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Generalized Thompson Sampling for Sequential Decision-Making and Causal Inference
Generalized Thompson Sampling Sequential Decision-Making Causal Inference
2013/5/2
Recently, it has been shown how sampling actions from the predictive distribution over the optimal action-sometimes called Thompson sampling-can be applied to solve sequential adaptive control problem...
State-space based mass event-history model I：many decision-making agents with one target
Extremists Heterogeneity Interval censoring Logistic regression Maximum likelihood estimation Nematode
2010/3/17
A dynamic decision-making system that includes a mass of indistinguishable
agents could manifest impressive heterogeneity. This
kind of nonhomogeneity is postulated to result from macroscopic behavi...
Aggregation functions are generally defined and used to combine several numerical
values into a single one, so that the final result of the aggregation takes into account
all the individual values i...