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 2021-06-01 to 2025-06-01.)
ArticleCitations
Optimality Guarantees for Particle Belief Approximation of POMDPs192
Practical Parallel Algorithms for Non-Monotone Submodular Maximization178
Combinatorial Multi-Armed Bandits with Fairness Constraints: An Online Convex Optimization Perspective116
Flexible Bayesian Nonlinear Model Configuration102
Graph Kernels: A Survey89
Can We Automate Scientific Reviewing?80
Quantization Aware Factorization for Deep Neural Network Compression79
Certified Knowledge Compilation with Application to Formally Verified Model Counting77
Composition and Zero-Shot Transfer with Lattice Structures in Reinforcement Learning74
Enhanced Recommendation Systems with Retrieval-Augmented Large Language Model62
Viewpoint: Artificial Intelligence Accidents Waiting to Happen?62
AI Reliance and Decision Quality: Fundamentals, Interdependence, and the Effects of Interventions57
A General Model for Aggregating Annotations Across Simple, Complex, and Multi-Object Annotation Tasks57
Learning Optimal Decision Sets and Lists with SAT53
Improving the Effectiveness and Efficiency of Stochastic Neighbour Embedding with Isolation Kernel52
Data-Driven Revision of Conditional Norms in Multi-Agent Systems47
Visually Grounded Models of Spoken Language: A Survey of Datasets, Architectures and Evaluation Techniques46
Strategy Graphs for Influence Diagrams45
Uncertainty as a Fairness Measure44
Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future Opportunities41
Program Synthesis with Best-First Bottom-Up Search40
Domain-Specific Heuristics in Answer Set Programming: A Declarative Non-Monotonic Approach38
Scalable Primal Heuristics Using Graph Neural Networks for Combinatorial Optimization37
The State of Computer Vision Research in Africa36
Iterative Train Scheduling under Disruption with Maximum Satisfiability31
Fairness in Influence Maximization through Randomization31
Low-Rank Representation of Reinforcement Learning Policies29
Threshold Treewidth and Hypertree Width29
Evolutionary Dynamics and Phi-Regret Minimization in Games28
Image Captioning as an Assistive Technology: Lessons Learned from VizWiz 2020 Challenge28
Stackelberg Security Games with Contagious Attacks on a Network: Reallocation to the Rescue24
Performative Ethics From Within the Ivory Tower: How CS Practitioners Uphold Systems of Oppression23
Experimental Design of Extractive Question-Answering Systems: Influence of Error Scores and Answer Length21
FlexiBERT: Are Current Transformer Architectures too Homogeneous and Rigid?21
An Overview of Environmental Features that Impact Deep Reinforcement Learning in Sparse-Reward Domains20
Flexible FOND Planning with Explicit Fairness Assumptions19
The Complexity of Network Satisfaction Problems for Symmetric Relation Algebras with a Flexible Atom19
Introduction to the Special Track on Artificial Intelligence and COVID-1919
On Expected Value Strong Controllability18
Learning to Design Fair and Private Voting Rules18
Fair and Efficient Allocation of Scarce Resources Based on Predicted Outcomes: Implications for Homeless Service Delivery18
Classes of Hard Formulas for QBF Resolution18
Expected 1.x Makespan-Optimal Multi-Agent Path Finding on Grid Graphs in Low Polynomial Time18
Initialization of Feature Selection Search for Classification17
Learning to Resolve Social Dilemmas: A Survey17
Boolean Observation Games16
Certified Dominance and Symmetry Breaking for Combinatorial Optimisation16
Finite Materialisability of Datalog Programs with Metric Temporal Operators16
Confronting Abusive Language Online: A Survey from the Ethical and Human Rights Perspective16
Worst-case Bounds on Power vs. Proportion in Weighted Voting Games with an Application to False-name Manipulation15
