Jingwu Tang
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View article: Multi-Agent Imitation Learning: Value is Easy, Regret is Hard
Multi-Agent Imitation Learning: Value is Easy, Regret is Hard Open
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. Most prior work in MAIL essentially reduces the p…
View article: Precise Morphological Control of Beaded Fibers Through Hybrid Polymer Solutions and Novel Electrospinning Strategy: Insights from Orthogonal Experiments and Anova
Precise Morphological Control of Beaded Fibers Through Hybrid Polymer Solutions and Novel Electrospinning Strategy: Insights from Orthogonal Experiments and Anova Open
View article: Generating Private Synthetic Data with Genetic Algorithms
Generating Private Synthetic Data with Genetic Algorithms Open
We study the problem of efficiently generating differentially private synthetic data that approximate the statistical properties of an underlying sensitive dataset. In recent years, there has been a growing line of work that approaches thi…
View article: A Context-Integrated Transformer-Based Neural Network for Auction Design
A Context-Integrated Transformer-Based Neural Network for Auction Design Open
One of the central problems in auction design is developing an incentive-compatible mechanism that maximizes the auctioneer's expected revenue. While theoretical approaches have encountered bottlenecks in multi-item auctions, recently, the…