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AAI
2004
127views more  AAI 2004»
13 years 4 months ago
Evaluating The Regret System
The ReGreT system is a trust and reputation mechanism that uses, among other things, social information to improve the calculation of trust and reputation measures. Using a framew...
Jordi Sabater
NIPS
2004
13 years 6 months ago
Convergence and No-Regret in Multiagent Learning
Learning in a multiagent system is a challenging problem due to two key factors. First, if other agents are simultaneously learning then the environment is no longer stationary, t...
Michael H. Bowling
CPAIOR
2006
Springer
13 years 8 months ago
Online Stochastic Reservation Systems
This paper considers online stochastic reservation problems, where requests come online and must be dynamically allocated to limited resources in order to maximize profit. Multi-k...
Pascal Van Hentenryck, Russell Bent, Yannis Vergad...
CDC
2009
IEEE
169views Control Systems» more  CDC 2009»
13 years 9 months ago
Parametric regret in uncertain Markov decision processes
— We consider decision making in a Markovian setup where the reward parameters are not known in advance. Our performance criterion is the gap between the performance of the best ...
Huan Xu, Shie Mannor
SIGMOD
2012
ACM
210views Database» more  SIGMOD 2012»
11 years 7 months ago
Interactive regret minimization
We study the notion of regret ratio proposed in [19] to deal with multi-criteria decision making in database systems. The regret minimization query proposed in [19] was shown to h...
Danupon Nanongkai, Ashwin Lall, Atish Das Sarma, K...