activity
20192022
most citedPerfectDou: Dominating DouDizhu with Perfect Information Distillation

14 citations · 37 across the 12 of their papers we have counts for

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Showing 2022Show all

6 papers · 1 filter

cs.GT2022★ 1 cited

Safe Subgame Resolving for Extensive Form Correlated Equilibrium

Chun Kai Ling, Fei Fang

Correlated Equilibrium is a solution concept that is more general than Nash Equilibrium (NE) and can lead to outcomes with better social welfare. However, its natural extension to…

cs.GT2022

Function Approximation for Solving Stackelberg Equilibrium in Large Perfect Information Games

Chun Kai Ling, J. Zico Kolter, Fei Fang

Function approximation (FA) has been a critical component in solving large zero-sum games. Yet, little attention has been given towards FA in solving \textit{general-sum} extensive…

cs.AI2022★ 4 cited

Tradeoffs in Preventing Manipulation in Paper Bidding for Reviewer Assignment

Steven Jecmen, Nihar B. Shah, Fei Fang +1

Many conferences rely on paper bidding as a key component of their reviewer assignment procedure. These bids are then taken into account when assigning reviewers to help ensure tha…

cs.CR2022★ 1 cited

A Dataset on Malicious Paper Bidding in Peer Review

Steven Jecmen, Minji Yoon, Vincent Conitzer +2

In conference peer review, reviewers are often asked to provide "bids" on each submitted paper that express their interest in reviewing that paper. A paper assignment algorithm the…

cs.AI2022★ 14 cited

PerfectDou: Dominating DouDizhu with Perfect Information Distillation

Guan Yang, Minghuan Liu, Weijun Hong +4

As a challenging multi-player card game, DouDizhu has recently drawn much attention for analyzing competition and collaboration in imperfect-information games. In this paper, we pr…

cs.LG2022★ 2 cited

Robust Reinforcement Learning as a Stackelberg Game via Adaptively-Regularized Adversarial Training

Peide Huang, Mengdi Xu, Fei Fang +1

Robust Reinforcement Learning (RL) focuses on improving performances under model errors or adversarial attacks, which facilitates the real-life deployment of RL agents. Robust Adve…