Predicting Decisions in Language Based Persuasion Games14
CADS: A Systematic Literature Review on the Challenges of Abstractive Dialogue Summarization12
SAMBA: A Generic Framework for Secure Federated Multi-Armed Bandits12
On the Indecisiveness of Kelly-Strategyproof Social Choice Functions12
Digraph k-Coloring Games: New Algorithms and Experiments12
Methods for Recovering Conditional Independence Graphs: A Survey12
On the Convergence of Swap Dynamics to Pareto-Optimal Matchings12
Proof Theory and Decision Procedures for Deontic STIT Logics11
MRC and Transfer Learning Framework for Document-level Event Factuality Identification with Heterogeneous Spectral Attention Networks11
Quantum Mathematics in Artificial Intelligence11
Ordinal Maximin Share Approximation for Goods11
Estimating Agent Skill in Continuous Action Domains11
Opening the Analogical Portal to Explainability: Can Analogies Help Laypeople in AI-assisted Decision Making?10
Reinforcement Learning for Generative AI: State of the Art, Opportunities and Open Research Challenges10
Multi-Modal Attentive Prompt Learning for Few-shot Emotion Recognition in Conversations10
Fine-grained Prediction of Political Leaning on Social Media with Unsupervised Deep Learning10
Fair Influence Maximization in Large-scale Social Networks Based on Attribute-aware Reverse Influence Sampling10
Proactive Dynamic Distributed Constraint Optimization Problems10
Impact of Imputation Strategies on Fairness in Machine Learning10
Ethics and Governance of Artificial Intelligence: Evidence from a Survey of Machine Learning Researchers10
From Single-Objective to Bi-Objective Maximum Satisfiability Solving9
Detecting AI-Generated Text: Factors Influencing Detectability with Current Methods9
Value Preferences Estimation and Disambiguation in Hybrid Participatory Systems9
Diagnosing AI Explanation Methods with Folk Concepts of Behavior9
Crossing the Conversational Chasm: A Primer on Natural Language Processing for Multilingual Task-Oriented Dialogue Systems9
Exploiting Functional Constraints in Automatic Dominance Breaking for Constraint Optimization9
Human-in-the-Loop Reinforcement Learning: A Survey and Position on Requirements, Challenges, and Opportunities8
Reinforcement Learning from Optimization Proxy for Ride-Hailing Vehicle Relocation8
Finding and Recognizing Popular Coalition Structures8
Maximisation of Admissible Multi-Objective Heuristics8
Robust Control for Dynamical Systems with Non-Gaussian Noise via Formal Abstractions8
TOOLTANGO: Common sense Generalization in Predicting Sequential Tool Interactions for Robot Plan Synthesis8
On the Evaluation of (Meta-)solver Approaches8
A Markov Framework for Learning and Reasoning About Strategies in Professional Soccer8
Non-Crossing Anonymous MAPF for Tethered Robots8
An Oracle-Guided Approach to Constrained Policy Synthesis Under Uncertainty8
Core Challenges in Embodied Vision-Language Planning7
Inductive Logic Programming At 30: A New Introduction7
A Principled Distributional Approach to Trajectory Similarity Measurement and its Application to Anomaly Detection7
Principles and their Computational Consequences for Argumentation Frameworks with Collective Attacks7
Doubly Robust Crowdsourcing7
On the Parallel Parameterized Complexity of MaxSAT Variants7
Adversarial Framework with Certified Robustness for Time-Series Domain via Statistical Features7
How to Tell Easy from Hard: Complexities of Conjunctive Query Entailment in Extensions of ALC7
Mean-Semivariance Policy Optimization via Risk-Averse Reinforcement Learning7
Qualitative Reasoning about 2D Cardinal Directions using Answer Set Programming7
Decentralized Gradient-Quantization Based Matrix Factorization for Fast Privacy-Preserving Point-of-Interest Recommendation6
