue Yang (University of Galway)