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ORCIDJournal of Artificial Intelligence Research, Volume 70
Volume 70, 2021
- Sarah Alice Gaggl, Sebastian Rudolph
, Hannes Straß:
On the Decomposition of Abstract Dialectical Frameworks and the Complexity of Naive-based Semantics. 1-64 - Manuel Alfonseca, Manuel Cebrián, Antonio Fernández Anta, Lorenzo Coviello, Andrés Abeliuk, Iyad Rahwan:
Superintelligence Cannot be Contained: Lessons from Computability Theory. 65-76 - Allegra De Filippo, Michele Lombardi, Michela Milano:
Integrated Offline and Online Decision Making under Uncertainty. 77-117 - Meghna Lowalekar, Pradeep Varakantham, Patrick Jaillet:
Zone pAth Construction (ZAC) based Approaches for Effective Real-Time Ridesharing. 119-167 - Christer Bäckström, Peter Jonsson, Sebastian Ordyniak:
Cost-optimal Planning, Delete Relaxation, Approximability, and Heuristics. 169-204 - Antonio Anastasio Bruto da Costa, Pallab Dasgupta:
Learning Temporal Causal Sequence Relationships from Real-Time Time-Series. 205-243 - Nadia Burkart, Marco F. Huber:
A Survey on the Explainability of Supervised Machine Learning. 245-317 - Yongcan Cao, Huixin Zhan:
Efficient Multi-objective Reinforcement Learning via Multiple-gradient Descent with Iteratively Discovered Weight-Vector Sets. 319-349 - Stephan Wäldchen, Jan MacDonald, Sascha Hauch, Gitta Kutyniok:
The Computational Complexity of Understanding Binary Classifier Decisions. 351-387 - Guangqiang Xie, Junyu Chen, Yang Li:
Hybrid-order Network Consensus for Distributed Multi-agent Systems. 389-407 - Marc-André Zöller, Marco F. Huber:
Benchmark and Survey of Automated Machine Learning Frameworks. 409-472 - Nikhil Vyas, R. Ryan Williams:
On Super Strong ETH. 473-495 - Matthew Schlegel, Andrew Jacobsen, Zaheer Abbas, Andrew Patterson, Adam White, Martha White:
General Value Function Networks. 497-543 - Yongjing Yin, Shaopeng Lai, Linfeng Song, Chulun Zhou, Xianpei Han, Junfeng Yao, Jinsong Su:
An External Knowledge Enhanced Graph-based Neural Network for Sentence Ordering. 545-566 - Masoud Seddighin, Mohamad Latifian, Mohammad Ghodsi:
On the Distortion Value of Elections with Abstention. 567-595 - Alex Mattenet, Ian Davidson, Siegfried Nijssen, Pierre Schaus:
Generic Constraint-based Block Modeling using Constraint Programming. 597-630 - Yue Hu, Daniel Harabor, Long Qin, Quanjun Yin:
Regarding Goal Bounding and Jump Point Search. 631-681 - Jesse Read, Bernhard Pfahringer, Geoff Holmes, Eibe Frank:
Classifier Chains: A Review and Perspectives. 683-718 - Xinping Xu, Bo Li, Minming Li, Lingjie Duan:
Two-facility Location Games with Minimum Distance Requirement. 719-756 - Shushman Choudhury, Kiril Solovey, Mykel J. Kochenderfer, Marco Pavone:
Efficient Large-Scale Multi-Drone Delivery using Transit Networks. 757-788 - Frans A. Oliehoek, Stefan J. Witwicki, Leslie Pack Kaelbling:
A Sufficient Statistic for Influence in Structured Multiagent Environments. 789-870 - Tae Wan Kim, John N. Hooker, Thomas Donaldson:
Taking Principles Seriously: A Hybrid Approach to Value Alignment in Artificial Intelligence. 871-890 - Dimitrios I. Diochnos:
On the Evolvability of Monotone Conjunctions with an Evolutionary Mutation Mechanism. 891-921 - Tomer Shahar, Shashank Shekhar, Dor Atzmon, Abdallah Saffidine, Brendan Juba, Roni Stern:
Safe Multi-Agent Pathfinding with Time Uncertainty. 923-954 - Frits de Nijs, Erwin Walraven, Mathijs Michiel de Weerdt, Matthijs T. J. Spaan:
Constrained Multiagent Markov Decision Processes: a Taxonomy of Problems and Algorithms. 955-1001 - Jess Whittlestone, Kai Arulkumaran, Matthew Crosby:
The Societal Implications of Deep Reinforcement Learning. 1003-1030 - Daniel Furelos-Blanco, Mark Law, Anders Jonsson, Krysia Broda, Alessandra Russo:
Induction and Exploitation of Subgoal Automata for Reinforcement Learning. 1031-1116 - Dominik Schreiber:
Lilotane: A Lifted SAT-based Approach to Hierarchical Planning. 1117-1181 - Alexander Shleyfman, Peter Jonsson:
Computational Complexity of Computing Symmetries in Finite-Domain Planning. 1183-1221 - Anson Kahng, Simon Mackenzie, Ariel D. Procaccia:
Liquid Democracy: An Algorithmic Perspective. 1223-1252 - Michele Flammini, Bojana Kodric, Gianpiero Monaco, Qiang Zhang:
Strategyproof Mechanisms for Additively Separable and Fractional Hedonic Games. 1253-1279 - Ondrej Kuzelka:
Weighted First-Order Model Counting in the Two-Variable Fragment With Counting Quantifiers. 1281-1307 - Olivia Johanna Erdélyi, Gábor Erdélyi:
The AI Liability Puzzle and A Fund-Based Work-Around. 1309-1334 - Giuseppe De Giacomo, Xavier Oriol, Riccardo Rosati, Domenico Fabio Savo:
Instance-Level Update in DL-Lite Ontologies through First-Order Rewriting. 1335-1371 - Curtis G. Northcutt, Lu Jiang, Isaac L. Chuang:
Confident Learning: Estimating Uncertainty in Dataset Labels. 1373-1411 - Laurent Bulteau, Gal Shahaf, Ehud Shapiro, Nimrod Talmon:
Aggregation over Metric Spaces: Proposing and Voting in Elections, Budgeting, and Legislation. 1413-1439 - Dung D. Le, Hady Wirawan Lauw:
Efficient Retrieval of Matrix Factorization-Based Top-k Recommendations: A Survey of Recent Approaches. 1441-1479 - Ritesh Noothigattu, Nihar B. Shah, Ariel D. Procaccia:
Loss Functions, Axioms, and Peer Review. 1481-1515 - Anirban Santara, Sohan Rudra, Sree Aditya Buridi, Meha Kaushik, Abhishek Naik, Bharat Kaul, Balaraman Ravindran:
MADRaS : Multi Agent Driving Simulator. 1517-1555 - Melisa Gisselle Escañuela Gonzalez, Maximiliano Celmo David Budán, Gerardo I. Simari, Guillermo Ricardo Simari:
Labeled Bipolar Argumentation Frameworks. 1557-1636
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