b'Fei Fang'

research

∙ 08/05/2023

DiffDance: Cascaded Human Motion Diffusion Model for Dance Generation

When hearing music, it is natural for people to dance to its rhythm. Aut...

0 Qiaosong Qi, et al. ∙

research

∙ 07/11/2023

Testing for Reviewer Anchoring in Peer Review: A Randomized Controlled Trial

Peer review frequently follows a process where reviewers first provide i...

0 Ryan Liu, et al. ∙

research

∙ 04/30/2023

NewsPanda: Media Monitoring for Timely Conservation Action

Non-governmental organizations for environmental conservation have a sig...

0 Sedrick Scott Keh, et al. ∙

research

∙ 04/12/2023

Bi-level Latent Variable Model for Sample-Efficient Multi-Agent Reinforcement Learning

Despite their potential in real-world applications, multi-agent reinforc...

0 Aravind Venugopal, et al. ∙

research

∙ 03/02/2023

Navigates Like Me: Understanding How People Evaluate Human-Like AI in Video Games

We aim to understand how people assess human likeness in navigation prod...

0 Stephanie Milani, et al. ∙

research

∙ 02/28/2023

Self-Supervised Interest Transfer Network via Prototypical Contrastive Learning for Recommendation

Cross-domain recommendation has attracted increasing attention from indu...

0 Guoqiang Sun, et al. ∙

research

∙ 12/29/2022

Function Approximation for Solving Stackelberg Equilibrium in Large Perfect Information Games

Function approximation (FA) has been a critical component in solving lar...

0 Chun Kai Ling, et al. ∙

research

∙ 12/29/2022

Safe Subgame Resolving for Extensive Form Correlated Equilibrium

Correlated Equilibrium is a solution concept that is more general than N...

0 Chun Kai Ling, et al. ∙

research

∙ 12/07/2022

Neighborhood Adaptive Estimators for Causal Inference under Network Interference

Estimating causal effects has become an integral part of most applied fi...

0 Alexandre Belloni, et al. ∙

research

∙ 11/15/2022

Explainable Action Advising for Multi-Agent Reinforcement Learning

Action advising is a knowledge transfer technique for reinforcement lear...

0 Yue Guo, et al. ∙

research

∙ 10/18/2022

Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation

Curriculum Reinforcement Learning (CRL) aims to create a sequence of tas...

21 Peide Huang, et al. ∙

research

∙ 10/04/2022

Inverse Game Theory for Stackelberg Games: the Blessing of Bounded Rationality

Optimizing strategic decisions (a.k.a. computing equilibrium) is key to ...

0 Jibang Wu, et al. ∙

research

∙ 08/24/2022

Scenario-Adaptive and Self-Supervised Model for Multi-Scenario Personalized Recommendation

Multi-scenario recommendation is dedicated to retrieve relevant items fo...

0 Yuanliang Zhang, et al. ∙

research

∙ 08/11/2022

Continual Transfer Learning for Cross-Domain Click-Through Rate Prediction at Taobao

As one of the largest e-commerce platforms in the world, Taobao's recomm...

0 Lixin Liu, et al. ∙

research

∙ 07/22/2022

Tradeoffs in Preventing Manipulation in Paper Bidding for Reviewer Assignment

Many conferences rely on paper bidding as a key component of their revie...

0 Steven Jecmen, et al. ∙

research

∙ 06/24/2022

A Dataset on Malicious Paper Bidding in Peer Review

In conference peer review, reviewers are often asked to provide "bids" o...

0 Steven Jecmen, et al. ∙

research

∙ 06/23/2022

The Real Deal: A Review of Challenges and Opportunities in Moving Reinforcement Learning-Based Traffic Signal Control Systems Towards Reality

Traffic signal control (TSC) is a high-stakes domain that is growing in ...

0 Rex Chen, et al. ∙

research

∙ 05/25/2022

MAVIPER: Learning Decision Tree Policies for Interpretable Multi-Agent Reinforcement Learning

Many recent breakthroughs in multi-agent reinforcement learning (MARL) r...

0 Stephanie Milani, et al. ∙

research

∙ 05/18/2022

Color Overmodification Emerges from Data-Driven Learning and Pragmatic Reasoning

Speakers' referential expressions often depart from communicative ideals...

0 Fei Fang, et al. ∙

research

∙ 05/11/2022

Ranked Prioritization of Groups in Combinatorial Bandit Allocation

Preventing poaching through ranger patrols protects endangered wildlife,...

0 Lily Xu, et al. ∙

research

∙ 03/30/2022

PerfectDou: Dominating DouDizhu with Perfect Information Distillation

As a challenging multi-player card game, DouDizhu has recently drawn muc...

0 Guan Yang, et al. ∙

research

∙ 02/19/2022

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

Robust Reinforcement Learning (RL) focuses on improving performances und...

0 Peide Huang, et al. ∙

research

∙ 02/17/2022

A Survey of Explainable Reinforcement Learning

Explainable reinforcement learning (XRL) is an emerging subfield of expl...

35 Stephanie Milani, et al. ∙

research

∙ 10/04/2021

Efficiency, Fairness, and Stability in Non-Commercial Peer-to-Peer Ridesharing

Unlike commercial ridesharing, non-commercial peer-to-peer (P2P) ridesha...

0 Hoon Oh, et al. ∙

research

∙ 09/28/2021

Fighting the Fog: Evaluating the Clarity of Privacy Disclosures in the Age of CCPA

Vagueness and ambiguity in privacy policies threaten the ability of cons...

