24 citations · 57 across the 43 of their papers we have counts for
6 papers · 1 filter
Algorithmic Contract Theory: A Survey
Paul Duetting, Michal Feldman, Inbal Talgam-Cohen
A contract is an economic tool used by a principal to incentivize one or more agents to exert effort on her behalf, by defining payments based on observable performance measures. A…
Principal-Agent Reinforcement Learning: Orchestrating AI Agents with Contracts
Dima Ivanov, Paul Dütting, Inbal Talgam-Cohen +2
The increasing deployment of AI is shaping the future landscape of the internet, which is set to become an integrated ecosystem of AI agents. Orchestrating the interaction among AI…
Incentivizing Quality Text Generation via Statistical Contracts
Eden Saig, Ohad Einav, Inbal Talgam-Cohen
While the success of large language models (LLMs) increases demand for machine-generated text, current pay-per-token pricing schemes create a misalignment of incentives known in ec…
Statistically Truthful Auctions via Acceptance Rule
Roy Maor Lotan, Inbal Talgam-Cohen, Yaniv Romano
Auctions are key for maximizing sellers' revenue and ensuring truthful bidding among buyers. Recently, an approach known as differentiable economics based on machine learning (ML)…
MAC Advice for Facility Location Mechanism Design
Zohar Barak, Anupam Gupta, Inbal Talgam-Cohen
Algorithms with predictions have attracted much attention in the last years across various domains, including variants of facility location, as a way to surpass traditional worst-c…
Contracting with a Learning Agent
Guru Guruganesh, Yoav Kolumbus, Jon Schneider +4
Many real-life contractual relations differ completely from the clean, static model at the heart of principal-agent theory. Typically, they involve repeated strategic interactions…