Abstract: In this article, we develop distributed computation algorithms for Nash equilibriums of linear–quadratic network games with proven differential privacy guarantees. In a network game with ...
Professor Zhou's team provides a rigorous theoretical foundation in their paper. They demonstrate that a specific form of offline Inverse Reinforcement Learning (IRL) reward function can be recovered ...
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