Journal of Artificial Intelligence Research

Papers
(The median citation count of Journal of Artificial Intelligence Research is 1. 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
Non-Crossing Anonymous MAPF for Tethered Robots23
Maintenance of Plan Libraries for Case-Based Planning: Offline and Online Policies23
Maximisation of Admissible Multi-Objective Heuristics23
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
Approximating Perfect Recall when Model Checking Strategic Abilities: Theory and Applications17
Practical Parallel Algorithms for Non-Monotone Submodular Maximization17
Flexible Bayesian Nonlinear Model Configuration16
Optimality Guarantees for Particle Belief Approximation of POMDPs16
Structure in Deep Reinforcement Learning: A Survey and Open Problems16
Planning with Critical Section Macros: Theory and Practice16
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
Graph Kernels: A Survey9
Asymptotics of K-Fold Cross Validation9
On Dynamics in Structured Argumentation Formalisms9
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
Pure Nash Equilibria in Resource Graph Games8
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems8
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
Playing Codenames with Language Graphs and Word Embeddings7
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
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
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
Two-phase Multi-document Event Summarization on Core Event Graphs6
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
Scalable Primal Heuristics Using Graph Neural Networks for Combinatorial Optimization6
Solving the Watchman Route Problem with Heuristic Search6
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
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
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
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
Enhanced Recommendation Systems with Retrieval-Augmented Large Language Model3
Effi3
Learning Optimal Decision Sets and Lists with SAT3
Multilabel Classification with Partial Abstention: Bayes-Optimal Prediction under Label Independence3
Existence, Computation and Efficiency of Nash Stable Outcomes in Hedonic Skill Games3
Planted Dense Subgraphs in Dense Random Graphs Can Be Recovered using Graph-based Machine Learning3
The Application of Machine Learning Techniques for Predicting Match Results in Team Sport: A Review3
The Complexity of Subelection Isomorphism Problems3
Towards Trustworthy AI-Enabled Decision Support Systems: Validation of the Multisource AI Scorecard Table (MAST)3
A New Regret-analysis Framework for Budgeted Multi-Armed Bandits3
AI Reliance and Decision Quality: Fundamentals, Interdependence, and the Effects of Interventions3
Improving the Effectiveness and Efficiency of Stochastic Neighbour Embedding with Isolation Kernel3
Communication-Aware Local Search for Distributed Constraint Optimization3
Instance-Level Update in DL-Lite Ontologies through First-Order Rewriting3
Viewpoint: Hybrid Intelligence Supports Application Development for Diabetes Lifestyle Management3
Recursion in Abstract Argumentation is Hard --- On the Complexity of Semantics Based on Weak Admissibility3
Better Decision Heuristics in CDCL through Local Search and Target Phases3
Fairness in Influence Maximization through Randomization3
On the Tractability of SHAP Explanations3
Improving Mutual Information Based Feature Selection by Boosting Unique Relevance3
Efficient Ontology-Mediated Query Answering: Extending DL-liteR and Linear ELH3
The State of Computer Vision Research in Africa3
Weighted, Circular and Semi-Algebraic Proofs3
Strategy Graphs for Influence Diagrams3
Exploiting Action Impact Regularity and Exogenous State Variables for Offline Reinforcement Learning3
Repairing the Cracked Foundation: A Survey of Obstacles in Evaluation Practices for Generated Text3
Threshold Treewidth and Hypertree Width3
A Semi-exact Algorithm for Quickly Computing A Maximum Weight Clique in Large Sparse Graphs3
The AI Liability Puzzle and A Fund-Based Work-Around2
CPM-based Hierarchical Text Classification2
SAlign: A Graph Neural Attention Framework for Aligning Structurally Heterogeneous Networks2
Evaluating Strategic Structures in Multi-Agent Inverse Reinforcement Learning2
Removing Bias and Incentivizing Precision in Peer-grading2
Optimally Deceiving a Learning Leader in Stackelberg Games2
An Overview of Environmental Features that Impact Deep Reinforcement Learning in Sparse-Reward Domains2
Expressing and Exploiting Subgoal Structure in Classical Planning Using Sketches2
Neural Character-Level Syntactic Parsing for Chinese2
Declarative Algorithms and Complexity Results for Assumption-Based Argumentation2
Computing Pareto-Optimal and Almost Envy-Free Allocations of Indivisible Goods2
An Algorithm with Improved Complexity for Pebble Motion/Multi-Agent Path Finding on Trees2
Learning Bayesian Networks Under Sparsity Constraints: A Parameterized Complexity Analysis2
Finding the Hardest Formulas for Resolution2
Query-driven Qualitative Constraint Acquisition2
Analysis of the Impact of Randomization of Search-Control Parameters in Monte-Carlo Tree Search2
sunny-as2: Enhancing SUNNY for Algorithm Selection2
Get out of the BAG! Silos in AI Ethics Education: Unsupervised Topic Modeling Analysis of Global AI Curricula2
Low-Rank Representation of Reinforcement Learning Policies2
AAN+: Generalized Average Attention Network for Accelerating Neural Transformer2
Amortized Variational Inference: A Systematic Review2
Improving Resource Allocations by Sharing in Pairs2
Forgetting in Abstract Argumentation: Limits and Possibilities2
Complexity of Computing the Shapley Value in Partition Function Form Games2
