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cs.LG2023
When the Agent Learns Too: Learning to Incentivize with Unobserved Rewards
Ilgin Dogan, Zuo-Jun Max Shen, Anil Aswani
In practice, incentive providers (i.e., principals) often cannot observe the reward realizations of incentivized agents, which is in contrast to many principal-agent models that ha…
cs.LG2023
Learning to Incentivize Perfect-Knowledge Agents with Unobserved Rewards
Ilgin Dogan, Zuo-Jun Max Shen, Anil Aswani
Motivated by a number of real-world applications from domains like healthcare and sustainable transportation, in this paper we study a scenario of repeated principal-agent games wi…