研飞ivySCI (青藤学术）

Journal of Artificial Intelligence Research

短名	jair
Journal Impact	4.54
国际分区	COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE(Q2)
期刊索引	SCI Q2中科院 3 区

ISSN	1076-9757, 1943-5037
h-index	136
国内分区	计算机科学(3区)计算机科学计算机人工智能(3区)

JAIR(ISSN 1076 - 9757) 涵盖了人工智能 (AI) 的所有领域，发表了经过评审的研究文章、调查文章和技术说明。 JAIR 成立于 1993 年，是最早的电子科学期刊之一，已被 INSPEC、SCIENCE CITATION INDEX 和 MATHSCINET 检索。 JAIR 在提交后大约三个月内审查论文，并在收到最终版本后立即在互联网上发布被接受的文章。 JAIR 文章由 AI ACCESS FOUNDATION 在互联网上免费发布，并由 AAAI PRESS 以装订本的形式购买。

期刊主页投稿网址

涉及主题	计算机科学数学人工智能哲学程序设计语言认识论工程类经济算法统计机器学习理论计算机科学数学优化生物物理操作系统数学分析语言学组合数学离散数学
出版信息	出版商: Morgan Kaufmann Publishers, Inc.，出版周期: Irregular，期刊类型: journal
基本数据	创刊年份: 1996，原创研究文献占比: 97.39%，自引率:2.20%， Gold OA占比: 1.33%
平均审稿周期	网友分享经验：较慢,6-12周
平均录用比例	网友分享经验：容易

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Understanding What Affects the Generalization Gap in Visual Reinforcement Learning: Theory and Empirical Evidence

2024-9-11

Separating and Collapsing Electoral Control Types

2024-9-11

The State of Computer Vision Research in Africa

2024-9-11

Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future Opportunities

2024-8-31

The Goal after Tomorrow: Offline Goal Reasoning with Norms

2024-8-31

Scalable Distributed Algorithms for Size-Constrained Submodular Maximization in the MapReduce and Adaptive Complexity Models

2024-8-27

Language-Models-as-a-Service: Overview of a New Paradigm and its Challenges

2024-8-26

The RL/LLM Taxonomy Tree: Reviewing Synergies Between Reinforcement Learning and Large Language Models

2024-8-26

MallobSat: Scalable SAT Solving by Clause Sharing

2024-8-18

The Complexity of Subelection Isomorphism Problems

2024-8-10

Mixed Fair Division: A Survey

2024-8-10

Probabilities of the Third Type: Statistical Relational Learning and Reasoning with Relative Frequencies

2024-8-10

Towards Trustworthy AI-Enabled Decision Support Systems: Validation of the Multisource AI Scorecard Table (MAST)

2024-8-2

From Single-Objective to Bi-Objective Maximum Satisfiability Solving

2024-8-2

Computational Argumentation-based Chatbots: A Survey

2024-8-2

A Hybrid Intelligence Method for Argument Mining

2024-7-31

Tackling Cooperative Incompatibility for Zero-Shot Human-AI Coordination

2024-7-23

Symbolic Task Inference in Deep Reinforcement Learning

2024-7-23

On the Convergence of Swap Dynamics to Pareto-Optimal Matchings

2024-7-11

Does CLIP Know My Face?

2024-7-8

Viewpoint: Hybrid Intelligence Supports Application Development for Diabetes Lifestyle Management

2024-7-7

Unifying SAT-Based Approaches to Maximum Satisfiability Solving

2024-7-7

Axiomatization of Non-Recursive Aggregates in First-Order Answer Set Programming

2024-7-7

SAT-based Decision Tree Learning for Large Data Sets

2024-7-3

Individual Fairness, Base Rate Tracking and the Lipschitz Condition

2024-6-28

Simulating Counterfactuals

2024-6-27

Counting Complexity for Reasoning in Abstract Argumentation

2024-6-23

Robust Average-Reward Reinforcement Learning

2024-6-16

Using Constraint Propagation to Bound Linear Programs

2024-6-15

The TOAD System for Totally Ordered HTN Planning

2024-6-13

Best of Both Worlds: Agents with Entitlements

2024-6-11

Methods for Recovering Conditional Independence Graphs: A Survey

2024-6-11

Computing Unsatisfiable Cores for LTLf Specifications

2024-6-11

General Policies, Subgoal Structure, and Planning Width

2024-6-9

Exploiting Contextual Target Attributes for Target Sentiment Classification

2024-6-9

Mitigating Value Hallucination in Dyna-Style Planning via Multistep Predecessor Models

2024-6-9

On the Trade-off between Redundancy and Cohesiveness in Extractive Summarization

2024-6-6

Similarity-Based Adaptation for Task-Aware and Task-Free Continual Learning

2024-6-6

Scalable Primal Heuristics Using Graph Neural Networks for Combinatorial Optimization

