Application

Adaptive Foundation Models for Online Decisions: HyperAgent with Fast Incremental Uncertainty Estimation

We prove HyperAgent closes a theoretical gap in scalable exploration. Further, GPT-HyperAgent addresses risk and efficiency challenges in human-Al interplay for automated content moderation with human feedback.

Yingru Li, Jiawei Xu, Zhi-Quan Luo

Learning an Opponent-aware Anti-jamming Strategy via Online Convex Optimization

Liangqi Liu, Wenqiang Pu, Yingru Li, Bo Jiu, Zhi-Quan Luo

Radar Anti-jamming Strategy Learning via Domain-knowledge Enhanced Online Convex Optimization

Liangqi Liu, Wenqiang Pu, Yingru Li, Bo Jiu, Zhi-Quan Luo

Controlled Decoding via Q-Star on Outcome Feedback for Language Models

Yingru Li, Jiawei Xu, Xiangbo Wu, Anningzhe Gao, Baoxiang Wang, Benyou Wang, Zhi-Quan Luo

Uncertainty-aware Multi-turn Language Agents for Medical Decision-making

Yingru Li, Xiangbo Wu, Yanchuan Tang, Benyou Wang, Xiang Wan, Zhi-Quan Luo

Optimistic Thompson Sampling for No-Regret Learning in Unknown Games

Game-theoretic decision-making in multi-agent systems. I developed optimistic TS type algorithm that significantly reduce experimental costs in applications such as traffic management and radar communications.

Yingru Li, Liangqi Liu, Wenqiang Pu, Hao Liang, Zhi-Quan Luo

No-Regret Learning in Unknown Game with Applications

Aug 23, 2022 2:00 PM

Yingru LI

No-Regret Learning in Unknown Game with Applications

Hidden community detection in social networks

Kun He, Yingru Li, Sucheta Soundarajan, John E Hopcroft