Skip to main content
Book cover
  • Conference proceedings
  • © 2012

Adaptive and Learning Agents

AAMAS 2011 International Workshop, ALA 2011, Taipei, Taiwan, May 2, 2011, Revised Selected Papers

Editors:

  1. Peter Vrancx

    1. AI& Computational Modeling Lab, Vrije Universiteit Brussel, Brussel, Belgium

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Matthew Knudson

    1. NASA Ames Research Park, Carnegie Mellon University, Moffet Field, USA

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  3. Marek Grześ

    1. School of Computer Science, University of Waterloo, Waterloo, Canada

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • Fast-track conference proceedings

  • State-of-the-art research

  • Up-to-date results

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 7113)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Conference series link(s): ALA: International Workshop on Adaptive and Learning Agents

Conference proceedings info: ALA 2011.

Sections

eBook USD 44.99
Price excludes VAT (USA)
  • ISBN: 978-3-642-28499-1
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 59.99
Price excludes VAT (USA)
Learn about institutional subscriptions

This is a preview of subscription content, access via your institution.

Table of contents (8 papers)

  1. Front Matter

    PDF

  2. Invited Contribution

    1. Co-learning Segmentation in Marketplaces

      • Edward Robinson, Peter McBurney, Xin Yao
      Pages 1-20

  3. Workshop Contributions

    1. Reinforcement Learning Transfer via Common Subspaces

      • Haitham Bou Ammar, Matthew E. Taylor
      Pages 21-36

    3. Multi-agent Reinforcement Learning for Simulating Pedestrian Navigation

      • Francisco Martinez-Gil, Miguel Lozano, Fernando Fernández
      Pages 54-69

    6. Heterogeneous Populations of Learning Agents in the Minority Game

      • David Catteeuw, Bernard Manderick
      Pages 100-113

    7. Solving Sparse Delayed Coordination Problems in Multi-Agent Reinforcement Learning

      • Yann-Michaël De Hauwere, Peter Vrancx, Ann Nowé
      Pages 114-133

  4. Back Matter

    PDF
Back to top

Other Volumes

  1. Adaptive and Learning Agents

Back to top

About this book

This volume constitutes the thoroughly refereed post-conference proceedings of the International Workshop on Adaptive and Learning Agents, ALA 2011, held at the 10th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2011, in Taipei, Taiwan, in May 2011. The 7 revised full papers presented together with 1 invited talk were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on single and multi-agent reinforcement learning, supervised multiagent learning, adaptation and learning in dynamic environments, learning trust and reputation, minority games and agent coordination.
Back to top

Keywords

  • agreement technologies
  • distributed stateless learning
  • pedestrian simulation
  • state generalization
  • transfer learning
  • algorithm analysis and problem complexity
Back to top

Editors and Affiliations

  • AI& Computational Modeling Lab, Vrije Universiteit Brussel, Brussel, Belgium

    Peter Vrancx

  • NASA Ames Research Park, Carnegie Mellon University, Moffet Field, USA

    Matthew Knudson

  • School of Computer Science, University of Waterloo, Waterloo, Canada

    Marek Grześ

Back to top

Bibliographic Information

Back to top
Access via your institution
eBook USD 44.99
Price excludes VAT (USA)
  • ISBN: 978-3-642-28499-1
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 59.99
Price excludes VAT (USA)
Learn about institutional subscriptions