JAIR

Fairness Through Counterfactual Utilities

Jack Blandin, Ian Kash

Journal ref Journal of Artificial Intelligence Research 78 (2023) 747-780

Diagnosing AI Explanation Methods with Folk Concepts of Behavior

Alon Jacovi, Jasmijn Bastings, Sebastian Gehrmann, Yoav Goldberg, Katja Filippova

Comments Accepted to JAIR (Vol. 78, 2023)

Journal ref Journal of Artificial Intelligence Research 73 (2023) 459-489

Select and Augment: Enhanced Dense Retrieval Knowledge Graph Augmentation

Micheal Abaho, Yousef H. Alfaifi

Comments Article has already been puclished to Journal of Artificial Intelligence Research (JAIR)

Journal ref Journal of Artificial Intelligence Research, 78, 2023, 269-285

Amortized Variational Inference: A Systematic Review

Ankush Ganguly, Sanjana Jain, Ukrit Watchareeruetai

Comments Accepted for publication at the Journal of Artificial Intelligence Research (JAIR)

Journal ref J.Artif.Intell.Res.Vol.78(2023)167-215

Optimality Guarantees for Particle Belief Approximation of POMDPs

Michael H. Lim, Tyler J. Becker, Mykel J. Kochenderfer, Claire J. Tomlin, Zachary N. Sunberg

Journal ref Journal of Artificial Intelligence Research, 77, 1591-1636 (2023)

Program Synthesis with Best-First Bottom-Up Search

Saqib Ameen, Levi H. S. Lelis

Comments Published at the Journal of Artificial Intelligence Research (JAIR)

Promoting Generalized Cross-lingual Question Answering in Few-resource Scenarios via Self-knowledge Distillation

Casimiro Pio Carrino, Carlos Escolano, José A. R. Fonollosa

Comments Submitted to the Journal of Artificial Intelligence Research (JAIR)

Improved Peel-and-Bound: Methods for Generating Dual Bounds with Multivalued Decision Diagrams

Isaac Rudich, Quentin Cappart, Louis-Martin Rousseau

Comments 50 pages, 31 figures, published by JAIR, supplementary materials at https://github.com/IsaacRudich/ImprovedPnB. arXiv admin note: substantial text overlap with arXiv:2205.05216

Journal ref Journal of Artificial Intelligence Research, 77:1489-1538 (2023)

Certified Symmetry and Dominance Breaking for Combinatorial Optimisation

Bart Bogaerts, Stephan Gocht, Ciaran McCreesh, Jakob Nordström

Comments This paper was published in the Journal of Artificial Intelligence Research https://doi.org/10.1613/jair.1.14296 It is an extended version of our (equally-named) paper to appear in the proceedings of AAAI 2022 https://ojs.aaai.org/index.php/AAAI/article/view/20283

Journal ref Journal of Artificial Intelligence Research, volume 77: pages 1539-1589, 2023

Automaton-Based Representations of Task Knowledge from Generative Language Models

Yunhao Yang, Jean-Raphaël Gaglione, Cyrus Neary, Ufuk Topcu

Comments Submitted to JAIR

How to DP-fy ML: A Practical Guide to Machine Learning with Differential Privacy

Natalia Ponomareva, Hussein Hazimeh, Alex Kurakin, Zheng Xu, Carson Denison, H. Brendan McMahan, Sergei Vassilvitskii, Steve Chien, Abhradeep Thakurta

Journal ref Journal of Artificial Intelligence Research 77 (2023) 1113-1201

MDP Playground: An Analysis and Debug Testbed for Reinforcement Learning

Raghu Rajan, Jessica Lizeth Borja Diaz, Suresh Guttikonda, Fabio Ferreira, André Biedenkapp, Jan Ole von Hartz, Frank Hutter

Comments Same version as the one published in JAIR Vol. 77 (2023)

Journal ref Journal of Artificial Intelligence Research 77 (2023) 821-890

The Jiminy Advisor: Moral Agreements Among Stakeholders Based on Norms and Argumentation

Beishui Liao, Pere Pardo, Marija Slavkovik, Leendert van der Torre

Comments Accepted for publication with JAIR

Journal ref Journal of Artificial Intelligence Research 77: 737 - 792 (2023)