0 Rex Chen, et al. ∙

research

∙ 08/21/2021

Temporal Induced Self-Play for Stochastic Bayesian Games

One practical requirement in solving dynamic games is to ensure that the...

0 Weizhe Chen, et al. ∙

research

∙ 08/13/2021

Near-Optimal Reviewer Splitting in Two-Phase Paper Reviewing and Conference Experiment Design

Many scientific conferences employ a two-phase paper review process, whe...

0 Steven Jecmen, et al. ∙

research

∙ 02/25/2021

Iterative Bounding MDPs: Learning Interpretable Policies via Non-Interpretable Methods

Current work in explainable reinforcement learning generally produces po...

7 Nicholay Topin, et al. ∙

research

∙ 12/05/2020

Deep Archimedean Copulas

A central problem in machine learning and statistics is to model joint d...

0 Chun Kai Ling, et al. ∙

research

∙ 09/14/2020

Dual-Mandate Patrols: Multi-Armed Bandits for Green Security

Conservation efforts in green security domains to protect wildlife and f...

5 Lily Xu, et al. ∙

research

∙ 08/26/2020

Bandit Data-driven Optimization: AI for Social Good and Beyond

The use of machine learning (ML) systems in real-world applications enta...

13 Zheyuan Ryan Shi, et al. ∙

research

∙ 08/05/2020

TPG-DNN: A Method for User Intent Prediction Based on Total Probability Formula and GRU Loss with Multi-task Learning

The E-commerce platform has become the principal battleground where peop...

6 Jingxing Jiang, et al. ∙

research

∙ 06/29/2020

Mitigating Manipulation in Peer Review via Randomized Reviewer Assignments

We consider three important challenges in conference peer review: (i) re...

41 Steven Jecmen, et al. ∙

research

∙ 03/23/2020

Evolutionary Population Curriculum for Scaling Multi-Agent Reinforcement Learning

In multi-agent games, the complexity of the environment can grow exponen...

9 Qian Long, et al. ∙

research

∙ 02/21/2020

Green Security Game with Community Engagement

While game-theoretic models and algorithms have been developed to combat...

0 Taoan Huang, et al. ∙

research

∙ 01/07/2020

Artificial Intelligence for Social Good: A Survey

Artificial intelligence for social good (AI4SG) is a research theme that...

0 Zheyuan Ryan Shi, et al. ∙

research

∙ 12/16/2019

AI for Social Impact: Learning and Planning in the Data-to-Deployment Pipeline

With the maturing of AI and multiagent systems research, we have a treme...

0 Andrew Perrault, et al. ∙

research

∙ 10/28/2019

Efficient Regret Minimization Algorithm for Extensive-Form Correlated Equilibrium

Self-play methods based on regret minimization have become the state of ...

0 Gabriele Farina, et al. ∙

research

∙ 10/24/2019

A Robot's Expressive Language Affects Human Strategy and Perceptions in a Competitive Game

As robots are increasingly endowed with social and communicative capabil...

0 Aaron M. Roth, et al. ∙

research

∙ 09/10/2019

Signal Instructed Coordination in Team Competition

Most existing models of multi-agent reinforcement learning (MARL) adopt ...

11 Liheng Chen, et al. ∙

research

∙ 09/10/2019

Signal Instructed Coordination in Cooperative Multi-agent Reinforcement Learning

In many real-world problems, a team of agents need to collaborate to max...

0 Liheng Chen, et al. ∙

research

∙ 07/20/2019

Dynamic Trip-Vehicle Dispatch with Scheduled and On-Demand Requests

Transportation service providers that dispatch drivers and vehicles to r...

0 Taoan Huang, et al. ∙

research

∙ 05/29/2019

Correlation in Extensive-Form Games: Saddle-Point Formulation and Benchmarks

While Nash equilibrium in extensive-form games is well understood, very ...

0 Gabriele Farina, et al. ∙

research

∙ 05/13/2019

Learning and Planning in Feature Deception Games

Today's high-stakes adversarial interactions feature attackers who const...

0 Zheyuan Ryan Shi, et al. ∙

research

∙ 03/11/2019

Large Scale Learning of Agent Rationality in Two-Player Zero-Sum Games

With the recent advances in solving large, zero-sum extensive form games...

0 Chun Kai Ling, et al. ∙

research

∙ 01/16/2019

Artificial Intelligence for Social Good

The Computing Community Consortium (CCC), along with the White House Off...

0 Gregory D. Hager, et al. ∙

research

∙ 01/03/2019

Draining the Water Hole: Mitigating Social Engineering Attacks

Cyber adversaries have increasingly leveraged social engineering attacks...

0 Zheyuan Ryan Shi, et al. ∙

research

∙ 01/03/2019

Towards Thwarting Social Engineering Attacks

Social engineering attacks represent an increasingly important attack ve...

0 Zheyuan Ryan Shi, et al. ∙

research

∙ 11/09/2018

On the Inducibility of Stackelberg Equilibrium for Security Games

Strong Stackelberg equilibrium (SSE) is the standard solution concept of...

0 Qingyu Guo, et al. ∙

research

∙ 11/06/2018

Deep Reinforcement Learning for Green Security Games with Real-Time Information

Green Security Games (GSGs) have been proposed and applied to optimize p...

0 Yufei Wang, et al. ∙

Fei Fang

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