Surveys | Journal of Artificial Intelligence Research

This page includes survey papers published in JAIR. All survey articles undergo the same rigorous review process as regular research articles, and are held to the same standards of significance, relevance, and technical and expository quality. Each entry in this table of contents provides links to an individual article and its appendices (if any):

The Human in Interactive Machine Learning: Analysis and Perspectives for Ambient Intelligence

Kevin Delcourt, Sylvie Trouilhet, Jean-Paul Arcangeli, and Françoise Adreit

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

Jayanta Mandi, James Kotary, Senne Berden, Maxime Mulamba, Victor Bucarey, Tias Guns, and Ferdinando Fioretto

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

Moschoula Pternea, Prerna Singh, Abir Chakraborty, Yagna Oruganti, Mirco Milletari, Sayli Bapat, Kebei Jiang

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

Emanuele La Malfa, Aleksandar Petrov, Simon Frieder, Christoph Weinhuber, Ryan Burnell, Raza Nazar, Anthony Cohn, Nigel Shadbolt, and Michael Wooldridge

Mixed Fair Division: A Survey

Shengxin Liu, Xinhang Lu, Mashbat Suzuki, and Toby Walsh

Computational Argumentation-based Chatbots: a Survey

Federico Castagna, Nadin Kökciyan, Isabel Sassoon, Simon Parsons, and Elizabeth Sklar

Methods for Recovering Conditional Independence Graphs: A Survey

Harsh Shrivastava and Urszula Chajewska

Structure in Deep Reinforcement Learning: A Survey and Open Problems

Aditya Mohan, Amy Zhang, and Marius Lindauer

Learning to Resolve Social Dilemmas: A Survey

Shaheen Fatima, Nicholas R. Jennings, Michael Wooldridge

Multi-Objective Reinforcement Learning Based on Decomposition: A Taxonomy and Framework

Florian Felten, El-Ghazali Talbi, and Grégoire Danoy

Reinforcement Learning for Generative AI: State of the Art, Opportunities and Open Research Challenges

Giorgio Franceschelli and Mirco Musolesi

Human-in-the-Loop Reinforcement Learning: A Survey and Position on Requirements, Challenges, and Opportunities

Carl Orge Retzlaff, Srijita Das, Christabel Wayllace, Payam Mousavi, Mohammad Afshari, Tianpei Yang, Anna Saranti, Alessa Angerschmid, Matthew E. Taylor, and Andreas Holzinger

Visually Grounded Language Learning: A Review of Language Games, Datasets, Tasks, and Models

Alessandro Suglia, Ioannis Konstas, and Oliver Lemon

A Survey of Learning Criteria Going Beyond the Usual Risk

Matthew J. Holland and Kazuki Tanabe

A Comprehensive Survey on Deep Graph Representation Learning Methods

Ijeoma Amuche Chikwendu, Xiaoling Zhang, Isaac Osei Agyemang, Isaac Adjei-Mensah, Ukwuoma Chiagoziem Chima and Chukwuebuka Joseph Ejiyi

Amortized Variational Inference: A Systematic Review

Ankush Ganguly, Sanjana Jain and Ukrit Watchareeruetai

Prediction of Social Dynamic Agents and Long-Tailed Learning Challenges: A Survey

Divya Thuremella and Lars Kunze

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 Guha Thakurta

The Complexity of Matching Games: A Survey

Marton Benedek, Peter Biro, Matthew Johnson, Daniel Paulusma and Xin Ye

Towards Green Automated Machine Learning: Status Quo and Future Directions

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

Repairing the Cracked Foundation: A Survey of Obstacles in Evaluation Practices for Generated Text

Sebastian Gehrmann, Elizabeth Clark, and Thibault Sellam

An Overview of Environmental Features that Impact Deep Reinforcement Learning in Sparse-Reward Domains

Jim Martin Catacora Ocana, Roberto Capobianco, and Daniele Nardi

Reviewer Assignment Problem: A Systematic Review of the Literature

Meltem Aksoy, Seda Yanik, and Mehmet Fatih Amasyali

A Survey of Zero-shot Generalisation in Deep Reinforcement Learning

Robert Kirk, Amy Zhang, Edward Grefenstette, and Tim Rocktäschel

A Survey on Understanding and Representing Privacy Requirements in the Internet-of-Things

Gideon Ogunniye and Nadin Kokciyan

Towards Continual Reinforcement Learning: A Review and Perspectives

Khimya Khetarpal, Matthew Riemer, Irina Rish and Doina Precup

Creative Problem Solving in Artificially Intelligent Agents: A Survey and Framework

Evana Gizzi, Lakshmi Nair, Sonia Chernova, and Jivko Sinapov

A Survey of Methods for Automated Algorithm Configuration

Elias Schede, Jasmin Brandt, Alexander Tornede, Marcel Wever, Viktor Bengs, Eyke Hüllermeier, Kevin Tierney

Domain Adaptation and Multi-Domain Adaptation for Neural Machine Translation: A Survey

Danielle Saunders

sEMG-Based Upper Limb Movement Classifier: Current Scenario and Upcoming Challenges

