Kagan Tumer

Oregon State University

Bexell Hall 200

Corvallis, OR 97331

United States

SCHOLARLY PAPERS

4

DOWNLOADS

58

SSRN CITATIONS

1

CROSSREF CITATIONS

0

Scholarly Papers (4)

1.

Testing a Purportedly More Learnable Auction Mechanism

Harvard Business School NOM Working Paper No. 08-064
Number of pages: 37 Posted: 06 Feb 2008
University of Pennsylvania - The Wharton School, Harvard Business School - Negotiation, Organizations & Markets UnitLax Sebenius LLC, affiliation not provided to SSRN, Harvard University - Division of Engineering and Applied Sciences and Oregon State University
Downloads 58 (672,866)
Citation 2

Abstract:

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auctions, mechanism design, learning, experimental economics

2.

Learning from Actions Not Taken in Multiagent Systems

Advances in Complex Systems, Vol. 12, Nos. 4-5, pp. 455-473, 2009
Posted: 26 Apr 2010
Kagan Tumer
Oregon State University

Abstract:

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Multiagent learning, counterfactual reward, difference reward

3.

Multiagent Learning for Black Box System Reward Functions

Advances in Complex Systems, Vol. 12, Nos. 4-5, pp. 475-492 2009
Posted: 26 Apr 2010
Kagan Tumer
Oregon State University

Abstract:

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Multiagent learning, black box reward functions, multiagent coordination

4.

Learning Indirect Actions in Complex Domains: Action Suggestions for Air Traffic Control

Advances in Complex Systems, Vol. 12, Nos. 4-5, pp. 493-512, 2009
Posted: 26 Apr 2010
Kagan Tumer
Oregon State University

Abstract:

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Air traffic control, learning indirect actions, suggestion agents, multiagent learning