Comparing experiments in discounted problems
Ludovic Renou, Xavier Venel

TL;DR
This paper compares various statistical experiments in discounted decision problems, from simple fixed-state scenarios to complex ones involving controlled information flow and dynamic states.
Contribution
It provides a systematic comparison across a spectrum of discounted problems, highlighting differences in information control and state dynamics.
Findings
Simple fixed-state experiments analyzed
Impact of information control examined
Differences in problem complexity highlighted
Abstract
This paper compares statistical experiments in discounted problems, ranging from the simplest ones where the state is fixed and the flow of information exogenous to more complex ones, where the decision-maker controls the flow of information or the state changes over time.
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Taxonomy
TopicsMachine Learning and Algorithms