Maurício Cagliari Tosin, Juliano Costa Machado and Alexandre Balbinot

Crossing the Conversational Chasm: A Primer on Natural Language Processing for Multilingual Task-Oriented Dialogue Systems

Evgeniia Razumovskaia, Goran Glavas, Olga Majewska, Edoardo M. Ponti, Anna Korhonen and Ivan Vulic

Autotelic Agents with Intrinsically Motivated Goal-Conditioned Reinforcement Learning: A Short Survey

Cédric Colas, Tristan Karch, Olivier Sigaud and Pierre-Yves Oudeyer

A Comprehensive Framework for Learning Declarative Action Models

Diego Aineto, Sergio Jiménez and Eva Onaindia

Inductive Logic Programming At 30: A New Introduction

Andrew Cropper and Sebastijan Dumančić

Automated Reinforcement Learning (AutoRL): A Survey and Open Problems

Jack Parker-Holder, Raghu Rajan, Xingyou Song, André Biedenkapp, Yingjie Miao, Theresa Eimer, Baohe Zhang, Vu Nguyen, Roberto Calandra, Aleksandra Faust, Frank Hutter and Marius Lindauer

Core Challenges in Embodied Vision-Language Planning

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

Rethinking Fairness: An Interdisciplinary Survey of Critiques of Hegemonic ML Fairness Approaches

Lindsay Weinberg

The Application of Machine Learning Techniques for Predicting Match Results in Team Sport: A Review

Rory Bunker and Teo Susnjak

Neural Natural Language Generation: A Survey on Multilinguality, Multimodality, Controllability and Learning

Erkut Erdem, Menekse Kuyu, Semih Yagcioglu, Anette Frank, Letitia Parcalabescu, Barbara Plank, Andrii Babii, Oleksii Turuta, Aykut Erdem, Iacer Calixto, Elena Lloret, Elena-Simona Apostol, Ciprian-Octavian Truică, Branislava Šandrih, Sanda Martinčić-Ipšić, Gábor Berend, Albert Gatt and Grăzina Korvel

Survey and Evaluation of Causal Discovery Methods for Time Series

Charles K. Assaad, Emilie Devijver and Eric Gaussier

Visually Grounded Models of Spoken Language: A Survey of Datasets, Architectures and Evaluation Techniques

Grzegorz Chrupała

Explainable Deep Learning: A Field Guide for the Uninitiated

Gabrielle Ras, Ning Xie, Marcel van Gerven and Derek Doran

A Survey of Opponent Modeling in Adversarial Domains

Samer Nashed and Shlomo Zilberstein

Learning from Disagreement: A Survey

Alexandra N. Uma, Tommaso Fornaciari, Dirk Hovy, Silviu Paun, Barbara Plank and Massimo Poesio

Quantum Mathematics in Artificial Intelligence

Dominic Widdows, Kirsty Kitto and Trevor Cohen

Graph Kernels: A Survey

Giannis Nikolentzos, Giannis Siglidis and Michalis Vazirgiannis

Experimental Comparison and Survey of Twelve Time Series Anomaly Detection Algorithms

Cynthia Freeman, Jonathan Merriman, Ian Beaver and Abdullah Mueen

A Survey of Algorithms for Black-Box Safety Validation of Cyber-Physical Systems

Anthony Corso, Robert J. Moss, Mark Koren, Ritchie Lee and Mykel J. Kochenderfer

A Theoretical Perspective on Hyperdimensional Computing

Anthony Thomas, Sanjoy Dasgupta and Tajana Rosing

Trends in Integration of Vision and Language Research: A Survey of Tasks, Datasets, and Methods

Aditya Mogadala, Marimuthu Kalimuthu and Dietrich Klakow

Set-to-Sequence Methods in Machine Learning: A Review

Mateusz Jurewicz and Leon Derczynski

Confronting Abusive Language Online: A Survey from the Ethical and Human Rights Perspective

Svetlana Kiritchenko, Isar Nejadgholi, and Kathleen C. Fraser

Game Plan: What AI can do for Football, and What Football can do for AI

Karl Tuyls, Shayegan Omidshafiei, Paul Muller, Zhe Wang, Jerome Connor, Daniel Hennes, Ian Graham, William Spearman, Tim Waskett, Dafydd Steel, Pauline Luc, Adria Recasens, Alexandre Galashov, Gregory Thornton, Romuald Elie, Pablo Sprechmann, Pol Moreno, Kris Cao, Marta Garnelo, Praneet Dutta, Michal Valko, Nicolas Heess, Alex Bridgland, Julien Pérolat, Bart De Vylder, S. M. Ali Eslami, Mark Rowland, Andrew Jaegle, Remi Munos, Trevor Back, Razia Ahamed, Simon Bouton, Nathalie Beauguerlange, Jackson Broshear, Thore Graepel and Demis Hassabis

Efficient Retrieval of Matrix Factorization-Based Top-k Recommendations: A Survey of Recent Approaches

Dung D. Le and Hady Lauw

Constrained Multiagent Markov Decision Processes: a Taxonomy of Problems and Algorithms

