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ORCIDJournal of Artificial Intelligence Research, Volume 80
Volume 80, 2024
- Jugal Garg, Aniket Murhekar:
Computing Pareto-Optimal and Almost Envy-Free Allocations of Indivisible Goods. 1-25 - Christopher Archibald, Delma Nieves-Rivera:
Estimating Agent Skill in Continuous Action Domains. 27-86 - Amer Farea, Frank Emmert-Streib
:
Experimental Design of Extractive Question-Answering Systems: Influence of Error Scores and Answer Length. 87-125 - Shubhomoy Das, Md. Rakibul Islam, Nitthilan Kannappan Jayakodi, Janardhan Rao Doppa:
Effectiveness of Tree-based Ensembles for Anomaly Discovery: Insights, Batch and Streaming Active Learning. 127-170 - Dominik Drexler, Jendrik Seipp, Hector Geffner:
Expressing and Exploiting Subgoal Structure in Classical Planning Using Sketches. - Shujing Yang, Fuyuan Cao:
Block Domain Knowledge-Driven Learning of Chain Graphs Structure. 209-242 - Rafael Vales Bettker, Pedro Minini, André G. Pereira, Marcus Ritt:
Understanding Sample Generation Strategies for Learning Heuristic Functions in Classical Planning. 243-271 - Ronald Cardenas, Matthias Galle, Shay B. Cohen:
On the Trade-off between Redundancy and Cohesiveness in Extractive Summarization. 273-326 - Furkan Cantürk, Taha Varol, Reyhan Aydogan, Okan Örsan Özener:
Scalable Primal Heuristics Using Graph Neural Networks for Combinatorial Optimization. 327-376 - Tameem Adel:
Similarity-Based Adaptation for Task-Aware and Task-Free Continual Learning. 377-417 - Johannes Klaus Fichte, Markus Hecher, Arne Meier:
Counting Complexity for Reasoning in Abstract Argumentation. - Bowen Xing, Ivor W. Tsang:
Exploiting Contextual Target Attributes for Target Sentiment Classification. 419-439 - Farzane Aminmansour, Taher Jafferjee, Ehsan Imani, Erin J. Talvitie, Michael Bowling, Martha White:
Mitigating Value Hallucination in Dyna-Style Planning via Multistep Predecessor Models. 441-473 - Blai Bonet, Hector Geffner:
General Policies, Subgoal Structure, and Planning Width. 475-516 - Marco Roveri, Claudio Di Ciccio, Chiara Di Francescomarino, Chiara Ghidini:
Computing Unsatisfiable Cores for LTLf Specifications. 517-558 - Martin Hoefer, Marco Schmalhofer, Giovanna Varricchio:
Best of Both Worlds: Agents with Entitlements. 559-591 - Harsh Shrivastava, Urszula Chajewska:
Methods for Recovering Conditional Independence Graphs: A Survey. 593-612 - Daniel Höller:
The TOAD System for Totally Ordered HTN Planning. 613-663 - Tomás Dlask, Tomás Werner:
Using Constraint Propagation to Bound Linear Programs. 665-718 - Yue Wang, Alvaro Velasquez, George K. Atia, Ashley Prater-Bennette, Shaofeng Zou:
Robust Average-Reward Reinforcement Learning. 719-803 - Juha Karvanen, Santtu Tikka, Matti Vihola:
Simulating Counterfactuals. 835-857 - Benjamin Eva:
Individual Fairness, Base Rate Tracking and the Lipschitz Condition. 859-873 - André Schidler, Stefan Szeider:
SAT-based Decision Tree Learning for Large Data Sets. 875-918 - Bernd Dudzik, Jasper van der Waa, Pei-Yu Chen, Roel Dobbe, Inago M. D. R. de Troya, Roos M. Bakker, Maaike H. T. de Boer, Quirine T. S. Smit, Davide Dell'Anna, Emre Erdogan, Pinar Yolum, Shihan Wang, Selene Baez Santamaría, Lea Krause, Bart A. Kamphorst:
Viewpoint: Hybrid Intelligence Supports Application Development for Diabetes Lifestyle Management. 919-929 - Hannes Ihalainen, Jeremias Berg, Matti Järvisalo:
Unifying SAT-Based Approaches to Maximum Satisfiability Solving. 931-976 - Jorge Fandinno, Zachary Hansen, Yuliya Lierler:
Axiomatization of Non-Recursive Aggregates in First-Order Answer Set Programming. 977-1031 - Dominik Hintersdorf, Lukas Struppek, Manuel Brack, Felix Friedrich, Patrick Schramowski, Kristian Kersting:
Does CLIP Know My Face? 1033-1062 - Felix Brandt, Anaëlle Wilczynski:
On the Convergence of Swap Dynamics to Pareto-Optimal Matchings. 1063-1098 - Hosein Hasanbeig, Natasha Yogananda Jeppu, Alessandro Abate, Tom Melham, Daniel Kroening:
Symbolic Task Inference in Deep Reinforcement Learning. 1099-1137 - Yang Li, Shao Zhang, Jichen Sun, Wenhao Zhang, Yali Du, Ying Wen, Xinbing Wang, Wei Pan:
Tackling Cooperative Incompatibility for Zero-Shot Human-AI Coordination. 1139-1185 - Michiel van der Meer, Enrico Liscio, Catholijn M. Jonker, Aske Plaat, Piek Vossen, Pradeep K. Murukannaiah:
A Hybrid Intelligence Method for Argument Mining. 1187-1222 - Christoph Jabs, Jeremias Berg, Andreas Niskanen, Matti Järvisalo:
From Single-Objective to Bi-Objective Maximum Satisfiability Solving. 1223-1269 - Federico Castagna, Nadin Kökciyan, Isabel Sassoon, Simon Parsons, Elizabeth Sklar:
Computational Argumentation-based Chatbots: A Survey. 1271-1310 - Pouria Salehi, Yang Ba, Nayoung Kim, Ahmadreza Mosallanezhad, Anna Pan, Myke C. Cohen, Yixuan Wang, Jieqiong Zhao, Shawaiz Bhatti, James Sung, Erik Blasch, Michelle V. Mancenido, Erin K. Chiou:
Towards Trustworthy AI-Enabled Decision Support Systems: Validation of the Multisource AI Scorecard Table (MAST). 1311-1341 - Piotr Faliszewski, Krzysztof Sornat, Stanislaw Szufa:
The Complexity of Subelection Isomorphism Problems. 1343-1371 - Shengxin Liu, Xinhang Lu, Mashbat Suzuki, Toby Walsh:
Mixed Fair Division: A Survey. 1373-1406 - Felix Weitkämper:
Probabilities of the Third Type: Statistical Relational Learning and Reasoning with Relative Frequencies. 1407-1436 - Dominik Schreiber, Peter Sanders:
MallobSat: Scalable SAT Solving by Clause Sharing. 1437-1495 - Emanuele La Malfa, Aleksandar Petrov, Simon Frieder, Christoph Weinhuber, Ryan Burnell, Raza Nazar, Anthony G. Cohn, Nigel Shadbolt, Michael J. Wooldridge:
Language-Models-as-a-Service: Overview of a New Paradigm and its Challenges. 1497-1523 - Moschoula Pternea, Prerna Singh, Abir Chakraborty, Yagna D. Oruganti, Mirco Milletarí, Sayli Bapat, Kebei Jiang:
The RL/LLM Taxonomy Tree: Reviewing Synergies Between Reinforcement Learning and Large Language Models. 1525-1573 - Yixin Chen, Tonmoy Dey, Alan Kuhnle:
Scalable Distributed Algorithms for Size-Constrained Submodular Maximization in the MapReduce and Adaptive Complexity Models. 1575-1622 - Jayanta Mandi, James Kotary, Senne Berden, Maxime Mulamba, Victor Bucarey, Tias Guns, Ferdinando Fioretto:
Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future Opportunities. 1623-1701 - Pere Pardo, Christian Straßer:
The Goal after Tomorrow: Offline Goal Reasoning with Norms. 1703-1759
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