2024-6-6

Understanding Sample Generation Strategies for Learning Heuristic Functions in Classical Planning

2024-6-2

Expressing and Exploiting Subgoal Structure in Classical Planning Using Sketches

2024-5-31

Block Domain Knowledge-Driven Learning of Chain Graphs Structure

2024-5-31

Effectiveness of Tree-based Ensembles for Anomaly Discovery: Insights, Batch and Streaming Active Learning

2024-5-23

Experimental Design of Extractive Question-Answering Systems: Influence of Error Scores and Answer Length

2024-5-23

Computing Pareto-Optimal and Almost Envy-Free Allocations of Indivisible Goods

2024-5-10

Estimating Agent Skill in Continuous Action Domains

2024-5-10

Bt-GAN: Generating Fair Synthetic Healthdata via Bias-transforming Generative Adversarial Networks

2024-4-25

Collision Avoiding Max-Sum for Mobile Sensor Teams

2024-4-22

Structure in Deep Reinforcement Learning: A Survey and Open Problems

2024-4-21

USN: A Robust Imitation Learning Method against Diverse Action Noise

2024-4-21

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Journal of Artificial Intelligence Research

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最新文章

Understanding What Affects the Generalization Gap in Visual Reinforcement Learning: Theory and Empirical Evidence

Separating and Collapsing Electoral Control Types

The State of Computer Vision Research in Africa

Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future Opportunities

The Goal after Tomorrow: Offline Goal Reasoning with Norms

Scalable Distributed Algorithms for Size-Constrained Submodular Maximization in the MapReduce and Adaptive Complexity Models

Language-Models-as-a-Service: Overview of a New Paradigm and its Challenges

The RL/LLM Taxonomy Tree: Reviewing Synergies Between Reinforcement Learning and Large Language Models

MallobSat: Scalable SAT Solving by Clause Sharing

The Complexity of Subelection Isomorphism Problems

Mixed Fair Division: A Survey

Probabilities of the Third Type: Statistical Relational Learning and Reasoning with Relative Frequencies

Towards Trustworthy AI-Enabled Decision Support Systems: Validation of the Multisource AI Scorecard Table (MAST)

From Single-Objective to Bi-Objective Maximum Satisfiability Solving

Computational Argumentation-based Chatbots: A Survey

A Hybrid Intelligence Method for Argument Mining

Tackling Cooperative Incompatibility for Zero-Shot Human-AI Coordination

Symbolic Task Inference in Deep Reinforcement Learning

On the Convergence of Swap Dynamics to Pareto-Optimal Matchings

Does CLIP Know My Face?

Viewpoint: Hybrid Intelligence Supports Application Development for Diabetes Lifestyle Management

Unifying SAT-Based Approaches to Maximum Satisfiability Solving

Axiomatization of Non-Recursive Aggregates in First-Order Answer Set Programming

SAT-based Decision Tree Learning for Large Data Sets

Individual Fairness, Base Rate Tracking and the Lipschitz Condition

Simulating Counterfactuals

Counting Complexity for Reasoning in Abstract Argumentation

Robust Average-Reward Reinforcement Learning

Using Constraint Propagation to Bound Linear Programs

The TOAD System for Totally Ordered HTN Planning

Best of Both Worlds: Agents with Entitlements

Methods for Recovering Conditional Independence Graphs: A Survey

Computing Unsatisfiable Cores for LTLf Specifications

General Policies, Subgoal Structure, and Planning Width

Exploiting Contextual Target Attributes for Target Sentiment Classification

Mitigating Value Hallucination in Dyna-Style Planning via Multistep Predecessor Models

On the Trade-off between Redundancy and Cohesiveness in Extractive Summarization

Similarity-Based Adaptation for Task-Aware and Task-Free Continual Learning

Scalable Primal Heuristics Using Graph Neural Networks for Combinatorial Optimization

Understanding Sample Generation Strategies for Learning Heuristic Functions in Classical Planning

Expressing and Exploiting Subgoal Structure in Classical Planning Using Sketches

Block Domain Knowledge-Driven Learning of Chain Graphs Structure

Effectiveness of Tree-based Ensembles for Anomaly Discovery: Insights, Batch and Streaming Active Learning

Experimental Design of Extractive Question-Answering Systems: Influence of Error Scores and Answer Length

Computing Pareto-Optimal and Almost Envy-Free Allocations of Indivisible Goods

Estimating Agent Skill in Continuous Action Domains

Bt-GAN: Generating Fair Synthetic Healthdata via Bias-transforming Generative Adversarial Networks

Collision Avoiding Max-Sum for Mobile Sensor Teams

Structure in Deep Reinforcement Learning: A Survey and Open Problems

USN: A Robust Imitation Learning Method against Diverse Action Noise

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