A gradient-based algorithm designs side payments to minimize uncertainty about a follower's type in leader-follower Markov decision processes.
Observable Operator Models for Discrete Stochastic Time Series
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Active Inference through Incentive Design in Markov Decision Processes
A gradient-based algorithm designs side payments to minimize uncertainty about a follower's type in leader-follower Markov decision processes.