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. 74 (2022)

Published: 2022-05-06

Impact of Imputation Strategies on Fairness in Machine Learning

Simon Caton, Saiteja Malisetty, Christian Haas


Admissibility in Probabilistic Argumentation

Nikolai Käfer, Christel Baier, Martin Diller, Clemens Dubslaff, Sarah Alice Gaggl, Holger Hermanns


Path Counting for Grid-Based Navigation

Rhys Goldstein, Kean Walmsley, Jacobo Bibliowicz, Alexander Tessier, Simon Breslav, Azam Khan


FOND Planning with Explicit Fairness Assumptions

Ivan D. Rodriguez, Blai Bonet, Sebastian Sardina, Hector Geffner


On the Tractability of SHAP Explanations

Guy Van den Broeck, Anton Lykov, Maximilian Schleich, Dan Suciu


Inductive Logic Programming At 30: A New Introduction

Andrew Cropper, Sebastijan Dumančić


Cooperation and Learning Dynamics under Wealth Inequality and Diversity in Individual Risk

Ramona Merhej, Fernando P. Santos, Francisco S. Melo, Francisco C. Santos


Fast Adaptive Non-Monotone Submodular Maximization Subject to a Knapsack Constraint

Georgios Amanatidis, Federico Fusco, Philip Lazos, Stefano Leonardi, Rebecca Reiffenhäuser


Automated Reinforcement Learning (AutoRL): A Survey and Open Problems

Jack Parker-Holder, Raghu Rajan, Xingyou Song, André Biedenkapp, Yingjie Miao, Theresa Eimer, Baohe Zhang, Vu Nguyen, Roberto Calandra, Aleksandra Faust, Frank Hutter, Marius Lindauer


Core Challenges in Embodied Vision-Language Planning

Jonathan Francis, Nariaki Kitamura, Felix Labelle, Xiaopeng Lu, Ingrid Navarro, Jean Oh


Ordinal Maximin Share Approximation for Goods

Hadi Hosseini, Andrew Searns, Erel Segal-Halevi


Adaptive Greedy versus Non-adaptive Greedy for Influence Maximization

Wei Chen, Binghui Peng, Grant Schoenebeck, Biaoshuai Tao


Constraint Solving Approaches to the Business-to-Business Meeting Scheduling Problem

Miquel Bofill, Jordi Coll, Marc Garcia, Jesús Giráldez-Cru, Gilles Pesant, Josep Suy, Mateu Villaret


A Few Queries Go a Long Way: Information-Distortion Tradeoffs in Matching

Georgios Amanatidis, Georgios Birmpas, Aris Filos-Ratsikas, Alexandros A. Voudouris


Proactive Dynamic Distributed Constraint Optimization Problems

Khoi D. Hoang, Ferdinando Fioretto, Ping Hou, William Yeoh, Makoto Yokoo, Roie Zivan


Avoiding Negative Side Effects of Autonomous Systems in the Open World

Sandhya Saisubramanian , Ece Kamar, Shlomo Zilberstein


Fair Division of Indivisible Goods for a Class of Concave Valuations

Bhaskar Ray Chaudhury, Yun Kuen Cheung, Jugal Garg, Naveen Garg, Martin Hoefer, Kurt Mehlhorn


Multi-Agent Advisor Q-Learning

Sriram Ganapathi Subramanian, Matthew E. Taylor, Kate Larson, Mark Crowley


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