• The Tutorial slides are now available for download.

  • The ALA social event will take place on Monday, May 4, 7pm at Fedora Bistro, Istiklal Cad. Bekar Sok. No:3/A.

  • The preliminary program is now available.

  • Registration is now open through the AAMAS website. Early registration deadline: March 20.

  • Deadline extension: following several requests we have decided to extend the submission deadline by one week. New (and final!) deadline is February 18th.

  • Announcement: This year we will be awarding a best paper award sponsored by the European coordination action FoCAS - Fundamentals of Collective Adaptive Systems.

  • January 5th 2014: ALA-15 site launched

ALA 2015 - Workshop at AAMAS 2015

Adaptive Learning Agents (ALA) encompasses diverse fields such as Computer Science, Software Engineering, Biology, as well as Cognitive and Social Sciences. The ALA workshop will focus on agents and multiagent systems which employ learning or adaptation.

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

The goal of this workshop is to increase awareness and interest in adaptive agent research, encourage collaboration and give a representative overview of current research in the area of adaptive and learning agents and multiagent systems. It aims at bringing together not only scientists from different areas of computer science (e.g., agent architectures, reinforcement learning, and evolutionary algorithms) but also from different fields studying similar concepts (e.g., game theory, bio-inspired control, mechanism design).

The workshop will serve as an inclusive forum for the discussion on ongoing or completed work in both theoretical and practical issues of adaptive and learning agents and multiagent systems.

This workshop will focus on all aspects of adaptive and learning agents and multiagent systems with a particular emphasis on how to modify established learning techniques and/or create new learning paradigms to address the many challenges presented by complex real-world problems. The topics of interest include but are not limited to:

  • Novel combinations of reinforcement and supervised learning approaches
  • Integrated learning approaches that work with other agent reasoning modules like negotiation, trust models, coordination, etc.
  • Supervised multiagent learning
  • Reinforcement learning (single and multiagent)
  • Planning (single and multiagent)
  • Reasoning (single and multiagent)
  • Distributed learning
  • Adaptation and learning in dynamic environments
  • Evolution of agents in complex environments
  • Co-evolution of agents in a multiagent setting
  • Cooperative exploration and learning to cooperate and collaborate
  • Learning trust and reputation
  • Communication restrictions and their impact on multiagent coordination
  • Design of reward structure and fitness measures for coordination
  • Scaling learning techniques to large systems of learning and adaptive agents
  • Emergent behaviour in adaptive multiagent systems
  • Game theoretical analysis of adaptive multiagent systems
  • Neuro-control in multiagent systems
  • Bio-inspired multiagent systems
  • Applications of adaptive and learning agents and multiagents systems to real world complex systems
  • Learning of Co-ordination

Accepted papers from the workshop will be eligible to be extended for inclusion in a special issue journal.

Important Dates

  • Submission Deadline: February 18, 2015
  • Notification of acceptance: March 10, 2015
  • Camera-ready copies: March 25, 2015
  • Early registration: March 20, 2015
  • Workshop: May 5, 2015


Please not that the program is preliminary and subject to change.

08:30 - 10:30 Welcome & Tutorial
Matthew Taylor and Tim Brys:
Speeding up Reinforcement Learning (Tutorial)
10:30 - 11:00 Coffee Break
11:00 - 12:30 Session 1 - Chair: Logan Yliniemi
11:00 - 11:30 Pablo Hernandez-Leal, Matthew E. Taylor, Enrique Munoz De Cote and L. Enrique Sucar:
Learning Against Non-Stationary Opponents in Double Auctions
11:30 - 12:00 Patrick Mannion, Jim Duggan and Enda Howley:
Parallel Learning using Heterogeneous Agents
12:00 - 12:30 Debarun Kar, Fei Fang, Francesco Delle Fave, Nicole Sintov, Arunesh Sinha, Aram Galstyan, Bo An and Milind Tambe:
Learning Bounded Rationality Models of the Adversary in Repeated Stackelberg Security Games
12:30 - 13:00 Peter Scopes and Daniel Kudenko:
Automated Mixed Resolution Tiling
13:00 - 14:00 Lunch
14:00 - 16:00 Session 2 - Chair: Mitchell Colby
14:00 - 14:30 Patrick Mannion, Jim Duggan and Enda Howley:
Learning Traffic Signal Control with Advice
14:30 - 15:00 Anna Harutyunyan, Tim Brys, Peter Vrancx and Ann Nowé:
Off-Policy Reward Shaping with Ensembles
15:00 - 15:30 Daan Bloembergen, Daniel Hennes, Simon Parsons and Karl Tuyls:
Survival of the Chartist: An Evolutionary Agent-Based Analysis of Stock Market Trading
15:30 - 16:00 Somchaya Liemhetcharat and Yicheng Luo:
Adversarial Synergy Graph Model for Predicting Game Outcomes in Human Basketball
16:00 - 16:30 Coffee Break
16:30 - 17:30 Invited speaker: Paul Scerri
Learning while planning
17:30 - 18:00 Closing remarks, community meeting, and awards

Invited Talk

Dr. Paul Scerri

The Robotics Institute

Carnegie Mellon University


Program Committee

  • Adrian Agogino, University of California Santa Cruz, USA
  • Daan Bloembergen, University of Liverpool, UK
  • Haitham Bou Ammar, University of Pennsylvania, USA
  • Tim Brys, Vrije Universiteit Brussel, Belgium
  • Bastian Bröcker, University of Liverpool, UK
  • Ipek Caliskanelli, University of Liverpool, UK
  • Jen Jen Chung, Oregon State University, USA
  • Daniel Claes, University of Liverpool, UK
  • Mitchell Colby, Oregon State University, USA
  • William Curran, Oregon State University, USA
  • Yann-Michaël De Hauwere, Vrije Universiteit Brussels, Belgium
  • Sam Devlin, University of York, UK
  • Kyriakos Efthymiadis, University of York, UK
  • Josha Fossel, University of Liverpool, UK
  • Marek Grzes, University of Waterloo, Canada
  • Anna Harutyunyan, Vrije Universiteit Brussel, Belgium
  • Daniel Hennes, European Space Agency, The Netherlands
  • Enda Howley, National University of Ireland, Ireland
  • Sepideh Kharaghani, Oregon State University, USA
  • Matt Knudson, NASA Ames Research Center, USA
  • Patrick MacAlpine, University of Texas at Austin, USA
  • Kleanthis Malialis, University of York, UK
  • Kaushik Subramanian, Georgia Institute of Technology, USA
  • Peter Vrancx, Vrije Universiteit Brussel, Belgium
  • Logan Yliniemi, Oregon State University, USA


This year's workshop is organized by:
Senior Steering Committee Members:
  • Daniel Kudenko (University of York, UK)
  • Ann Nowé (Vrije Universiteit Brussels, Belgium)
  • Sandip Sen (University of Tulsa, USA)
  • Peter Stone (University of Texas at Austin, USA)
  • Matthew Taylor (Washington State University, USA)
  • Kagan Tumer (Oregon State University, USA)
  • Karl Tuyls (University of Liverpool, UK)


If you have any questions about the ALA workshop, please contact the organizers at:
ala.workshop.2015 AT

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


The ALA 2015 best paper award is kindly sponsored by FoCAS.