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Found 3 papers, 1 papers with code
Markov Persuasion Processes: Learning to Persuade from Scratch
Recently, Markov persuasion processes (MPPs) have been introduced to capture sequential scenarios where a sender faces a stream of myopic receivers in a Markovian environment.
Learning Optimal Contracts: How to Exploit Small Action Spaces
We design an algorithm that learns an approximately-optimal contract with high probability in a number of rounds polynomial in the size of the outcome space, when the number of actions is constant.
Autoregressive Bandits
Autoregressive processes naturally arise in a large variety of real-world scenarios, including stock markets, sales forecasting, weather prediction, advertising, and pricing.
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