Altruistic Hedonic Games2
A Few Queries Go a Long Way: Information-Distortion Tradeoffs in Matching2
Creative Problem Solving in Artificially Intelligent Agents: A Survey and Framework2
Evolutionary Dynamics and Phi-Regret Minimization in Games2
Stackelberg Security Games with Contagious Attacks on a Network: Reallocation to the Rescue2
Interpretable Local Concept-based Explanation with Human Feedback to Predict All-cause Mortality2
A Benchmark Study on Knowledge Graphs Enrichment and Pruning Methods in the Presence of Noisy Relationships2
Contract Scheduling with Predictions2
General Policies, Subgoal Structure, and Planning Width2
On Mitigating the Utility-Loss in Differentially Private Learning: A New Perspective by a Geometrically Inspired Kernel Approach1
The Complexity of Network Satisfaction Problems for Symmetric Relation Algebras with a Flexible Atom1
Performative Ethics From Within the Ivory Tower: How CS Practitioners Uphold Systems of Oppression1
Reasoning about Decidability of Strategic Logics with Imperfect Information and Perfect Recall Strategies1
Equivalence in Argumentation Frameworks with a Claim-centric View: Classical Results with Novel Ingredients1
Computational Benefits of Intermediate Rewards for Goal-Reaching Policy Learning1
The Goal after Tomorrow: Offline Goal Reasoning with Norms1
Selfishly Prepaying in Financial Credit Networks1
MDP Playground: An Analysis and Debug Testbed for Reinforcement Learning1
Image Captioning as an Assistive Technology: Lessons Learned from VizWiz 2020 Challenge1
sEMG-Based Upper Limb Movement Classifier: Current Scenario and Upcoming Challenges1
Introduction to the Special Track on Artificial Intelligence and COVID-191
Learning Realistic Patterns from Visually Unrealistic Stimuli: Generalization and Data Anonymization1
Cross-domain Constituency Parsing by Leveraging Heterogeneous Data1
FlexiBO: A Decoupled Cost-Aware Multi-Objective Optimization Approach for Deep Neural Networks1
Socially Responsible AI Algorithms: Issues, Purposes, and Challenges1
Multiobjective Tree-Structured Parzen Estimator1
Online Relaxation Refinement for Satisficing Planning: On Partial Delete Relaxation, Complete Hill-Climbing, and Novelty Pruning1
Bt-GAN: Generating Fair Synthetic Healthdata via Bias-transforming Generative Adversarial Networks1
Task-Aware Verifiable RNN-Based Policies for Partially Observable Markov Decision Processes1
Fair and Efficient Allocation of Scarce Resources Based on Predicted Outcomes: Implications for Homeless Service Delivery1
Sequence-Oriented Diagnosis of Discrete-Event Systems1
On Tackling Explanation Redundancy in Decision Trees1
The Human in Interactive Machine Learning: Analysis and Perspectives for Ambient Intelligence1
Reward Machines: Exploiting Reward Function Structure in Reinforcement Learning1
A Divide, Align and Conquer Strategy For Program Synthesis1
A Tight Bound for Stochastic Submodular Cover1
FlexiBERT: Are Current Transformer Architectures too Homogeneous and Rigid?1
Collective Belief Revision1
Goal Recognition for Deceptive Human Agents through Planning and Gaze1
Laplace-HDC: Understanding the Geometry of Binary Hyperdimensional Computing1
Flexible FOND Planning with Explicit Fairness Assumptions1
Symbolic Task Inference in Deep Reinforcement Learning1
Negative Human Rights as a Basis for Long-term AI Safety and Regulation1
Fair Division of Indivisible Goods for a Class of Concave Valuations1
Mixed Fair Division: A Survey1
DeepSym: Deep Symbol Generation and Rule Learning for Planning from Unsupervised Robot Interaction1
Does CLIP Know My Face?1
FactGen: Faithful Text Generation by Factuality-aware Pre-training and Contrastive Ranking Fine-tuning1
Visualizing the Implicit Model Selection Tradeoff1
Unifying SAT-Based Approaches to Maximum Satisfiability Solving1
Teaching People by Justifying Tree Search Decisions: An Empirical Study in Curling1
RWNE: A Scalable Random-Walk based Network Embedding Framework with Personalized Higher-order Proximity Preserved1
Pricing Problems with Buyer Preselection1
A Logic of East and West1
Optimizing for Interpretability in Deep Neural Networks with Tree Regularization1
Your College Dorm and Dormmates: Fair Resource Sharing with Externalities1
A Word Selection Method for Producing Interpretable Distributional Semantic Word Vectors1
Actor Prioritized Experience Replay1
Automatic Recognition of the General-Purpose Communicative Functions Defined by the ISO 24617-2 Standard for Dialog Act Annotation1
Ranking Sets of Objects: The Complexity of Avoiding Impossibility Results1
Declarative Approaches to Outcome Determination in Judgment Aggregation1
Multi-Objective Reinforcement Learning Based on Decomposition: A Taxonomy and Framework1
Bias Mitigation Methods: Applicability, Legality, and Recommendations for Development1
Classes of Hard Formulas for QBF Resolution1
Expected 1.x Makespan-Optimal Multi-Agent Path Finding on Grid Graphs in Low Polynomial Time1
Trends in Integration of Vision and Language Research: A Survey of Tasks, Datasets, and Methods1
QCDCL vs QBF Resolution: Further Insights1
Preserving Fairness in AI under Domain Shift1
Learning to Resolve Social Dilemmas: A Survey1
Game Plan: What AI can do for Football, and What Football can do for AI1
A Survey on Understanding and Representing Privacy Requirements in the Internet-of-Things1
Generating Random SAT Instances: Multiple Solutions could be Predefined and Deeply Hidden1
Mimicking Behaviors in Separated Domains1
Learning Logic Specifications for Policy Guidance in POMDPs: an Inductive Logic Programming Approach1
Efficient Multi-Goal Reinforcement Learning via Value Consistency Prioritization1
Computational Short Cuts in Infinite Domain Constraint Satisfaction1
0.077873945236206