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IJCAI
1989
13 years 7 months ago
A Study of Empirical Learning for an Involved Problem
In real-world domains a concept to be learned may be unwieldy and the environment may be less than ideal. One combination of difficulties occurs if the concept is probabilistic an...
Larry A. Rendell
EUROCRYPT
2011
Springer
12 years 9 months ago
Homomorphic Signatures for Polynomial Functions
We construct the first homomorphic signature scheme that is capable of evaluating multivariate polynomials on signed data. Given the public key and a signed data set, there is an...
Dan Boneh, David Mandell Freeman
MOC
2002
73views more  MOC 2002»
13 years 5 months ago
Evaluation of zeta function of the simplest cubic field at negative odd integers
Abstract. In this paper, we are interested in the evaluation of the zeta function of the simplest cubic field. We first introduce Siegel's formula for values of the zeta funct...
Hyun Kwang Kim, Jung Soo Kim
IDEAL
2004
Springer
13 years 11 months ago
Policy Gradient Method for Team Markov Games
The main aim of this paper is to extend the single-agent policy gradient method for multiagent domains where all agents share the same utility function. We formulate these team pro...
Ville Könönen
KCAP
2009
ACM
14 years 8 days ago
Interactively shaping agents via human reinforcement: the TAMER framework
As computational learning agents move into domains that incur real costs (e.g., autonomous driving or financial investment), it will be necessary to learn good policies without n...
W. Bradley Knox, Peter Stone