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» The Aggregation of Imprecise Probabilities
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ICML
2006
IEEE
14 years 11 months ago
Qualitative reinforcement learning
When the transition probabilities and rewards of a Markov Decision Process are specified exactly, the problem can be solved without any interaction with the environment. When no s...
Arkady Epshteyn, Gerald DeJong
IJAR
2008
161views more  IJAR 2008»
13 years 11 months ago
Bayesian learning for a class of priors with prescribed marginals
We present Bayesian updating of an imprecise probability measure, represented by a class of precise multidimensional probability measures. Choice and analysis of our class are mot...
Hermann Held, Thomas Augustin, Elmar Kriegler
MICRO
2000
IEEE
95views Hardware» more  MICRO 2000»
13 years 10 months ago
Predicting the Future
We present a novel methodology for predicting future outcomes that uses small numbers of individuals participating in an imperfect information market. By determining their risk att...
TSE
2011
134views more  TSE 2011»
13 years 5 months ago
Verifying the Evolution of Probability Distributions Governed by a DTMC
— We propose a new probabilistic temporal logic iLTL which captures properties of systems whose state can be represented by probability mass functions (pmf’s). Using iLTL, we c...
YoungMin Kwon, Gul A. Agha
CDC
2010
IEEE
109views Control Systems» more  CDC 2010»
13 years 5 months ago
Robust comparative statics in large static games
We provide general comparative static results for large finite and infinite-dimensional aggregative games. In aggregative games, each player's payoff depends on her own action...
Daron Acemoglu, Martin Kaae Jensen