Journal of Artificial Intelligence Research

Papers
(The TQCC of Journal of Artificial Intelligence Research is 4. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-04-01 to 2025-04-01.)
ArticleCitations
Liability Regimes in the Age of AI: a Use-Case Driven Analysis of the Burden of Proof351
The Computational Complexity of ReLU Network Training Parameterized by Data Dimensionality179
Labeled Bipolar Argumentation Frameworks138
On Centralized Critics in Multi-Agent Reinforcement Learning106
A Metric Space for Point Process Excitations90
Marginal Distance and Hilbert-Schmidt Covariances-Based Independence Tests for Multivariate Functional Data84
Prosociality in Microtransit72
A Portfolio Approach to Massively Parallel Bayesian Optimization67
Control by Adding or Deleting Edges in Graph-Restricted Weighted Voting Games66
Hierarchical Decompositions and Termination Analysis for Generalized Planning65
Favoring Eagerness for Remaining Items: Designing Efficient, Fair, and Strategyproof Mechanisms58
Path Counting for Grid-Based Navigation56
Relevance in Belief Update56
An Oracle-Guided Approach to Constrained Policy Synthesis Under Uncertainty46
Adversarial Framework with Certified Robustness for Time-Series Domain via Statistical Features46
The Jiminy Advisor: Moral Agreements among Stakeholders Based on Norms and Argumentation45
Fairness in Forecasting of Observations of Linear Dynamical Systems45
Constraint Solving Approaches to the Business-to-Business Meeting Scheduling Problem42
Probabilities of the Third Type: Statistical Relational Learning and Reasoning with Relative Frequencies40
Reasoning with PCP-Nets37
Efficient Learning of Interpretable Classification Rules36
Qualitative Reasoning about 2D Cardinal Directions using Answer Set Programming34
Can We Automate Scientific Reviewing?33
Tackling Cooperative Incompatibility for Zero-Shot Human-AI Coordination32
Reinforcement Learning from Optimization Proxy for Ride-Hailing Vehicle Relocation29
Mining ℰℒ⊥ Bases with Adaptable Role Depth27
On the Evaluation of (Meta-)solver Approaches27
Robust Average-Reward Reinforcement Learning27
A Survey of Learning Criteria Going Beyond the Usual Risk24
Maximisation of Admissible Multi-Objective Heuristics23
Non-Crossing Anonymous MAPF for Tethered Robots23
Maintenance of Plan Libraries for Case-Based Planning: Offline and Online Policies23
Classical Planning in Deep Latent Space22
On the Parallel Parameterized Complexity of MaxSAT Variants21
Optimal and Efficient Auctions for the Gradual Procurement of Strategic Service Provider Agents20
Measuring Fairness Under Unawareness of Sensitive Attributes: A Quantification-Based Approach19
Representative Committees of Peers18
Practical Parallel Algorithms for Non-Monotone Submodular Maximization17
Approximating Perfect Recall when Model Checking Strategic Abilities: Theory and Applications17
Planning with Critical Section Macros: Theory and Practice16
Flexible Bayesian Nonlinear Model Configuration16
Optimality Guarantees for Particle Belief Approximation of POMDPs16
Structure in Deep Reinforcement Learning: A Survey and Open Problems16
Set-to-Sequence Methods in Machine Learning: A Review14
Undesirable Biases in NLP: Addressing Challenges of Measurement14
Maximal Combinations of Fairness Definitions13
Best of Both Worlds: Agents with Entitlements13
TOOLTANGO: Common sense Generalization in Predicting Sequential Tool Interactions for Robot Plan Synthesis13
Mitigating Value Hallucination in Dyna-Style Planning via Multistep Predecessor Models12
Exploiting Contextual Target Attributes for Target Sentiment Classification12
Automated Dynamic Algorithm Configuration11
Principles and their Computational Consequences for Argumentation Frameworks with Collective Attacks11
QNLP in Practice: Running Compositional Models of Meaning on a Quantum Computer11
Finding and Recognizing Popular Coalition Structures11
Reviewer Assignment Problem: A Systematic Review of the Literature11
Core Challenges in Embodied Vision-Language Planning11
A Principled Distributional Approach to Trajectory Similarity Measurement and its Application to Anomaly Detection10
Inductive Logic Programming At 30: A New Introduction10
Path-Planning on a Spherical Surface with Disturbances and Exclusion Zones10
A Survey of Methods for Automated Algorithm Configuration10
Combinatorial Multi-Armed Bandits with Fairness Constraints: An Online Convex Optimization Perspective10