Automatically Finding the Right Probabilities in Bayesian Networks6
Computational Machine Ethics: A Survey6
Semantic Alignment of Malicious Question Based on Contrastive Semantic Networks and Data Augmentation6
Prediction of Social Dynamic Agents and Long-Tailed Learning Challenges: A Survey6
Viewpoint: Hybrid Intelligence Supports Application Development for Diabetes Lifestyle Management6
Joint Optimization of Concave Scalarized Multi-Objective Reinforcement Learning with Policy Gradient Based Algorithm6
Pure Nash Equilibria in Resource Graph Games6
On Dynamics in Structured Argumentation Formalisms6
The Complexity of Subelection Isomorphism Problems6
The Complexity of Matching Games: A Survey5
An Algorithm with Improved Complexity for Pebble Motion/Multi-Agent Path Finding on Trees5
Mixed Fair Division: A Survey5
Finding the Hardest Formulas for Resolution5
Neural Character-Level Syntactic Parsing for Chinese5
Improving Mutual Information Based Feature Selection by Boosting Unique Relevance5
Forgetting in Abstract Argumentation: Limits and Possibilities5
Information Lattice Learning5
Analysis of the Impact of Randomization of Search-Control Parameters in Monte-Carlo Tree Search5
Actor Prioritized Experience Replay5
Amortized Variational Inference: A Systematic Review5
On Mitigating the Utility-Loss in Differentially Private Learning: A New Perspective by a Geometrically Inspired Kernel Approach5
Against The Achilles' Heel: A Survey on Red Teaming for Generative Models5
Bt-GAN: Generating Fair Synthetic Healthdata via Bias-transforming Generative Adversarial Networks5
Task-Aware Verifiable RNN-Based Policies for Partially Observable Markov Decision Processes5
Multi-Label Classification Neural Networks with Hard Logical Constraints4
Multi-Agent Advisor Q-Learning4
conDENSE: Conditional Density Estimation for Time Series Anomaly Detection4
DeepSym: Deep Symbol Generation and Rule Learning for Planning from Unsupervised Robot Interaction4
Towards Evidence Retrieval Cost Reduction in Abstract Argumentation Frameworks with Fallible Evidence4
Computing Unsatisfiable Cores for LTLf Specifications4
Towards Robust Offline-to-Online Reinforcement Learning via Uncertainty and Smoothness4
Approximate Counting of Linear Extensions in Practice4
Automatic Recognition of the General-Purpose Communicative Functions Defined by the ISO 24617-2 Standard for Dialog Act Annotation4
Symbolic Search for Cost-Optimal Planning with Expressive Model Extensions4
Can Fairness be Automated? Guidelines and Opportunities for Fairness-aware AutoML4
Scalable Neural-Probabilistic Answer Set Programming4
Separating and Collapsing Electoral Control Types4
Efficient and Fair Healthcare Rationing4
sEMG-Based Upper Limb Movement Classifier: Current Scenario and Upcoming Challenges4
Counting Complexity for Reasoning in Abstract Argumentation4
Synthesis and Properties of Optimally Value-Aligned Normative Systems4
Agent-Based Modeling for Predicting Pedestrian Trajectories Around an Autonomous Vehicle4
Jointly Learning Environments and Control Policies with Projected Stochastic Gradient Ascent4
Optimal and Efficient Auctions for the Gradual Procurement of Strategic Service Provider Agents3
Tackling Cooperative Incompatibility for Zero-Shot Human-AI Coordination3
Deciding FO-rewritability of Regular Languages and Ontology-Mediated Queries in Linear Temporal Logic3
Effi3
Generative Curricula for Multi-Agent Path Finding via Unsupervised and Reinforcement Learning3
Mitigating Value Hallucination in Dyna-Style Planning via Multistep Predecessor Models3
Explainable Deep Learning: A Field Guide for the Uninitiated3
Empirical Game Theoretic Analysis: A Survey3
Best of Both Worlds: Agents with Entitlements3
Fairness in Forecasting of Observations of Linear Dynamical Systems3
