The Journal of Artificial Intelligence Research (JAIR) is dedicated to the rapid dissemination of important research results to the global artificial intelligence (AI) community. The journal’s scope encompasses all areas of AI, including agents and multi-agent systems, automated reasoning, constraint processing and search, knowledge representation, machine learning, natural language, planning and scheduling, robotics and vision, and uncertainty in AI.

Vol. 70 (2021)

Published: 2021-01-08

Confident Learning: Estimating Uncertainty in Dataset Labels

Curtis Northcutt, Lu Jiang, Isaac Chuang

1373-1411

Instance-Level Update in DL-Lite Ontologies through First-Order Rewriting

Giuseppe De Giacomo, Xavier Oriol, Riccardo Rosati, Domenico Fabio Savo

1335-1371

The AI Liability Puzzle and A Fund-Based Work-Around

Olivia J. Erdelyi, Gabor Erdelyi

1309-1334

Strategyproof Mechanisms for Additively Separable and Fractional Hedonic Games

Michele Flammini, Bojana Kodric, Gianpiero Monaco, Qiang Zhang

1253–1279

Liquid Democracy: An Algorithmic Perspective

Anson Kahng, Simon Mackenzie, Ariel D. Procaccia

1223-1252

Induction and Exploitation of Subgoal Automata for Reinforcement Learning

Daniel Furelos-Blanco, Mark Law, Anders Jonsson, Krysia Broda, Alessandra Russo

1031-1116

The Societal Implications of Deep Reinforcement Learning

Jess Whittlestone, Kai Arulkumaran, Matthew Crosby

1003–1030

Constrained Multiagent Markov Decision Processes: a Taxonomy of Problems and Algorithms

Frits de Nijs, Erwin Walraven, Mathijs M. de Weerdt, Matthijs T. J. Spaan

955-1001

Safe Multi-Agent Pathfinding with Time Uncertainty

Tomer Shahar, Shashank Shekhar, Dor Atzmon, Abdallah Saffidine, Brendan Juba, Roni Stern

923–954

A Sufficient Statistic for Influence in Structured Multiagent Environments

Frans A. Oliehoek, Stefan Witwicki, Leslie P. Kaelbling

789-870

Efficient Large-Scale Multi-Drone Delivery using Transit Networks

Shushman Choudhury, Kiril Solovey, Mykel J. Kochenderfer, Marco Pavone

757-788

Two-facility Location Games with Minimum Distance Requirement

Xinping Xu, Bo Li, Minming Li, Lingjie Duan

719-756

Classifier Chains: A Review and Perspectives

Jesse Read, Bernhard Pfahringer, Geoffrey Holmes, Eibe Frank

683-718

Regarding Goal Bounding and Jump Point Search

Yue Hu, Daniel Harabor, Long Qin, Quanjun Yin

631-681

Generic Constraint-based Block Modeling using Constraint Programming

Alex Mattenet, Ian Davidson, Siegfried Nijssen, Pierre Schaus

597-630

On the Distortion Value of Elections with Abstention

Masoud Seddighin, Mohammad Latifian, Mohammad Ghodsi

567-595

An External Knowledge Enhanced Graph-based Neural Network for Sentence Ordering

Yongjing Yin, Shaopeng Lai, Linfeng Song, Chulun Zhou, Xianpei Han, Junfeng Yao, Jinsong Su

545-566

General Value Function Networks

Matthew Schlegel, Andrew Jacobsen, Zaheer Abbas, Andrew Patterson, Adam White, Martha White

497-543

On Super Strong ETH

Nikhil Vyas, Ryan Williams

473-495

The Computational Complexity of Understanding Binary Classifier Decisions

Stephan Waeldchen, Jan Macdonald, Sascha Hauch, Gitta Kutyniok

351–387

Learning Temporal Causal Sequence Relationships from Real-Time Time-Series

Antonio Anastasio Bruto da Costa, Pallab Dasgupta

205-243

Cost-optimal Planning, Delete Relaxation, Approximability, and Heuristics

Christer Bäckström, Peter Jonsson, Sebastian Ordyniak

169-204

Zone pAth Construction (ZAC) based Approaches for Effective Real-Time Ridesharing

Meghna Lowalekar, Pradeep Varakantham, Patrick Jaillet

119-167

Integrated Offline and Online Decision Making under Uncertainty

Allegra De Filippo, Michele Lombardi, Michela Milano

77-117

Superintelligence Cannot be Contained: Lessons from Computability Theory

Manuel Alfonseca, Manuel Cebrian, Antonio Fernandez Anta, Lorenzo Coviello, Andrés Abeliuk, Iyad Rahwan

65-76

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