9 & 10 May 2020, Auckland
- 5 February 2020: The submission deadline has been extended to 24 February 2020 23:59 UTC!
- 4 February 2020: Program Committee members added
- 21 January 2020: We recommend authors to also append reviews received for AAMAS submissions
- 21 November 2019: ALA 2020 site launched
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:
- Earlier editions
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).
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 2020. 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 2020 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 2020.
We will post further details about the submission process and expected publication timeline here after the workshop.
To be confirmed.
To be confirmed.
- Adrian Agogino, University of California, Santa Cruz, US
- Anna Costa, University of São Paulo, BR
- Baoxiang Wang, The Chinese University of Hong Kong, HK
- Bilal Kartal, Borealis AI, CA
- Brent Harrison, Georgia Institute of Technology, USA
- Conor Hayes, National University of Ireland Galway, IE
- Craig Sherstan, University of Alberta, CA
- Daan Bloembergen, Centrum Wiskunde & Informatica, NL
- Daniel Hernandez, University of York, UK
- Denis Steckelmacher, Vrije Universiteit Brussel, BE
- Diederik Roijers, Vrije Universiteit Amsterdam, NE
- Elias Fernandez, Vrije Universiteit Brussel, BE
- Esther Colombini, University of Campinas, BR
- Faraz Torabi, University of Texas at Austin, USA
- Flávio Pinheiro, NOVA IMS, Universidade Nova de Lisboa, PT
- Francisco Santos, Universidade de Lisboa, PT
- Gabriel Ramos, Universidade do Vale do Rio dos Sinos, BR
- Hélène Plisnier, Vrije Universiteit Brussel, BE
- Ibrahim Sobh, Valeo, EG
- Jen Jen Chung, Eidgenössische Technische Hochschule Zürich, CH
- Jivko Sinapov, Tufts University, USA
- Josiah Hanna, University of Edinburgh, UK
- Julian Garcia, Monash University, AU
- Karl Mason, Cardiff University, UK
- Kleanthis Malialis, University of Cyprus, CY
- Kyriakos Efthymiadis, Vrije Universiteit Brussel, BE
- Luisa Zintgraf, University of Oxford, UK
- Mari Kawakatsu, Princeton University, USA
- Martin Repicky, National University of Ireland Galway, IE
- Miguel Vasco, INESC-ID and IST, University of Lisbon, PT
- Pablo Hernandez-Leal, Borealis AI, CA
- Paolo Turrini, University of Warwick, UK
- Peter Vamplew, Federation University Australia, AU
- Pieter Liblin, Vrije Universiteit Brussel, BE
- Ramona Merhej, INESC-ID and IST, University of Lisbon, PT
- Raphael Cobe, Advanced Institute for AI, BR
- Rodrigo Bonini, Federal University of ABC, BR
- Roland Bouffanais, Singapore University of Technology and Design, SG
- Ruben Glatt, Lawrence Livermore National Lab, US
- Rui Silva, Carnegie Mellon University and Instituto Superior Técnico, USA/PT
- Samuel Cho, Princeton University, USA
- Shangtong Zhang, University of Oxford, UK
- Thomas Moerland, Delft University of Technology, NE
- Timothy Verstraeten, Vrije Universiteit Brussel, BE
- Vinicius Carvalho, University of São Paulo, BR
- Vitor Vasconcelos, Princeton University, USA
- Wolfram Barfuss, Max-Planck-Institute for Mathematics in the Sciences, GE
- Yunshu Du, Washington State University, USA
OrganizationThis year's workshop is organised by:
- Patrick MacAlpine (Microsoft Research, USA)
- Fernando P. Santos (Princeton University, USA)
- Felipe Leno da Silva (Advanced Institute for AI, BR)
- Roxana Rădulescu (Vrije Universiteit Brussel, BE)
- 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, 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)
The ALA 2020 Best Paper Award is kindly sponsored by the Springer journal Neural Computing and Applications.