Individual Fairness, Base Rate Tracking and the Lipschitz Condition3
Efficient Ontology-Mediated Query Answering: Extending DL-liteR and Linear ELH3
A Survey of Methods for Automated Algorithm Configuration3
Stability in Online Coalition Formation3
Constraint Solving Approaches to the Business-to-Business Meeting Scheduling Problem3
MallobSat: Scalable SAT Solving by Clause Sharing3
Admissibility in Probabilistic Argumentation3
A Survey of Algorithms for Black-Box Safety Validation of Cyber-Physical Systems3
Marginal Distance and Hilbert-Schmidt Covariances-Based Independence Tests for Multivariate Functional Data3
Satisfiability Modulo User Propagators3
Object-agnostic Affordance Categorization via Unsupervised Learning of Graph Embeddings3
The Computational Complexity of ReLU Network Training Parameterized by Data Dimensionality3
Improving Reproducibility in AI Research: Four Mechanisms Adopted by JAIR3
Maintenance of Plan Libraries for Case-Based Planning: Offline and Online Policies3
Path-Planning on a Spherical Surface with Disturbances and Exclusion Zones3
Exploiting Cultural Biases via Homoglyphs in Text-to-Image Synthesis3
Multi-Document Summarization with Determinantal Point Process Attention3
Multi-Objective Reinforcement Learning Based on Decomposition: A Taxonomy and Framework2
From Knowledge to Action: Logics of Permitted and Obligatory Announcements2
Preserving Fairness in AI under Domain Shift2
AAN+: Generalized Average Attention Network for Accelerating Neural Transformer2
The RL/LLM Taxonomy Tree: Reviewing Synergies Between Reinforcement Learning and Large Language Models2
Query-driven Qualitative Constraint Acquisition2
Approximate Implication for Probabilistic Graphical Models2
Right Place, Right Time: Proactive Multi-Robot Task Allocation Under Spatiotemporal Uncertainty2
Trends in Integration of Vision and Language Research: A Survey of Tasks, Datasets, and Methods2
Solving Overlapping Coalition Structure Generation in Task-Based Settings2
Dimensional Inconsistency Measures and Postulates in Spatio-Temporal Databases2
Improving Resource Allocations by Sharing in Pairs2
Learning Bayesian Networks Under Sparsity Constraints: A Parameterized Complexity Analysis2
Election Manipulation on Social Networks: Seeding, Edge Removal, Edge Addition2
Merge-and-Shrink: A Compositional Theory of Transformations of Factored Transition Systems2
Declarative Approaches to Outcome Determination in Judgment Aggregation2
Motion Planning Under Uncertainty with Complex Agents and Environments via Hybrid Search2
Declarative Algorithms and Complexity Results for Assumption-Based Argumentation2
CPM-based Hierarchical Text Classification2
The TOAD System for Totally Ordered HTN Planning2
General Policies, Subgoal Structure, and Planning Width2
Understanding Sample Generation Strategies for Learning Heuristic Functions in Classical Planning2
Multilabel Classification with Partial Abstention: Bayes-Optimal Prediction under Label Independence2
Reward Machines: Exploiting Reward Function Structure in Reinforcement Learning2
Communication-Aware Local Search for Distributed Constraint Optimization2
A Benchmark Study on Knowledge Graphs Enrichment and Pruning Methods in the Presence of Noisy Relationships2
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems2
On the Complexity of Finding Set Repairs for Data-Graphs2
Collective Belief Revision2
QCDCL vs QBF Resolution: Further Insights2
Exploiting Action Impact Regularity and Exogenous State Variables for Offline Reinforcement Learning2
Sequence-Oriented Diagnosis of Discrete-Event Systems2
TOMA: Computational Theory of Mind with Abstractions for Hybrid Intelligence2
Recursion in Abstract Argumentation is Hard --- On the Complexity of Semantics Based on Weak Admissibility2
