Extended Deadline for ALA Workshop at AAMAS 2025

Extended submission deadline for the Adaptive and Learning Agents workshop at AAMAS 2025 in Detroit, USA. Focus on learning and adaptation in multi-agent systems, with topics including reinforcement learning, deep learning, and bio-inspired control.

Dear all,

Upon requests and the overlap with the AAAi conference and the new RLC submission deadline, we are extending the submission deadline for the Adaptive and Learning Agents workshop at the International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2025) in Detroit, USA. Please find the Call for Papers below.

Adaptive and Learning Agents Workshop at AAMAS (Detroit, USA)

• Submission deadline: February 25, 2025 -> march 1, 2025
• notification of acceptance: march 10, 2025 -> april 2, 2025
• camera-ready copies: march 30, 2025 -> april 16, 2025
• workshop: may 19 & 20, 2025

The workshop will focus on agents and multi-agent systems which employ learning or adaptation, covering all aspects of adaptive and learning agents and multi-agent systems research. We particularly encourage work that modifies established learning techniques and/or creates new learning paradigms to address the many challenges presented by complex real-world problems.

Topics of interest include (but are not limited to):

• novel combinations of reinforcement and supervised learning approaches
• integrated learning approaches using reasoning modules like negotiation, trust, coordination, etc.
• supervised and semi-supervised multi-agent learning
• reinforcement learning in multi-agent systems
• novel deep learning approaches for adaptive single single and multi-agent systems
• human-in-the loop learning systems
• planning and reasoning (single and multi-agent)
• distributed learning
• adaptation and learning in dynamic environments
• evolution and co-evolution of agents in complex multi-agent environments
• cooperative exploration
• learning to cooperate and collaborate
• learning trust and reputation
• communication restrictions and their impact on multi-agent coordination
• design of reward structure and fitness measures for coordination
• scaling learning techniques to large systems of agents
• emergent behavior in adaptive multi-agent systems
• game theoretical analysis of adaptive multi-agent systems
• neuro-control for adaptation in multi-agent systems
• bio-inspired multi-agent systems
• adaptive and learning agents for multi-objective decision-making
• multiple objectives in (multi-)agent systems
• applications of adaptive and learning (multi-agent) systems to model real-world complex systems

Submissions can be made 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).

We look forward to receiving your submissions,

The Organizers

Raphael Avalos (Vrije Universiteit Brussel)
A. Alp Aydeniz (Oregon State University)
Henrik Müller (Leibniz University Hannover)
Montaser Mohammedalamen (University of Alberta)

Tags: Adaptive and Learning Agents, AAMAS 2025, Detroit, Submission Deadline, Multi-Agent Systems, Reinforcement Learning, Deep Learning