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Journal of Artificial Intelligence Research, Volume 75
Volume 75, 2022
- Anna Maria Kerkmann, Nhan-Tam Nguyen, Anja Rey, Lisa Rey, Jörg Rothe, Lena Schend, Alessandra Wiechers:
Altruistic Hedonic Games. - Daniel Strawser, Brian Williams:
Motion Planning Under Uncertainty with Complex Agents and Environments via Hybrid Search. 1-81 - Maurício Cagliari Tosin, Juliano C. Machado, Alexandre Balbinot:
sEMG-Based Upper Limb Movement Classifier: Current Scenario and Upcoming Challenges. 83-127 - Weizhe Yuan, Pengfei Liu, Graham Neubig:
Can We Automate Scientific Reviewing? 171-212 - Ruo-Ze Liu, Zhen-Jia Pang, Zhou-Yu Meng, Wenhai Wang, Yang Yu, Tong Lu:
On Efficient Reinforcement Learning for Full-length Game of StarCraft II. 213-260 - Yacine Izza, Alexey Ignatiev
, João Marques-Silva:
On Tackling Explanation Redundancy in Decision Trees. 261-321 - Roberto Javier Asín Achá
Multi-Agent Path Finding: A New Boolean Encoding. 323-350 - Danielle Saunders:
Domain Adaptation and Multi-Domain Adaptation for Neural Machine Translation: A Survey. 351-424 - Elias Schede, Jasmin Brandt, Alexander Tornede, Marcel Wever, Viktor Bengs, Eyke Hüllermeier, Kevin Tierney:
A Survey of Methods for Automated Algorithm Configuration. 425-487 - Guang Hu
Planning with Perspectives - Decomposing Epistemic Planning using Functional STRIPS. 489-539 - Itay Levinas, Yoram Louzoun
Planted Dense Subgraphs in Dense Random Graphs Can Be Recovered using Graph-based Machine Learning. 541-568 - Xiaoteng Ma, Shuai Ma, Li Xia, Qianchuan Zhao:
Mean-Semivariance Policy Optimization via Risk-Averse Reinforcement Learning. 569-595 - Bogdan Mazoure, Thang Doan, Tianyu Li, Vladimir Makarenkov, Joelle Pineau, Doina Precup, Guillaume Rabusseau:
Low-Rank Representation of Reinforcement Learning Policies. 597-636 - Ben Rachmut, Roie Zivan, William Yeoh
Communication-Aware Local Search for Distributed Constraint Optimization. 637-675 - Biao Zhang, Deyi Xiong, Yubin Ge, Junfeng Yao, Hao Yue, Jinsong Su:
AAN+: Generalized Average Attention Network for Accelerating Neural Transformer. 677-708 - Alper Ahmetoglu
DeepSym: Deep Symbol Generation and Rule Learning for Planning from Unsupervised Robot Interaction. 709-745 - Shawn Skyler, Dor Atzmon, Tamir Yaffe, Ariel Felner:
Solving the Watchman Route Problem with Heuristic Search. 747-793 - Evana Gizzi, Lakshmi Nair, Sonia Chernova, Jivko Sinapov:
Creative Problem Solving in Artificially Intelligent Agents: A Survey and Framework. - Peter Jonsson, Victor Lagerkvist, Sebastian Ordyniak:
Computational Short Cuts in Infinite Domain Constraint Satisfaction. 793-831 - Radwa El Shawi, Mouaz H. Al-Mallah:
Interpretable Local Concept-based Explanation with Human Feedback to Predict All-cause Mortality. 833-855 - Parham Shams, Aurélie Beynier, Sylvain Bouveret, Nicolas Maudet
Fair in the Eyes of Others. 913-951 - María Luque-Rodriguez
Initialization of Feature Selection Search for Classification. 953-983 - Enpeng Yuan, Wenbo Chen, Pascal Van Hentenryck:
Reinforcement Learning from Optimization Proxy for Ride-Hailing Vehicle Relocation. 985-1002 - Rubens O. Moraes, Mario A. Nascimento, Levi H. S. Lelis:
Asymmetric Action Abstractions for Planning in Real-Time Strategy Games. 1103-1137 - Farhad Mohsin
Learning to Design Fair and Private Voting Rules. 1139-1176 - Eric A. Hansen, Jinchuan Shi, James Kastrantas:
Strategy Graphs for Influence Diagrams. 1177-1221 - Alessandro Artale, Roman Kontchakov, Alisa Kovtunova, Vladislav Ryzhikov, Frank Wolter
First-Order Rewritability and Complexity of Two-Dimensional Temporal Ontology-Mediated Queries. 1223-1291 - Andrea Cohen, Sebastian Gottifredi, Alejandro Javier García, Guillermo Ricardo Simari:
Towards Evidence Retrieval Cost Reduction in Abstract Argumentation Frameworks with Fallible Evidence. 1293-1322 - Cheng Fang, Andrew J. Wang, Brian C. Williams:
Chance-constrained Static Schedules for Temporally Probabilistic Plans. 1323-1372 - Matthieu Py, Mohamed Sami Cherif
Proofs and Certificates for Max-SAT. 1373-1400 - Khimya Khetarpal, Matthew Riemer, Irina Rish, Doina Precup:
Towards Continual Reinforcement Learning: A Review and Perspectives. 1401-1476 - Ryo Kuroiwa
The LM-Cut Heuristic Family for Optimal Numeric Planning with Simple Conditions. 1477-1548 - Davide Dell'Anna
Data-Driven Revision of Conditional Norms in Multi-Agent Systems. 1549-1593 - Shreshth Tuli, Rajas Bansal, Rohan Paul, Mausam:
TOOLTANGO: Common sense Generalization in Predicting Sequential Tool Interactions for Robot Plan Synthesis. 1595-1631 - Steven Adriaensen, André Biedenkapp
Automated Dynamic Algorithm Configuration. 1633-1699 - Manuel Bodirsky
The Complexity of Network Satisfaction Problems for Symmetric Relation Algebras with a Flexible Atom. 1701-1744
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