JAIR 2022

118 papers

A Comprehensive Framework for Learning Declarative Action Models Diego Aineto, Sergio Jiménez, Eva Onaindia
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A Few Queries Go a Long Way: Information-Distortion Tradeoffs in Matching Georgios Amanatidis, Georgios Birmpas, Aris Filos-Ratsikas, Alexandros A. Voudouris
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A Logic-Based Explanation Generation Framework for Classical and Hybrid Planning Problems Stylianos Loukas Vasileiou, William Yeoh, Tran Cao Son, Ashwin Kumar, Michael Cashmore, Daniele Magazzeni
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A Metric Space for Point Process Excitations Myrl G. Marmarelis, Greg Ver Steeg, Aram Galstyan
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A Survey of Methods for Automated Algorithm Configuration Elias Schede, Jasmin Brandt, Alexander Tornede, Marcel Wever, Viktor Bengs, Eyke Hüllermeier, Kevin Tierney
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A Survey of Opponent Modeling in Adversarial Domains Samer B. Nashed, Shlomo Zilberstein
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AAN+: Generalized Average Attention Network for Accelerating Neural Transformer Biao Zhang, Deyi Xiong, Yubin Ge, Junfeng Yao, Hao Yue, Jinsong Su
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Adaptive Greedy Versus Non-Adaptive Greedy for Influence Maximization Wei Chen, Binghui Peng, Grant Schoenebeck, Biaoshuai Tao
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Admissibility in Probabilistic Argumentation Nikolai Käfer, Christel Baier, Martin Diller, Clemens Dubslaff, Sarah Alice Gaggl, Holger Hermanns
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Adversarial Framework with Certified Robustness for Time-Series Domain via Statistical Features Taha Belkhouja, Janardhan Rao Doppa
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Agent-Based Modeling for Predicting Pedestrian Trajectories Around an Autonomous Vehicle Manon Prédhumeau, Lyuba Mancheva, Julie Dugdale, Anne Spalanzani
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Altruistic Hedonic Games Anna Maria Kerkmann, Nhan-Tam Nguyen, Anja Rey, Lisa Rey, Jörg Rothe, Lena Schend, Alessandra Wiechers
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Approximating Perfect Recall When Model Checking Strategic Abilities: Theory and Applications Francesco Belardinelli, Alessio Lomuscio, Vadim Malvone, Emily Yu
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Asymmetric Action Abstractions for Planning in Real-Time Strategy Games Rubens O. Moraes, Mario A. Nascimento, Levi H. S. Lelis
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Automated Dynamic Algorithm Configuration Steven Adriaensen, André Biedenkapp, Gresa Shala, Noor H. Awad, Theresa Eimer, Marius Lindauer, Frank Hutter
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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, Marius Lindauer
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Automatic Recognition of the General-Purpose Communicative Functions Defined by the ISO 24617-2 Standard for Dialog Act Annotation Eugénio Ribeiro, Ricardo Ribeiro, David Martins de Matos
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Autotelic Agents with Intrinsically Motivated Goal-Conditioned Reinforcement Learning: A Short Survey Cédric Colas, Tristan Karch, Olivier Sigaud, Pierre-Yves Oudeyer
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Avoiding Negative Side Effects of Autonomous Systems in the Open World Sandhya Saisubramanian, Ece Kamar, Shlomo Zilberstein
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Better Decision Heuristics in CDCL Through Local Search and Target Phases Shaowei Cai, Xindi Zhang, Mathias Fleury, Armin Biere
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C-Face: Using Compare Face on Face Hallucination for Low-Resolution Face Recognition Feng Han, Xudong Wang, Furao Shen, Jian Zhao
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Can We Automate Scientific Reviewing? Weizhe Yuan, Pengfei Liu, Graham Neubig
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CASA: Conversational Aspect Sentiment Analysis for Dialogue Understanding Linfeng Song, Chunlei Xin, Shaopeng Lai, Ante Wang, Jinsong Su, Kun Xu
