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. 84 (2025)

Published: 2025-09-02

Towards a Robust Persistence Diagram via Data-dependent Kernel

Hang Zhang, Kaifeng Zhang, Kai Ming Ting, Ye Zhu

Mechanisms of Symbol Processing for In-Context Learning in Transformer Networks

Paul Smolensky, Roland Fernandez, Zhenghao Herbert Zhou, Mattia Opper, Adam Davies, Jianfeng Gao

Scaling Safe Policy Improvement: Monte Carlo Tree Search and Policy Iteration Strategies

Federico Bianchi, Alberto Castellini, Edoardo Zorzi, Thiago D. Simão, Matthijs T. J. Spaan, Alessandro Farinelli

Prioritised Planning: Completeness, Optimality, and Complexity

Jonathan Morag, Yue Zhang, Daniel Koyfman, Zhe Chen, Ariel Felner, Daniel Harabor, Roni Stern

Improving Label Error Detection and Elimination with Uncertainty Quantification

Johannes Jakubik, Michael Vössing, Manil Maskey, Christopher Wölfle, Gerhard Satzger

Generating Streamlining Constraints with Large Language Models

Florentina Voboril, Vaidyanathan Peruvemba Ramaswamy, Stefan Szeider

Reasoning over Streams of Events with Delayed Effects

Periklis Mantenoglou, Manolis Pitsikalis, Alexander Artikis

Recency-Weighted Temporally-Segmented Ensemble for Time Series Modeling

Pål V. B. Johnsen, Eivind Bøhn, Sølve Eidnes, Filippo Remonato, Signe Riemer-Sørensen

Finding Minimal Plan Reductions Using Classical Planning

Mauricio Salerno, Raquel Fuentetaja, Jendrik Seipp

Thousands of AI Authors on the Future of AI

Katja Grace, Julia Fabienne Sandkühler, Harlan Stewart, Benjamin Weinstein-Raun, Stephen Thomas, Zach Stein-Perlman, John Salvatier, Jan Brauner, Richard C. Korzekwa

On a Simple Hedonic Game with Graph-Restricted Communication

Vittorio Bilò, Laurent Gourvès, Jérôme Monnot

Optimal Decision Trees for Interpretable and Constrained Clustering

Pouya Shati, Yuliang Song, Eldan Cohen, Sheila A. McIlraith

On Generating Monolithic and Model Reconciling Explanations in Probabilistic Scenarios

Stylianos Loukas Vasileiou, William Yeoh, Alessandro Previti, Tran Cao Son

Robust Reward Design for Markov Decision Processes

Shuo Wu, Haoxiang Ma, Jie Fu, Shuo Han

A Graphical Formalism for Reasoning about Substitution in Resource Transforming Procedures

Antonis Bikakis, Fabio Aurelio D'Asaro, Aissatou Diallo, Luke Dickens, Anthony Hunter, Rob Miller
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