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

1011-1035

Admissibility in Probabilistic Argumentation

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

957–1009

Path Counting for Grid-Based Navigation

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

917-955

FOND Planning with Explicit Fairness Assumptions

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

887–916

On the Tractability of SHAP Explanations

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

851-886

Inductive Logic Programming At 30: A New Introduction

Andrew Cropper, Sebastijan Dumančić

765-850

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

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

733-764

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

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

661-690

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

517-568

Core Challenges in Embodied Vision-Language Planning

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

459-515

Ordinal Maximin Share Approximation for Goods

Hadi Hosseini, Andrew Searns, Erel Segal-Halevi

353–391

Adaptive Greedy versus Non-adaptive Greedy for Influence Maximization

Wei Chen, Binghui Peng, Grant Schoenebeck, Biaoshuai Tao

303-351

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

263-301

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

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

227–261

Proactive Dynamic Distributed Constraint Optimization Problems

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

179-225

Avoiding Negative Side Effects of Autonomous Systems in the Open World

Sandhya Saisubramanian , Ece Kamar, Shlomo Zilberstein

143-177

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

111-142

Multi-Agent Advisor Q-Learning

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

1-74

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