IJCAI 2023

851 papers

Robust Reinforcement Learning via Progressive Task Sequence

Yike Li, Yunzhe Tian, Endong Tong, Wenjia Niu, Jiqiang Liu

Negative Flux Aggregation to Estimate Feature Attributions

Xin Li, Deng Pan, Chengyin Li, Yao Qiang, Dongxiao Zhu

Fairness via Group Contribution Matching

Tianlin Li, Zhiming Li, Anran Li, Mengnan Du, Aishan Liu

Advancing Post-Hoc Case-Based Explanation with Feature Highlighting

Eoin M. Kenny, Eoin Delaney, Mark T. Keane

Moral Planning Agents with LTL Values

Umberto Grandi, Emiliano Lorini, Timothy Parker

Sampling Ex-Post Group-Fair Rankings

Sruthi Gorantla, Amit Deshpande, Anand Louis

Incentivizing Recourse through Auditing in Strategic Classification

Andrew Estornell, Yatong Chen, Sanmay Das, Yang Liu, Yevgeniy Vorobeychik

Group Fairness in Set Packing Problems

Sharmila Duppala, Juan Luque, John Dickerson, Aravind Srinivasan

Choose your Data Wisely: A Framework for Semantic Counterfactuals

Edmund Dervakos, Konstantinos Thomas, Giorgos Filandrianos, Giorgos Stamou

Analyzing Intentional Behavior in Autonomous Agents under Uncertainty

Filip Cano Córdoba, Samuel Judson, Timos Antonopoulos, Katrine Bjørner, Nicholas Shoemaker

Quantifying Harm

Sander Beckers, Hana Chockler, Joseph Y. Halpern

Inducing Stackelberg Equilibrium through Spatio-Temporal Sequential Decision-Making in Multi-Agent Reinforcement Learning

Bin Zhang, Lijuan Li, Zhiwei Xu, Dapeng Li, Guoliang Fan

Dynamic Belief for Decentralized Multi-Agent Cooperative Learning

Yunpeng Zhai, Peixi Peng, Chen Su, Yonghong Tian

Measuring Acoustics with Collaborative Multiple Agents

Yinfeng Yu, Changan Chen, Lele Cao, Fangkai Yang, Fuchun Sun

Exploration via Joint Policy Diversity for Sparse-Reward Multi-Agent Tasks

Pei Xu, Junge Zhang, Kaiqi Huang

Modeling Moral Choices in Social Dilemmas with Multi-Agent Reinforcement Learning

Elizaveta Tennant, Stephen Hailes, Mirco Musolesi

Optimal Anytime Coalition Structure Generation Utilizing Compact Solution Space Representation

Redha Taguelmimt, Samir Aknine, Djamila Boukredera, Narayan Changder, Tuomas Sandholm

CVTP3D: Cross-view Trajectory Prediction Using Shared 3D Queries for Autonomous Driving

Zijian Song, Huikun Bi, Ruisi Zhang, Tianlu Mao, Zhaoqi Wang

Norm Deviation in Multiagent Systems: A Foundation for Responsible Autonomy

Amika M. Singh, Munindar P. Singh

Multi-Agent Systems with Quantitative Satisficing Goals

Senthil Rajasekaran, Suguman Bansal, Moshe Y. Vardi

Towards a Better Understanding of Learning with Multiagent Teams

David Radke, Kate Larson, Tim Brecht, Kyle Tilbury

Asynchronous Communication Aware Multi-Agent Task Allocation

Ben Rachmut, Sofia Amador Nelke, Roie Zivan

Quick Multi-Robot Motion Planning by Combining Sampling and Search

Keisuke Okumura, Xavier Défago

Improving LaCAM for Scalable Eventually Optimal Multi-Agent Pathfinding

Keisuke Okumura

Why Rumors Spread Fast in Social Networks, and How to Stop It

Ahad N. Zehmakan, Charlotte Out, Sajjad Hesamipour Khelejan

Discounting in Strategy Logic

Munyque Mittelmann, Aniello Murano, Laurent Perrussel

The #DNN-Verification Problem: Counting Unsafe Inputs for Deep Neural Networks

Luca Marzari, Davide Corsi, Ferdinando Cicalese, Alessandro Farinelli

Deep Hierarchical Communication Graph in Multi-Agent Reinforcement Learning

Zeyang Liu, Lipeng Wan, Xue Sui, Zhuoran Chen, Kewu Sun

GPLight: Grouped Multi-agent Reinforcement Learning for Large-scale Traffic Signal Control