Frits de Nijs, Erwin Walraven, Mathijs M. de Weerdt and Matthijs T. J. Spaan

Classifier Chains: A Review and Perspectives

Jesse Read, Bernhard Pfahringer, Geoffrey Holmes and Eibe Frank

Benchmark and Survey of Automated Machine Learning Frameworks

Marc-André Zöller and Marco F. Huber

A Survey on the Explainability of Supervised Machine Learning

Nadia Burkart and Marco F. Huber

Deep Reinforcement Learning: A State-of-the-Art Walkthrough

Aristotelis Lazaridis, Anestis Fachantidis, and Ioannis Vlahavas

Adapting Behavior via Intrinsic Reward: A Survey and Empirical Study

Cam Linke, Nadia M. Ady, Martha White, Thomas Degris and Adam White

Reviewing Autoencoders for Missing Data Imputation: Technical Trends, Applications and Outcomes

Ricardo Cardoso Pereira, Miriam Seoane Santos, Pedro Pereira Rodrigues and Pedro Henriques Abreu

Mapping the landscape of Artificial Intelligence applications against COVID-19

Joseph Bullock, Alexandra Luccioni, Katherine Hoffman Pham, Cynthia Sin Nga Lam and Miguel Luengo-Oroz

Neural Machine Translation: A Review

Felix Stahlberg

A Survey on Temporal Reasoning for Temporal Information Extraction from Text

Artuur Leeuwenberg and Marie-Francine Moens

Automatic Language Identification in Texts: A Survey

Tommi Sakari Jauhiainen, Marco Lui, Marcos Zampieri, Timothy Baldwin and Krister Lindén

A Survey of Cross-lingual Word Embedding Models

Sebastian Ruder, Ivan Vulić and Anders Søgaard

A Survey on Transfer Learning for Multiagent Reinforcement Learning Systems

Felipe Leno Da Silva and Anna Helena Reali Costa

State-Space Abstractions for Probabilistic Inference: A Systematic Review

Stefan Lüdtke, Max Schröder, Frank Krüger, Sebastian Bader and Thomas Kirste

From Word To Sense Embeddings: A Survey on Vector Representations of Meaning

Jose Camacho-Collados and Mohammad Taher Pilehvar

A Review of Inference Algorithms for Hybrid Bayesian Networks

Antonio Salmerón, Rafael Rumí, Helge Langseth, Thomas D. Nielsen and Anders L. Madsen

Distributed Constraint Optimization Problems and Applications: A Survey

Ferdinando Fioretto, Enrico Pontelli and William Yeo

Survey of the State of the Art in Natural Language Generation: Core Tasks, Applications and Evaluation

Albert Gatt and Emiel Krahmer

A Survey on Lexical Simplification

Gustavo H. Paetzold and Lucia Specia

Logical Formalizations of Commonsense Reasoning: A Survey

Ernest Davis

The Price of Anarchy in Auctions

Tim Roughgarden, Vasilis Syrgkanis and Eva Tardos

A Model-Theoretic View on Qualitative Constraint Reasoning

Manuel Bodirsky and Peter Jonsson

A Survey of Computational Treatments of Biomolecules by Robotics-Inspired Methods Modeling Equilibrium Structure and Dynamic

Amarda Shehu and Erion Plaku

A Primer on Neural Network Models for Natural Language Processing

Yoav Goldberg

Automatic Description Generation from Images: A Survey of Models, Datasets, and Evaluation Measures

Raffaella Bernardi, Ruket Cakici, Desmond Elliott, Aykut Erdem, Erkut Erdem, Nazli Ikizler-Cinbis, Frank Keller, Adrian Muscat, and Barbara Plank

Evolutionary Dynamics of Multi-Agent Learning: A Survey

Daan Bloembergen, Karl Tuyls, Daniel Hennes, and Michael Kaisers

Tutorial on Structured Continuous-Time Markov Processes

C. R. Shelton, and G. Ciardo

AI Methods in Algorithmic Composition: A Comprehensive Survey

J.D. Fernandez and F. Vico

A Survey of Multi-Objective Sequential Decision-Making

D. M. Roijers, P. Vamplew, S. Whiteson, and R. Dazeley

A Survey on Latent Tree Models and Applications

R. Mourad, C. Sinoquet, N. L. Zhang, T. Liu, P. Leray

Transforming Graph Data for Statistical Relational Learning

R. A. Rossi, L. K. McDowell, and D. W. Aha, J. Neville

A Tutorial on Dual Decomposition and Lagrangian Relaxation for Inference in Natural Language Processing

A. M. Rush, M. J. Collins

A Survey of Paraphrasing and Textual Entailment Methods

I. Androutsopoulos, P. Malakasiotis

From Frequency to Meaning: Vector Space Models of Semantics

P. D. Turney, P. Pantel

Generalizing Boolean Satisfiability I: Background and Survey of Existing Work

H. E. Dixon, M. L. Ginsberg, A. J. Parkes

Reinforcement Learning: A Survey

L. P. Kaelbling, M. L. Littman, A. W. Moore

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