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ORCIDALA@AAMAS 2009: Budapest, Hungary
- Matthew E. Taylor, Karl Tuyls
:
Adaptive and Learning Agents, Second Workshop, ALA 2009, Held as Part of the AAMAS 2009 Conference in Budapest, Hungary, May 12, 2009, Revised Selected Papers. Lecture Notes in Computer Science 5924, Springer 2010, ISBN 978-3-642-11813-5 - Marc J. V. Ponsen, Matthew E. Taylor, Karl Tuyls:
Abstraction and Generalization in Reinforcement Learning: A Summary and Framework. 1-32 - Enda Howley, Jim Duggan:
The Effects of Evolved Sociability in a Commons Dilemma. 33-48 - Michael Kaisers, Karl Tuyls:
Replicator Dynamics for Multi-agent Learning: An Orthogonal Approach. 49-59 - Mihail Mihaylov, Karl Tuyls, Ann Nowé:
Decentralized Learning in Wireless Sensor Networks. 60-73 - Itsuki Noda:
Recursive Adaptation of Stepsize Parameter for Non-stationary Environments. 74-90 - Balázs Pintér, Ákos Bontovics, András Lörincz:
Multiagent Reinforcement Learning Model for the Emergence of Common Property and Transhumance in Sub-Saharan Africa. 91-106 - John Porter, Kuheli Chakraborty, Sandip Sen:
Learning to Locate Trading Partners in Agent Networks. 107-122 - Kagan Tumer, John W. Lawson:
Coordinating Learning Agents for Multiple Resource Job Scheduling. 123-140
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