News

  • 25 February 2021: Submissions are now closed. We received 62 submissions this year!
  • 5 February 2021: The submission deadline has been extended to 24 February 2021 23:59 UTC!
  • 5 January 2021: Program Committee members added
  • 23 November 2020: ALA 2021 site launched

ALA 2021 - Workshop at AAMAS 2021

Adaptive and 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 twelfth year. Previous editions of this workshop may be found at the following urls:

The goal of this workshop is to increase awareness of 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 multi-agent systems. It aims at bringing together not only scientists from different areas of computer science (e.g. agent architectures, reinforcement learning, 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 of ongoing or completed work covering both theoretical and practical aspects of adaptive and learning agents and multi-agent systems.

This workshop will focus on all aspects of adaptive and learning agents and multi-agent systems with a particular amphasis 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 multi-agent learning
  • Reinforcement learning (single- and multi-agent)
  • Novel deep learning approaches for adaptive single- and multi-agent systems
  • Multi-objective optimisation in single- and multi-agent systems
  • Planning (single- and multi-agent)
  • Reasoning (single- and multi-agent)
  • Distributed learning
  • Adaptation and learning in dynamic environments
  • Evolution of agents in complex environments
  • Co-evolution of agents in a multi-agent setting
  • Cooperative exploration and 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 learning and adaptive agents
  • Emergent behaviour in adaptive multi-agent systems
  • Game theoretical analysis of adaptive multi-agent systems
  • Neuro-control in multi-agent systems
  • Bio-inspired multi-agent systems
  • Applications of adaptive and learning agents and multi-agent systems to real world complex systems

Extended and revised versions of papers presented at the workshop will be eligible for inclusion in a journal special issue (see below).

Important Dates

  • Submission Deadline: 10 February 2021   24 February 2021 23:59 UTC
  • Notification of acceptance: 10 March 2021   24 March 2021
  • Camera-ready copies: 24 March 2021   1 April 2021
  • Workshop: 3 - 4 May 2021

Submission Details

Papers can be submitted through EasyChair.

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 AAMAS 2021. 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, we encourage authors to also append the received reviews. This is simply a recommendation and it is optional. Authors can also include a short note or changelist they carried out on the paper. The reviews can be appended at the end of the submission file and do not count towards the page limit.

All submissions will be peer-reviewed (single-blind). Accepted work will be allocated time for poster and possibly oral presentation during the workshop. Extended versions of original papers presented at the workshop will also be eligible for inclusion in a post-proceedings journal special issue.

Journal Special Issue

We are delighted to announce that extended versions of all original contributions at ALA 2021 will be eligible for inclusion in a special issue of the Springer journal Neural Computing and Applications (Impact Factor 4.213). The deadline for submitting extended papers will be 15 September 2021.

NCA

We will post further details about the submission process and expected publication timeline here after the workshop.

Program

TBA

Accepted Papers

TBA

Invited Talks

TBA

Programe Committee

  • Athirai A. Irissappane, University of Washington, US
  • Adrian Agogino, University of California, Santa Cruz, US
  • Raphael Avalos, Vrije Universiteit Brussel, BE
  • Reinaldo Bianchi, FEI University Center, BR
  • Daan Bloembergen, Centrum Wiskunde & Informatica, NL
  • Rodrigo Bonini, Federal University of ABC, BR
  • Roland Bouffanais, University of Ottawa, CA
  • Vinicius Carvalho, University of São Paulo, BR
  • Raphael Cobe, Advanced Institute for AI, BR
  • Esther Colombini, University of Campinas, BR
  • Anna Costa, University of São Paulo, BR
  • Richard Dazeley, Deakin University, AU
  • Mathijs De Weerdt, Delft University of Technology, NL
  • Yunshu Du, Washington State University, US
  • Elias Fernández Domingos, Vrije Universiteit Brussel, BE
  • Cameron Foale, c.foale@federation.edu.au, AU
  • Julian Garcia, Monash University, AU
  • Ruben Glatt, Lawrence Livermore National Lab, US
  • Josiah Hanna, University of Edinburgh, UK
  • Brent Harrison, Georgia Institute of Technology, US
  • Daniel Hernandez, University of York, UK
  • Pablo Hernandez-Leal, Borealis AI, CA
  • Michael Kaisers, Centrum Wiskunde & Informatica, NL
  • Johan Källström, Linköping University, SE
  • Mari Kawakatsu, Princeton University, US
  • Ho-fung Leung, The Chinese University of Hong Kong, HK
  • Guangliang Li, University of Amsterdam, NL
  • Pieter Libin, Vrije Universiteit Brussel, BE
  • Kleanthis Malialis, University of Cyprus, CY
  • Karl Mason, Cardiff University, UK
  • Ramona Merhej, INESC-ID and IST, University of Lisbon, PT
  • Arno Moonens, Vrije Universiteit Brussel, BE
  • Frans Oliehoek, Delft University of Technology, NL
  • Bei Peng, University of Oxford, UK
  • Hélène Plisnier, Vrije Universiteit Brussel, BE
  • Gabriel Ramos, Universidade do Vale do Rio dos Sinos, BR
  • Giorgia Ramponi, Politecnico di Milano, IT
  • Mathieu Reymond, Vrije Universiteit Brussel, BE
  • Golden Rockefeller, Oregon State University, US
  • Francisco Santos, Universidade de Lisboa, PT
  • Yash Satsangi, Tilburg University, NL
  • Jivko Sinapov, Tufts University, US
  • Ibrahim Sobh, Valeo, EG
  • Denis Steckelmacher, Vrije Universiteit Brussel, BE
  • Paolo Turrini, University of Warwick, UK
  • Peter Vamplew, Federation University Australia, AU
  • Miguel Vasco, INESC-ID and IST, University of Lisbon, PT
  • Vitor Vasconcelos, University of Amsterdam & Princeton University, NL/US
  • Timothy Verstraeten, Vrije Universiteit Brussel, BE
  • Baoxiang Wang, The Chinese University of Hong Kong, HK
  • Marco Wiering, University of Groningen, NL
  • Connor Yates, Oregon State University, US
  • Changxi Zhu, South China University of Technology, CN
  • Luisa Zintgraf, University of Oxford, UK

Organization

This year's workshop is organised by: Senior Steering Committee Members:
  • Enda Howley (National University of Ireland Galway, IE)
  • Daniel Kudenko (University of York, UK)
  • Patrick Mannion (National University of Ireland Galway, IE)
  • Ann Nowé (Vrije Universiteit Brussel, BE)
  • Sandip Sen (University of Tulsa, US)
  • Peter Stone (University of Texas at Austin, US)
  • Matthew Taylor (Washington State University, US)
  • 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.2021 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