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

Threshold Treewidth and Hypertree Width

Robert Ganian, Andre Schidler, Manuel Sorge, Stefan Szeider


Classical Planning in Deep Latent Space

Masataro Asai, Hiroshi Kajino, Alex Fukunaga, Christian Muise


Better Decision Heuristics in CDCL through Local Search and Target Phases

Shaowei Cai, Xindi Zhang, Mathias Fleury, Armin Biere


Improving Simulated Annealing for Clique Partitioning Problems

Jian Gao, Yiqi Lv, Minghao Liu, Shaowei Cai, Feifei Ma


Metric-Distortion Bounds under Limited Information

Ioannis Anagnostides, Dimitris Fotakis, Panagiotis Patsilinakos


Crossing the Conversational Chasm: A Primer on Natural Language Processing for Multilingual Task-Oriented Dialogue Systems

Evgeniia Razumovskaia, Goran Glavas, Olga Majewska, Edoardo M. Ponti, Anna Korhonen, Ivan Vulic


HEBO: Pushing The Limits of Sample-Efficient Hyper-parameter Optimisation

Alexander I. Cowen-Rivers, Wenlong Lyu , Rasul Tutunov , Zhi Wang, Antoine Grosnit, Ryan Rhys Griffiths , Alexandre Max Maraval, Hao Jianye, Jun Wang, Jan Peters, Haitham Bou-Ammar


Autotelic Agents with Intrinsically Motivated Goal-Conditioned Reinforcement Learning: A Short Survey

Cédric Colas, Tristan Karch, Olivier Sigaud, Pierre-Yves Oudeyer


Evolutionary Dynamics and Phi-Regret Minimization in Games

Georgios Piliouras, Mark Rowland, Shayegan Omidshafiei, Romuald Elie, Daniel Hennes, Jerome Connor, Karl Tuyls


A Comprehensive Framework for Learning Declarative Action Models

Diego Aineto, Sergio Jiménez, Eva Onaindia


Supervised Visual Attention for Simultaneous Multimodal Machine Translation

Veneta Haralampieva, Ozan Caglayan, Lucia Specia


Two-phase Multi-document Event Summarization on Core Event Graphs

Zengjian Chen, Jin Xu, Meng Liao, Tong Xue, Kun He


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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