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Artificial Intelligence, Volume 314
Volume 314, January 2023
- Mohit Kumar
, Samuel Kolb, Stefano Teso
Learning MAX-SAT from contextual examples for combinatorial optimisation. 103794 - Andrei Lissovoi, Pietro S. Oliveto
When move acceptance selection hyper-heuristics outperform Metropolis and elitist evolutionary algorithms and when not. 103804 - Vojtech Kovarík
Value functions for depth-limited solving in zero-sum imperfect-information games. 103805 - Julian Gutierrez, Szymon Kowara, Sarit Kraus
Cooperative concurrent games. 103806 - Carlos Hernández
Simple and efficient bi-objective search algorithms via fast dominance checks. 103807 - Víctor Gutiérrez-Basulto
Answering regular path queries mediated by unrestricted SQ ontologies. 103808 - Stéphane Airiau
Portioning using ordinal preferences: Fairness and efficiency. 103809 - Johannes Klaus Fichte
Solving Projected Model Counting by Utilizing Treewidth and its Limits. 103810 - Kai-Chieh Hsu
Sim-to-Lab-to-Real: Safe reinforcement learning with shielding and generalization guarantees. 103811 - Venkatraman Renganathan
Risk bounded nonlinear robot motion planning with integrated perception & control. 103812 - Jiejiang Chen
Improved local search for the minimum weight dominating set problem in massive graphs by using a deep optimization mechanism. 103819 - Trung Thanh Nguyen
Fair and efficient allocation with few agent types, few item types, or small value levels. 103820 - Matteo Castiglioni
Regret minimization in online Bayesian persuasion: Handling adversarial receiver's types under full and partial feedback models. 103821 - Gabriele Ciravegna
Logic Explained Networks. 103822 - Xuhong Li, Haoyi Xiong
G-LIME: Statistical learning for local interpretations of deep neural networks using global priors. 103823 - Haibin Wang, Sujoy Sikdar
Multi resource allocation with partial preferences. 103824 - Gabriele Kern-Isberner, Meliha Sezgin
A kinematics principle for iterated revision. 103827
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