Coopetition Against an Amazon2
Existence, Computation and Efficiency of Nash Stable Outcomes in Hedonic Skill Games2
Cross-domain Constituency Parsing by Leveraging Heterogeneous Data2
Towards Trustworthy AI-Enabled Decision Support Systems: Validation of the Multisource AI Scorecard Table (MAST)2
Playing Codenames with Language Graphs and Word Embeddings2
Repairing the Cracked Foundation: A Survey of Obstacles in Evaluation Practices for Generated Text2
Teaching People by Justifying Tree Search Decisions: An Empirical Study in Curling2
Bribery and Control in Stable Marriage2
Detecting Change Intervals with Isolation Distributional Kernel1
Evaluating Strategic Structures in Multi-Agent Inverse Reinforcement Learning1
Two-phase Multi-document Event Summarization on Core Event Graphs1
Language-Models-as-a-Service: Overview of a New Paradigm and its Challenges1
A Survey of Opponent Modeling in Adversarial Domains1
On the Phase Transition of the Euclidean Travelling Salesman Problem with Time Windows1
A Tight Bound for Stochastic Submodular Cover1
Creative Problem Solving in Artificially Intelligent Agents: A Survey and Framework1
Negative Human Rights as a Basis for Long-term AI Safety and Regulation1
On the Consistency between Belief Revision and Belief Update1
Weighted, Circular and Semi-Algebraic Proofs1
Towards Continual Reinforcement Learning: A Review and Perspectives1
Experimental Comparison and Survey of Twelve Time Series Anomaly Detection Algorithms1
PAC-Chernoff Bounds: Understanding Generalization in the Interpolation Regime1
CASA: Conversational Aspect Sentiment Analysis for Dialogue Understanding1
Relevance in Belief Update1
A Few Queries Go a Long Way: Information-Distortion Tradeoffs in Matching1
A Practical Approach to Discretised PDDL+ Problems by Translation to Numeric Planning1
Output Space Entropy Search Framework for Multi-Objective Bayesian Optimization1
Reasoning about Decidability of Strategic Logics with Imperfect Information and Perfect Recall Strategies1
Objective Bayesian Nets for Integrating Consistent Datasets1
Confidence-based Estimators for Predictive Performance in Model Monitoring1
A Divide, Align and Conquer Strategy For Program Synthesis1
Learning Realistic Patterns from Visually Unrealistic Stimuli: Generalization and Data Anonymization1
A Fortiori Case-Based Reasoning: From Theory to Data1
Decentralized, Decomposition-Based Observation Scheduling for a Large-Scale Satellite Constellation1
Better Decision Heuristics in CDCL through Local Search and Target Phases1
A Scoping Study on AI Affordances in Early Childhood Education: Mapping the Global Landscape, Identifying Research Gaps, and Charting Future Research Directions1
Your College Dorm and Dormmates: Fair Resource Sharing with Externalities1
A Model to Support Collective Reasoning: Formalization, Analysis and Computational Assessment1
Equivalence in Argumentation Frameworks with a Claim-centric View: Classical Results with Novel Ingredients1
Solving the Watchman Route Problem with Heuristic Search1
AI Governance in the GCC States: A Comparative Analysis of National AI Strategies1
Goal Recognition for Deceptive Human Agents through Planning and Gaze1
Get out of the BAG! Silos in AI Ethics Education: Unsupervised Topic Modeling Analysis of Global AI Curricula1
Competitive Equilibria with a Constant Number of Chores1
Selfishly Prepaying in Financial Credit Networks1
Contract Scheduling with Predictions1
EpidemiOptim: A Toolbox for the Optimization of Control Policies in Epidemiological Models1
Principles for Responsible AI Consciousness Research1
The LM-Cut Heuristic Family for Optimal Numeric Planning with Simple Conditions1
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