On Dynamics in Structured Argumentation Formalisms9
Graph Kernels: A Survey9
Asymptotics of K-Fold Cross Validation9
Pure Nash Equilibria in Resource Graph Games8
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems8
Competitive Equilibria with a Constant Number of Chores8
EpidemiOptim: A Toolbox for the Optimization of Control Policies in Epidemiological Models8
Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future Opportunities8
Dimensional Inconsistency Measures and Postulates in Spatio-Temporal Databases8
Playing Codenames with Language Graphs and Word Embeddings7
CoLLIE: Continual Learning of Language Grounding from Language-Image Embeddings7
Object-agnostic Affordance Categorization via Unsupervised Learning of Graph Embeddings7
Visually Grounded Language Learning: A Review of Language Games, Datasets, Tasks, and Models7
Viewpoint: Ethical By Designer - How to Grow Ethical Designers of Artificial Intelligence7
The LM-Cut Heuristic Family for Optimal Numeric Planning with Simple Conditions7
CASA: Conversational Aspect Sentiment Analysis for Dialogue Understanding7
Improving Reproducibility in AI Research: Four Mechanisms Adopted by JAIR7
Optimal Any-Angle Pathfinding on a Sphere7
An Extensive Empirical Evaluation of Inferring Preconditions and Effects of Compound Tasks in Ground HTN Planning Problems6
Uncertainty as a Fairness Measure6
On the Computational Complexity of Non-Dictatorial Aggregation6
Scalable Primal Heuristics Using Graph Neural Networks for Combinatorial Optimization6
Solving the Watchman Route Problem with Heuristic Search6
Semantic Alignment of Malicious Question Based on Contrastive Semantic Networks and Data Augmentation6
Quantization Aware Factorization for Deep Neural Network Compression6
Chance-constrained Static Schedules for Temporally Probabilistic Plans6
Domain-Specific Heuristics in Answer Set Programming: A Declarative Non-Monotonic Approach6
Visually Grounded Models of Spoken Language: A Survey of Datasets, Architectures and Evaluation Techniques6
Efficient Local Search based on Dynamic Connectivity Maintenance for Minimum Connected Dominating Set6
Viewpoint: Artificial Intelligence Accidents Waiting to Happen?6
Satisfiability Modulo User Propagators6
Two-phase Multi-document Event Summarization on Core Event Graphs6
Exploring the Tradeoff Between System Profit and Income Equality Among Ride-hailing Drivers5
Cultural Bias in Explainable AI Research: A Systematic Analysis5
Doubly Robust Crowdsourcing5
Automatically Finding the Right Probabilities in Bayesian Networks5
Mean-Semivariance Policy Optimization via Risk-Averse Reinforcement Learning5
Deciding FO-rewritability of Regular Languages and Ontology-Mediated Queries in Linear Temporal Logic5
Graphmax for Text Generation5
Welfare Guarantees in Schelling Segregation5
Computational Machine Ethics: A Survey5
Data-Driven Revision of Conditional Norms in Multi-Agent Systems5
Individual Fairness, Base Rate Tracking and the Lipschitz Condition5
A Fortiori Case-Based Reasoning: From Theory to Data5
On Quantifying Literals in Boolean Logic and its Applications to Explainable AI5
How to Tell Easy from Hard: Complexities of Conjunctive Query Entailment in Extensions of ALC5
A General Model for Aggregating Annotations Across Simple, Complex, and Multi-Object Annotation Tasks4
Right Place, Right Time: Proactive Multi-Robot Task Allocation Under Spatiotemporal Uncertainty4
Experimental Comparison and Survey of Twelve Time Series Anomaly Detection Algorithms4
Language-Models-as-a-Service: Overview of a New Paradigm and its Challenges4
Steady-State Planning in Expected Reward Multichain MDPs4
Iterative Train Scheduling under Disruption with Maximum Satisfiability4
The Complexity of Matching Games: A Survey4
Proofs and Certificates for Max-SAT4
Agent-Based Markov Modeling for Improved COVID-19 Mitigation Policies4
Incremental Event Calculus for Run-Time Reasoning4
On the Cluster Admission Problem for Cloud Computing4
Decentralized Gradient-Quantization Based Matrix Factorization for Fast Privacy-Preserving Point-of-Interest Recommendation4
Program Synthesis with Best-First Bottom-Up Search4
Joint Optimization of Concave Scalarized Multi-Objective Reinforcement Learning with Policy Gradient Based Algorithm4
Prediction of Social Dynamic Agents and Long-Tailed Learning Challenges: A Survey4
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