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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...
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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...
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04/30/2023
NewsPanda: Media Monitoring for Timely Conservation Action
Non-governmental organizations for environmental conservation have a sig...
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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...
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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...
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02/28/2023
Self-Supervised Interest Transfer Network via Prototypical Contrastive Learning for Recommendation
Cross-domain recommendation has attracted increasing attention from indu...
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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...
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12/29/2022
Safe Subgame Resolving for Extensive Form Correlated Equilibrium
Correlated Equilibrium is a solution concept that is more general than N...
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12/07/2022
Neighborhood Adaptive Estimators for Causal Inference under Network Interference
Estimating causal effects has become an integral part of most applied fi...
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11/15/2022
Explainable Action Advising for Multi-Agent Reinforcement Learning
Action advising is a knowledge transfer technique for reinforcement lear...
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10/18/2022
Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation
Curriculum Reinforcement Learning (CRL) aims to create a sequence of tas...
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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 ...
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08/24/2022
Scenario-Adaptive and Self-Supervised Model for Multi-Scenario Personalized Recommendation
Multi-scenario recommendation is dedicated to retrieve relevant items fo...
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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...
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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...
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06/24/2022
A Dataset on Malicious Paper Bidding in Peer Review
In conference peer review, reviewers are often asked to provide "bids" o...
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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 ...
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05/25/2022
MAVIPER: Learning Decision Tree Policies for Interpretable Multi-Agent Reinforcement Learning
Many recent breakthroughs in multi-agent reinforcement learning (MARL) r...
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05/18/2022
Color Overmodification Emerges from Data-Driven Learning and Pragmatic Reasoning
Speakers' referential expressions often depart from communicative ideals...
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05/11/2022
Ranked Prioritization of Groups in Combinatorial Bandit Allocation
Preventing poaching through ranger patrols protects endangered wildlife,...
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03/30/2022
PerfectDou: Dominating DouDizhu with Perfect Information Distillation
As a challenging multi-player card game, DouDizhu has recently drawn muc...
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02/19/2022
Robust Reinforcement Learning as a Stackelberg Game via Adaptively-Regularized Adversarial Training
Robust Reinforcement Learning (RL) focuses on improving performances und...
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02/17/2022
A Survey of Explainable Reinforcement Learning
Explainable reinforcement learning (XRL) is an emerging subfield of expl...
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10/04/2021
Efficiency, Fairness, and Stability in Non-Commercial Peer-to-Peer Ridesharing
Unlike commercial ridesharing, non-commercial peer-to-peer (P2P) ridesha...
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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...
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08/21/2021
Temporal Induced Self-Play for Stochastic Bayesian Games
One practical requirement in solving dynamic games is to ensure that the...
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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...
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02/25/2021
Iterative Bounding MDPs: Learning Interpretable Policies via Non-Interpretable Methods
Current work in explainable reinforcement learning generally produces po...
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12/05/2020
Deep Archimedean Copulas
A central problem in machine learning and statistics is to model joint d...
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09/14/2020
Dual-Mandate Patrols: Multi-Armed Bandits for Green Security
Conservation efforts in green security domains to protect wildlife and f...
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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...
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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...
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06/29/2020
Mitigating Manipulation in Peer Review via Randomized Reviewer Assignments
We consider three important challenges in conference peer review: (i) re...
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03/23/2020
Evolutionary Population Curriculum for Scaling Multi-Agent Reinforcement Learning
In multi-agent games, the complexity of the environment can grow exponen...
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02/21/2020
Green Security Game with Community Engagement
While game-theoretic models and algorithms have been developed to combat...
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01/07/2020
Artificial Intelligence for Social Good: A Survey
Artificial intelligence for social good (AI4SG) is a research theme that...
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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...
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10/28/2019
Efficient Regret Minimization Algorithm for Extensive-Form Correlated Equilibrium
Self-play methods based on regret minimization have become the state of ...
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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...
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09/10/2019
Signal Instructed Coordination in Team Competition
Most existing models of multi-agent reinforcement learning (MARL) adopt ...
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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...
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07/20/2019
Dynamic Trip-Vehicle Dispatch with Scheduled and On-Demand Requests
Transportation service providers that dispatch drivers and vehicles to r...
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05/29/2019
Correlation in Extensive-Form Games: Saddle-Point Formulation and Benchmarks
While Nash equilibrium in extensive-form games is well understood, very ...
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05/13/2019
Learning and Planning in Feature Deception Games
Today's high-stakes adversarial interactions feature attackers who const...
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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...
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01/16/2019
Artificial Intelligence for Social Good
The Computing Community Consortium (CCC), along with the White House Off...
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01/03/2019
Draining the Water Hole: Mitigating Social Engineering Attacks
Cyber adversaries have increasingly leveraged social engineering attacks...
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01/03/2019
Towards Thwarting Social Engineering Attacks
Social engineering attacks represent an increasingly important attack ve...
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11/09/2018
On the Inducibility of Stackelberg Equilibrium for Security Games
Strong Stackelberg equilibrium (SSE) is the standard solution concept of...
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11/06/2018