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Chance-Constrained Static Schedules for Temporally Probabilistic Plans Cheng Fang, Andrew J. Wang, Brian C. Williams
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Classical Planning in Deep Latent Space Masataro Asai, Hiroshi Kajino, Alex Fukunaga, Christian Muise
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CoLLIE: Continual Learning of Language Grounding from Language-Image Embeddings Gabriel Skantze, Bram Willemsen
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Communication-Aware Local Search for Distributed Constraint Optimization Ben Rachmut, Roie Zivan, William Yeoh
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Computational Benefits of Intermediate Rewards for Goal-Reaching Policy Learning Yuexiang Zhai, Christina Baek, Zhengyuan Zhou, Jiantao Jiao, Yi Ma
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Computational Short Cuts in Infinite Domain Constraint Satisfaction Peter Jonsson, Victor Lagerkvist, Sebastian Ordyniak
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Constraint Solving Approaches to the Business-to-Business Meeting Scheduling Problem Miquel Bofill, Jordi Coll, Marc Garcia, Jesús Giráldez-Cru, Gilles Pesant, Josep Suy, Mateu Villaret
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Cooperation and Learning Dynamics Under Wealth Inequality and Diversity in Individual Risk Ramona Merhej, Fernando P. Santos, Francisco S. Melo, Francisco C. Santos
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Core Challenges in Embodied Vision-Language Planning Jonathan Francis, Nariaki Kitamura, Felix Labelle, Xiaopeng Lu, Ingrid Navarro, Jean Oh
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Creative Problem Solving in Artificially Intelligent Agents: A Survey and Framework Evana Gizzi, Lakshmi Nair, Sonia Chernova, Jivko Sinapov
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Crossing the Conversational Chasm: A Primer on Natural Language Processing for Multilingual Task-Oriented Dialogue Systems Evgeniia Razumovskaia, Goran Glavas, Olga Majewska, Edoardo Maria Ponti, Anna Korhonen, Ivan Vulic
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Data-Driven Revision of Conditional Norms in Multi-Agent Systems Davide Dell'Anna, Natasha Alechina, Fabiano Dalpiaz, Mehdi Dastani, Brian Logan
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DeepSym: Deep Symbol Generation and Rule Learning for Planning from Unsupervised Robot Interaction Alper Ahmetoglu, M. Yunus Seker, Justus H. Piater, Erhan Öztop, Emre Ugur
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Domain Adaptation and Multi-Domain Adaptation for Neural Machine Translation: A Survey Danielle Saunders
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Doubly Robust Crowdsourcing Chong Liu, Yu-Xiang Wang
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Efficient Learning of Interpretable Classification Rules Bishwamittra Ghosh, Dmitry Malioutov, Kuldeep S. Meel
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Evolutionary Dynamics and Phi-Regret Minimization in Games Georgios Piliouras, Mark Rowland, Shayegan Omidshafiei, Romuald Elie, Daniel Hennes, Jerome T. Connor, Karl Tuyls
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Explainable Deep Learning: A Field Guide for the Uninitiated Gabrielle Ras, Ning Xie, Marcel van Gerven, Derek Doran
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Fair Division of Indivisible Goods for a Class of Concave Valuations Bhaskar Ray Chaudhury, Yun Kuen Cheung, Jugal Garg, Naveen Garg, Martin Hoefer, Kurt Mehlhorn
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Fair in the Eyes of Others Parham Shams, Aurélie Beynier, Sylvain Bouveret, Nicolas Maudet
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Fairness in Influence Maximization Through Randomization Ruben Becker, Gianlorenzo D'Angelo, Sajjad Ghobadi, Hugo Gilbert
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Fast Adaptive Non-Monotone Submodular Maximization Subject to a Knapsack Constraint Georgios Amanatidis, Federico Fusco, Philip Lazos, Stefano Leonardi, Rebecca Reiffenhäuser
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FFCI: A Framework for Interpretable Automatic Evaluation of Summarization Fajri Koto, Timothy Baldwin, Jey Han Lau
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Finding and Recognizing Popular Coalition Structures Felix Brandt, Martin Bullinger