Your College Dorm and Dormmates: Fair Resource Sharing with Externalities

Jiarui Gan, Bo Li, Yingkai Li

Comments accepted in JAIR 2023

Journal ref Journal.of.Artificial.Intelligence.Research.77(2023)793-820

Hierarchical Decomposition and Analysis for Generalized Planning

Siddharth Srivastava

Comments Accepted for publication at JAIR

The Complexity of Matching Games: A Survey

Márton Benedek, Péter Biró, Matthew Johnson, Daniël Paulusma, Xin Ye

Journal ref Journal Of Artificial Intelligence Research, Volume 77, pages 459-485, 2023

Towards Green Automated Machine Learning: Status Quo and Future Directions

Tanja Tornede, Alexander Tornede, Jonas Hanselle, Marcel Wever, Felix Mohr, Eyke Hüllermeier

Comments Published in Journal of Artificial Intelligence Research

Fairness in Forecasting of Observations of Linear Dynamical Systems

Quan Zhou, Jakub Marecek, Robert N. Shorten

Comments Journal version of Zhou et al. [arXiv:2006.07315, AAAI 2021]

Journal ref Journal of Artificial Intelligence Research, Volume 76, 2023

Exploiting Action Impact Regularity and Exogenous State Variables for Offline Reinforcement Learning

Vincent Liu, James R. Wright, Martha White

Journal ref Journal of Artificial Intelligence Research, 77 (2023) 71-101

QNLP in Practice: Running Compositional Models of Meaning on a Quantum Computer

Robin Lorenz, Anna Pearson, Konstantinos Meichanetzidis, Dimitri Kartsaklis, Bob Coecke

Comments 38 pages

Journal ref Journal of Artificial Intelligence Research Vol. 76 (2023), 1305-1342

Measuring Fairness Under Unawareness of Sensitive Attributes: A Quantification-Based Approach

Alessandro Fabris, Andrea Esuli, Alejandro Moreo, Fabrizio Sebastiani

Comments Accepted for publication in the Journal of Artificial Intelligence Research

Journal ref Journal of Artificial Intelligence Research (JAIR) 76 (2023) 1117-1180

Negative Human Rights as a Basis for Long-term AI Safety and Regulation

Ondrej Bajgar, Jan Horenovsky

Journal ref Journal of Artificial Intelligence Research 76 (2023) 1043-1075

Object-agnostic Affordance Categorization via Unsupervised Learning of Graph Embeddings

Alexia Toumpa, Anthony G. Cohn

Comments Accepted at Journal of Artificial Intelligence Research (JAIR)

Core Challenges in Embodied Vision-Language Planning

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

Comments Extended Abstract accepted to the 32nd International Joint Conference on Artificial Intelligence (IJCAI 2023); special journal track for authors of published JAIR 2022 and AIJ 2022 papers. 6 pages, 2 figures. arXiv admin note: substantial text overlap with arXiv:2106.13948

Reviewer Assignment Problem: A Systematic Review of the Literature

Meltem Aksoy, Seda Yanik, Mehmet Fatih Amasyali

Comments 67 pages, 11 figures

Journal ref Journal of Artificial Intelligence Research 76 (2023) 761-827

On the evaluation of (meta-)solver approaches

Roberto Amadini, Maurizio Gabbrielli, Tong Liu, Jacopo Mauro

Journal ref Journal of Artificial Intelligence Research. 76 (2023) 705-719

sunny-as2: Enhancing SUNNY for Algorithm Selection

Tong Liu, Roberto Amadini, Jacopo Mauro, Maurizio Gabbrielli

Journal ref Journal of Artificial Intelligence Research. 72 (2021) 329-376

Liability regimes in the age of AI: a use-case driven analysis of the burden of proof

David Fernández Llorca, Vicky Charisi, Ronan Hamon, Ignacio Sánchez, Emilia Gómez

Comments Paper published at the Journal of Artificial Intelligence Research

Journal ref Journal of Artificial Intelligence Research, Vol. 76 (2023), pp. 613-644

Mean-Semivariance Policy Optimization via Risk-Averse Reinforcement Learning

Xiaoteng Ma, Shuai Ma, Li Xia, Qianchuan Zhao

Comments Accecpted by Journal of Artificial Intelligence Research

Journal ref Journal of Artificial Intelligence Research 75 (2022) 569-595

Multi-Agent Advisor Q-Learning

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

Comments Paper has been accepted to Journal of Artificial Intelligence Research (JAIR). Please refer to https://jair.org/index.php/jair/article/view/13445 for JAIR version. The most recent version includes two illustrative figures that pictorially describes the settings of the two algorithms (i.e., ADMIRAL-DM and ADMIRAL-AE)