Multiagent Learning
Papers from the AAAI Workshop
Sandip Sen, Program Chair
Technical Report WS-97-03 published by The AAAI Press, Menlo Park, California
This technical report is also available in book and CD format.
Please Note: Abstracts are linked to individual titles, and will appear in a separate browser window. Full-text versions of the papers are linked to the abstract text. Access to full text may be restricted to AAAI members. PDF file sizes may be large!
Contents
Forward / i
Sandip Sen
Learning by Cooperating Agents / 1
Raj Bhatnagar
Learning Roles: Behavioral Diversity in Robot Teams / 7
Tucker Balch
The Dynamics of Reinforcement Learning in Cooperative Multiagent Systems / 13
Caroline Claus and Craig Boutilier
An Accumulative Exploration Method for Reinforcement Learning / 19
Edwin de Jong
Evolving Organizations of Agents / 25
Claudia V. Goldman and Jeffrey S. Rosensehein
Evolving Cooperative Groups: Preliminary Results / 31
Maria Gordin, Narendra Puppala and Sandip Sen
Learning in Multiagent Control of Smart Matter / 36
Oliver Guenther, Tad Hogg and Bernardo A. Huberman
Augmenting Collective Adaptation with Simple Process Agents / 41
Thomas Haynes
Learning and Adaption in Multiagent Systems / 47
David C. Parkes and Lyle H. Ungar
Learning Problem Solving in Cooperative Multi-agent Systems / 53
M. V. Nagendra Prasad and Victor R. Lesser
Learning to Take Risks / 59
Sandip Sen and Neeraj Arora
Using Decision Tree Confidence Factors for Multiagent Control / 65
Peter Stone and Manuela Veloso
Agents Learning about Agents: A Framework and Analysis / 71
Jose M. Vidal and Edmund H. Durfee
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