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Fine-Grained Prediction of Political Leaning on Social Media with Unsupervised Deep Learning Tiziano Fagni, Stefano Cresci
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First-Order Rewritability and Complexity of Two-Dimensional Temporal Ontology-Mediated Queries Alessandro Artale, Roman Kontchakov, Alisa Kovtunova, Vladislav Ryzhikov, Frank Wolter, Michael Zakharyaschev
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Flexible FOND Planning with Explicit Fairness Assumptions Ivan D. Rodriguez, Blai Bonet, Sebastian Sardiña, Hector Geffner
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Get Out of the BAG! Silos in AI Ethics Education: Unsupervised Topic Modeling Analysis of Global AI Curricula Rana Tallal Javed, Osama Nasir, Melania Borit, Loïs Vanhée, Elias Zea, Shivam Gupta, Ricardo Vinuesa, Junaid Qadir
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HEBO: An Empirical Study of Assumptions in Bayesian Optimisation Alexander I. Cowen-Rivers, Wenlong Lyu, Rasul Tutunov, Zhi Wang, Antoine Grosnit, Ryan-Rhys Griffiths, Alexandre Max Maraval, Jianye Hao, Jun Wang, Jan Peters, Haitham Bou-Ammar
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Image Captioning as an Assistive Technology: Lessons Learned from VizWiz 2020 Challenge Pierre L. Dognin, Igor Melnyk, Youssef Mroueh, Inkit Padhi, Mattia Rigotti, Jarret Ross, Yair Schiff, Richard A. Young, Brian Belgodere
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Impact of Imputation Strategies on Fairness in Machine Learning Simon Caton, Saiteja Malisetty, Christian Haas
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Improving Simulated Annealing for Clique Partitioning Problems Jian Gao, Yiqi Lv, Minghao Liu, Shaowei Cai, Feifei Ma
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Incremental Event Calculus for Run-Time Reasoning Efthimis Tsilionis, Alexander Artikis, Georgios Paliouras
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Inductive Logic Programming at 30: A New Introduction Andrew Cropper, Sebastijan Dumancic
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Initialization of Feature Selection Search for Classification María Luque-Rodriguez, José Molina-Baena, Alfonso Jiménez-Vílchez, Antonio Arauzo-Azofra
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Interpretable Local Concept-Based Explanation with Human Feedback to Predict All-Cause Mortality Radwa El Shawi, Mouaz H. Al-Mallah
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Joint Optimization of Concave Scalarized Multi-Objective Reinforcement Learning with Policy Gradient Based Algorithm Qinbo Bai, Mridul Agarwal, Vaneet Aggarwal
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Jointly Learning Environments and Control Policies with Projected Stochastic Gradient Ascent Adrien Bolland, Ioannis Boukas, Mathias Berger, Damien Ernst
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Learning Bayesian Networks Under Sparsity Constraints: A Parameterized Complexity Analysis Niels Grüttemeier, Christian Komusiewicz
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Learning to Design Fair and Private Voting Rules Farhad Mohsin, Ao Liu, Pin-Yu Chen, Francesca Rossi, Lirong Xia
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Low-Rank Representation of Reinforcement Learning Policies Bogdan Mazoure, Thang Doan, Tianyu Li, Vladimir Makarenkov, Joelle Pineau, Doina Precup, Guillaume Rabusseau
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Marginal Distance and Hilbert-Schmidt Covariances-Based Independence Tests for Multivariate Functional Data Miroslaw Krzysko, Lukasz Smaga, Piotr Kokoszka
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Mean-Semivariance Policy Optimization via Risk-Averse Reinforcement Learning Xiaoteng Ma, Shuai Ma, Li Xia, Qianchuan Zhao
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Metric-Distortion Bounds Under Limited Information Ioannis Anagnostides, Dimitris Fotakis, Panagiotis Patsilinakos
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Migrating Techniques from Search-Based Multi-Agent Path Finding Solvers to SAT-Based Approach Pavel Surynek, Roni Stern, Eli Boyarski, Ariel Felner
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Motion Planning Under Uncertainty with Complex Agents and Environments via Hybrid Search Daniel Strawser, Brian Williams