Yilin Liu, Guiyang Luo, Quan Yuan, Jinglin Li, Lei Jin

Probabilistic Planning with Prioritized Preferences over Temporal Logic Objectives

Lening Li, Hazhar Rahmani, Jie Fu

In Which Graph Structures Can We Efficiently Find Temporally Disjoint Paths and Walks?

Pascal Kunz, Hendrik Molter, Meirav Zehavi

Synthesizing Resilient Strategies for Infinite-Horizon Objectives in Multi-Agent Systems

David Klaška, Antonín Kučera, Martin Kurečka, Vít Musil, Petr Novotný

Decentralized Anomaly Detection in Cooperative Multi-Agent Reinforcement Learning

Kiarash Kazari, Ezzeldin Shereen, György Dán

Learning to Send Reinforcements: Coordinating Multi-Agent Dynamic Police Patrol Dispatching and Rescheduling via Reinforcement Learning

Waldy Joe, Hoong Chuin Lau

Principal-Agent Boolean Games

David Hyland, Julian Gutierrez, Michael Wooldridge

Beyond Strict Competition: Approximate Convergence of Multi-agent Q-Learning Dynamics

Aamal Hussain, Francesco Belardinelli, Georgios Piliouras

Scalable Communication for Multi-Agent Reinforcement Learning via Transformer-Based Email Mechanism

Xudong Guo, Daming Shi, Wenhui Fan

Learning in Multi-Memory Games Triggers Complex Dynamics Diverging from Nash Equilibrium

Yuma Fujimoto, Kaito Ariu, Kenshi Abe

Cross-community Adapter Learning (CAL) to Understand the Evolving Meanings of Norm Violation

Thiago Freitas dos Santos, Stephen Cranefield, Bastin Tony Roy Savarimuthu, Nardine Osman, Marco Schorlemmer

Controlling Neural Style Transfer with Deep Reinforcement Learning

Chengming Feng, Jing Hu, Xin Wang, Shu Hu, Bin Zhu

Multi-Agent Intention Recognition and Progression

Michael Dann, Yuan Yao, Natasha Alechina, Brian Logan, Felipe Meneguzzi

Safe Multi-agent Learning via Trapping Regions

Aleksander Czechowski, Frans A. Oliehoek

Anticipatory Fictitious Play

Alex Cloud, Albert Wang, Wesley Kerr

Efficient and Equitable Deployment of Mobile Vaccine Distribution Centers

Da Qi Chen, Ann Li, George Z. Li, Madhav Marathe, Aravind Srinivasan

Explainable Multi-Agent Reinforcement Learning for Temporal Queries

Kayla Boggess, Sarit Kraus, Lu Feng

Scalable Verification of Strategy Logic through Three-Valued Abstraction

Francesco Belardinelli, Angelo Ferrando, Wojciech Jamroga, Vadim Malvone, Aniello Murano

On a Voter Model with Context-Dependent Opinion Adoption

Luca Becchetti, Vincenzo Bonifaci, Emilio Cruciani, Francesco Pasquale

On the Role of Memory in Robust Opinion Dynamics

Luca Becchetti, Andrea Clementi, Amos Korman, Francesco Pasquale, Luca Trevisan

Proportionally Fair Online Allocation of Public Goods with Predictions

Siddhartha Banerjee, Vasilis Gkatzelis, Safwan Hossain, Billy Jin, Evi Micha

Artificial Agents Inspired by Human Motivation Psychology for Teamwork in Hazardous Environments

Anupama Arukgoda, Erandi Lakshika, Michael Barlow, Kasun Gunawardana

Learning Dissemination Strategies for External Sources in Opinion Dynamic Models with Cognitive Biases

Abdullah Al Maruf, Luyao Niu, Bhaskar Ramasubramanian, Andrew Clark, Radha Poovendran