Multi-Agent Imitation Learning: Value is Easy, Regret is Hard

no code implementations • 6 Jun 2024 • Jingwu Tang, Gokul Swamy, Fei Fang, Zhiwei Steven Wu

We study a multi-agent imitation learning (MAIL) problem where we take the perspective of a learner attempting to coordinate a group of agents based on demonstrations of an expert doing so.

counterfactual Imitation Learning

Generating Private Synthetic Data with Genetic Algorithms

1 code implementation • 5 Jun 2023 • Terrance Liu, Jingwu Tang, Giuseppe Vietri, Zhiwei Steven Wu

We study the problem of efficiently generating differentially private synthetic data that approximate the statistical properties of an underlying sensitive dataset.

A Context-Integrated Transformer-Based Neural Network for Auction Design

1 code implementation • 29 Jan 2022 • Zhijian Duan, Jingwu Tang, Yutong Yin, Zhe Feng, Xiang Yan, Manzil Zaheer, Xiaotie Deng

One of the central problems in auction design is developing an incentive-compatible mechanism that maximizes the auctioneer's expected revenue.