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Multi-Agent Advisor Q-Learning Sriram Ganapathi Subramanian, Matthew E. Taylor, Kate Larson, Mark Crowley
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Multi-Agent Path Finding: A New Boolean Encoding Roberto Javier Asín Achá, Rodrigo López, Sebastián Hagedorn, Jorge A. Baier
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Multilingual Machine Translation: Deep Analysis of Language-Specific Encoder-Decoders Carlos Escolano, Marta Ruiz Costa-jussà, José A. R. Fonollosa
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Multiobjective Tree-Structured Parzen Estimator Yoshihiko Ozaki, Yuki Tanigaki, Shuhei Watanabe, Masahiro Nomura, Masaki Onishi
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Neural Character-Level Syntactic Parsing for Chinese Zuchao Li, Junru Zhou, Hai Zhao, Zhisong Zhang, Haonan Li, Yuqi Ju
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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 Truica, Branislava Sandrih, Sanda Martincic-Ipsic, Gábor Berend, Albert Gatt, Grazina Korvel
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Objective Bayesian Nets for Integrating Consistent Datasets Jürgen Landes, Jon Williamson
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On Efficient Reinforcement Learning for Full-Length Game of StarCraft II Ruo-Ze Liu, Zhen-Jia Pang, Zhou-Yu Meng, Wenhai Wang, Yang Yu, Tong Lu
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On Tackling Explanation Redundancy in Decision Trees Yacine Izza, Alexey Ignatiev, João Marques-Silva
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On the Indecisiveness of Kelly-Strategyproof Social Choice Functions Felix Brandt, Martin Bullinger, Patrick Lederer
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On the Tractability of SHAP Explanations Guy Van den Broeck, Anton Lykov, Maximilian Schleich, Dan Suciu
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Online Relaxation Refinement for Satisficing Planning: On Partial Delete Relaxation, Complete Hill-Climbing, and Novelty Pruning Maximilian Fickert, Jörg Hoffmann
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Ordinal Maximin Share Approximation for Goods Hadi Hosseini, Andrew Searns, Erel Segal-Halevi
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Out of Context: A New Clue for Context Modeling of Aspect-Based Sentiment Analysis Bowen Xing, Ivor W. Tsang
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Path Counting for Grid-Based Navigation Rhys Goldstein, Kean Walmsley, Jacobo Bibliowicz, Alexander Tessier, Simon Breslav, Azam Khan
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Planning with Critical Section Macros: Theory and Practice Lukás Chrpa, Mauro Vallati
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Planning with Perspectives - Decomposing Epistemic Planning Using Functional STRIPS Guang Hu, Tim Miller, Nir Lipovetzky
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Planted Dense Subgraphs in Dense Random Graphs Can Be Recovered Using Graph-Based Machine Learning Itay Levinas, Yoram Louzoun
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Predicting Decisions in Language Based Persuasion Games Reut Apel, Ido Erev, Roi Reichart, Moshe Tennenholtz
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Preferences Single-Peaked on a Tree: Multiwinner Elections and Structural Results Dominik Peters, Lan Yu, Hau Chan, Edith Elkind
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Pricing Problems with Buyer Preselection Vittorio Bilò, Michele Flammini, Gianpiero Monaco, Luca Moscardelli
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Proactive Dynamic Distributed Constraint Optimization Problems Khoi D. Hoang, Ferdinando Fioretto, Ping Hou, William Yeoh, Makoto Yokoo, Roie Zivan
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Proofs and Certificates for Max-SAT Matthieu Py, Mohamed Sami Cherif, Djamal Habet
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Ranking Sets of Objects: The Complexity of Avoiding Impossibility Results Jan Maly
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Recursion in Abstract Argumentation Is Hard - On the Complexity of Semantics Based on Weak Admissibility Wolfgang Dvorák, Markus Ulbricht, Stefan Woltran
