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Found 3 papers, 1 papers with code
Agent-Based Model Calibration using Machine Learning Surrogates
The algorithm introduced in this paper merges model simulation and output analysis into a surrogate meta-model, which substantially ease ABM calibration.
Exploiting easy data in online optimization
We consider the problem of online optimization, where a learner chooses a decision from a given decision set and suffers some loss associated with the decision and the state of the environment.
Risk-Aversion in Multi-armed Bandits
In stochastic multi--armed bandits the objective is to solve the exploration--exploitation dilemma and ultimately maximize the expected reward.
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