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CORR
2011
Springer
196views Education» more  CORR 2011»
12 years 11 months ago
Privacy-Enhanced Reputation-Feedback Methods to Reduce Feedback Extortion in Online Auctions
In this paper, we study methods for improving the utility and privacy of reputation scores for online auctions, such as used in eBay, so as to reduce the effectiveness of feedbac...
Michael T. Goodrich, Florian Kerschbaum
ATAL
2009
Springer
14 years 2 months ago
Multiagent learning in large anonymous games
In large systems, it is important for agents to learn to act effectively, but sophisticated multi-agent learning algorithms generally do not scale. An alternative approach is to ï...
Ian A. Kash, Eric J. Friedman, Joseph Y. Halpern
SIGECOM
2009
ACM
114views ECommerce» more  SIGECOM 2009»
14 years 2 months ago
Policy teaching through reward function learning
Policy teaching considers a Markov Decision Process setting in which an interested party aims to influence an agent’s decisions by providing limited incentives. In this paper, ...
Haoqi Zhang, David C. Parkes, Yiling Chen
SIGECOM
2009
ACM
95views ECommerce» more  SIGECOM 2009»
14 years 2 months ago
Eliciting truthful answers to multiple-choice questions
Motivated by the prevalence of online questionnaires in electronic commerce, and of multiple-choice questions in such questionnaires, we consider the problem of eliciting truthful...
Nicolas S. Lambert, Yoav Shoham
SIGECOM
2009
ACM
112views ECommerce» more  SIGECOM 2009»
14 years 2 months ago
Network bargaining: algorithms and structural results
We consider models for bargaining in social networks, in which players are represented by vertices and edges represent bilateral opportunities for deals between pairs of players. ...
Tanmoy Chakraborty, Michael Kearns, Sanjeev Khanna