Original full papers
Up to 8 pages in length (excluding references) in ACM proceedings format, including work accepted as poster or extended abstract at AAMAS 2026 but not as oral presentation.
Machine Learning/CORE Unranked
ALA 2026
The Eighteenth Workshop on Adaptive and Learning Agents
ALA 2026 is a workshop held in conjunction with AAMAS 2026 in Paphos, Cyprus, bringing together researchers to discuss adaptive and learning agents in single- and multi-agent systems. It fosters collaboration across computer science and related fields by showcasing theoretical and practical advances in learning, adaptation, coordination, and emergent behavior in complex environments.
Key deadlines
Verified September 9, 2026Full paper
February 27, 2026
AoE
Workshop timeline
Submission and decisions
Full paperKey deadline
February 27, 2026 · AoE
Paper fit
Contribution paths
A strong submission should clearly identify its contribution and evaluate it appropriately.
Preliminary results / work-in-progress
Up to 6 pages in length, welcoming early-stage or visionary research; shorter papers are encouraged and judged equally.
Journal paper abstracts
2-page abstracts of recently published journal papers are accepted for submission.
Research areas in scope
01
Learning and Adaptation
Reinforcement learning (single- and multi-agent)Supervised and semi-supervised multi-agent learningRepresentation learning for single- and multi-agent systemsAdaptation in dynamic environmentsFoundation models for adaptive (multi-)agent systemsDeep learning approaches for adaptive single- and multi-agent systemsBatch and offline (multi-agent) reinforcement learningEvolutionary and open-ended learning in multi-agent populationsCo-evolution of agents in a multi-agent settingCooperative exploration and learning to cooperate and collaborateContinual reinforcement learningSelf-organizing, swarm, and bio-inspired adaptive multi-agent systemsHuman-in-the-loop learning systems
02
Reasoning and Planning
Planning (single- and multi-agent)Reasoning (single- and multi-agent)Model-based RL and planning with learned world models (single- and multi-agent)Integrating learning with symbolic or game-theoretic reasoningNeurosymbolic and logical reasoning for (multi-agent) decision-makingNeuro-Symbolic Planning under Uncertainty in Unknown ModelsSafeAdapt: Provably Safe Policy Updates in Deep Reinforcement LearningSafe and Generalizable Reinforcement Learning via Logical Policy Composition
03
Multi-Agent Systems and Coordination
Multi-objective optimisation in single- and multi-agent systemsGame theoretical analysis of adaptive multi-agent systemsDistributed learningDecentralized, federated, and communication-aware multi-agent learningLearning trust and reputationLearning and modelling trust, reputation, and social norms in human–AI and multi-agent systemsCommunication restrictions and their impact on multi-agent coordinationDesign of reward structure and fitness measures for coordinationEmergent communication, information constraints, and their impact on multi-agent coordinationScaling learning techniques to large systems of learning and adaptive agentsEmergent behaviour in adaptive multi-agent systemsMulti-agent reinforcement learning and control for cyber-physical systems and roboticsSocial norm dynamics in a behavioral epidemic modelFairness in Cooperative Multiagent Multiobjective Reinforcement LearningLearning Fair Pareto-Optimal Policies in Multi-Objective Reinforcement Learning
04
Applications and Emerging Paradigms
Novel combinations of reinforcement and supervised learning approachesIntegrated learning approaches using reasoning modules like negotiation, trust, coordination, etc.Applications of adaptive and learning agents and multi-agent systems to real world complex systemsBio-inspired multi-agent systemsNeuro-control in multi-agent systemsExtended and revised versions of papers presented at the workshop will be eligible for inclusion in a journal special issueVisionary outlook papers that lay out directions for future researchWork-in-progress submissionsRecently published journal papers in the form of a 2 page abstract
Policies worth checking twice
- All submissions are peer-reviewed using a double-blind process.
- Papers must be up to 8 pages (excluding references) in ACM AAMAS formatting.
- Preliminary and visionary papers may be up to 6 pages.
- Journal paper submissions must be 2-page abstracts.
- Authors must remove AAMAS copyright block and replace it with specified \\setcopyright{none} and metadata.
- Camera-ready versions must be deanonymized and include the corrected copyright block.
- Supplementary material (code, data, videos) may be submitted alongside papers.
- Appendices should be included at the end of the main paper after references.
Official sources
Compiled from the official call for papers. The organizers’ pages remain authoritative.
Last verified September 9, 2026