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Reinforcement Learning from Optimization Proxy for Ride-Hailing Vehicle Relocation Enpeng Yuan, Wenbo Chen, Pascal Van Hentenryck
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Rethinking Fairness: An Interdisciplinary Survey of Critiques of Hegemonic ML Fairness Approaches Lindsay Weinberg
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Reward Machines: Exploiting Reward Function Structure in Reinforcement Learning Rodrigo Toro Icarte, Toryn Q. Klassen, Richard Anthony Valenzano, Sheila A. McIlraith
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SAMBA: A Generic Framework for Secure Federated Multi-Armed Bandits Radu Ciucanu, Pascal Lafourcade, Gaël Marcadet, Marta Soare
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Scalable Online Planning for Multi-Agent MDPs Shushman Choudhury, Jayesh K. Gupta, Peter Morales, Mykel J. Kochenderfer
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sEMG-Based Upper Limb Movement Classifier: Current Scenario and Upcoming Challenges Maurício Cagliari Tosin, Juliano C. Machado, Alexandre Balbinot
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Solving the Watchman Route Problem with Heuristic Search Shawn Skyler, Dor Atzmon, Tamir Yaffe, Ariel Felner
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Some Inapproximability Results of MAP Inference and Exponentiated Determinantal Point Processes Naoto Ohsaka
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Strategy Graphs for Influence Diagrams Eric A. Hansen, Jinchuan Shi, James Kastrantas
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Sum-of-Products with Default Values: Algorithms and Complexity Results Robert Ganian, Eun Jung Kim, Friedrich Slivovsky, Stefan Szeider
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Supervised Visual Attention for Simultaneous Multimodal Machine Translation Veneta Haralampieva, Ozan Caglayan, Lucia Specia
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Survey and Evaluation of Causal Discovery Methods for Time Series Charles K. Assaad, Emilie Devijver, Éric Gaussier
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Synthesis and Properties of Optimally Value-Aligned Normative Systems Nieves Montes, Carles Sierra
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The Application of Machine Learning Techniques for Predicting Match Results in Team Sport: A Review Rory P. Bunker, Teo Susnjak
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The Complexity of Network Satisfaction Problems for Symmetric Relation Algebras with a Flexible Atom Manuel Bodirsky, Simon Knäuer
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The Computational Complexity of ReLU Network Training Parameterized by Data Dimensionality Vincent Froese, Christoph Hertrich, Rolf Niedermeier
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The LM-Cut Heuristic Family for Optimal Numeric Planning with Simple Conditions Ryo Kuroiwa, Alexander Shleyfman, Chiara Piacentini, Margarita P. Castro, J. Christopher Beck
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Threshold Treewidth and Hypertree Width Robert Ganian, André Schidler, Manuel Sorge, Stefan Szeider
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TOOLTANGO: Common Sense Generalization in Predicting Sequential Tool Interactions for Robot Plan Synthesis Shreshth Tuli, Rajas Bansal, Rohan Paul, Mausam
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Towards Continual Reinforcement Learning: A Review and Perspectives Khimya Khetarpal, Matthew Riemer, Irina Rish, Doina Precup
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Towards Evidence Retrieval Cost Reduction in Abstract Argumentation Frameworks with Fallible Evidence Andrea Cohen, Sebastian Gottifredi, Alejandro Javier García, Guillermo Ricardo Simari
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Two-Phase Multi-Document Event Summarization on Core Event Graphs Zengjian Chen, Jin Xu, Meng Liao, Tong Xue, Kun He
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Viewpoint: Ethical by Designer - How to Grow Ethical Designers of Artificial Intelligence Loïs Vanhée, Melania Borit
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Visually Grounded Models of Spoken Language: A Survey of Datasets, Architectures and Evaluation Techniques Grzegorz Chrupala
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