1076-9757
Volume 70, 2021
Labeled Bipolar Argumentation Frameworks.

Melisa Gisselle Escañuela Gonzalez Maximiliano Celmo David Budán Gerardo I. Simari Guillermo Ricardo Simari

MADRaS : Multi Agent Driving Simulator.

Anirban Santara Sohan Rudra Sree Aditya Buridi Meha Kaushik Abhishek Naik Bharat Kaul Balaraman Ravindran

Loss Functions, Axioms, and Peer Review.

Ritesh Noothigattu Nihar B. Shah Ariel D. Procaccia

Efficient Retrieval of Matrix Factorization-Based Top-k Recommendations: A Survey of Recent Approaches.

Dung D. Le Hady Wirawan Lauw

Aggregation over Metric Spaces: Proposing and Voting in Elections, Budgeting, and Legislation.

Laurent Bulteau Gal Shahaf Ehud Shapiro Nimrod Talmon

Confident Learning: Estimating Uncertainty in Dataset Labels.

Curtis G. Northcutt Lu Jiang Isaac L. Chuang

Instance-Level Update in DL-Lite Ontologies through First-Order Rewriting.

Giuseppe De Giacomo Xavier Oriol Riccardo Rosati Domenico Fabio Savo

The AI Liability Puzzle and A Fund-Based Work-Around.

Olivia Johanna Erdélyi Gábor Erdélyi

Weighted First-Order Model Counting in the Two-Variable Fragment With Counting Quantifiers.

Ondrej Kuzelka

Strategyproof Mechanisms for Additively Separable and Fractional Hedonic Games.

Michele Flammini Bojana Kodric Gianpiero Monaco Qiang Zhang

Liquid Democracy: An Algorithmic Perspective.

Anson Kahng Simon Mackenzie Ariel D. Procaccia

Computational Complexity of Computing Symmetries in Finite-Domain Planning.

Alexander Shleyfman Peter Jonsson

Lilotane: A Lifted SAT-based Approach to Hierarchical Planning.

Dominik Schreiber

Induction and Exploitation of Subgoal Automata for Reinforcement Learning.

Daniel Furelos-Blanco Mark Law Anders Jonsson Krysia Broda Alessandra Russo

The Societal Implications of Deep Reinforcement Learning.

Jess Whittlestone Kai Arulkumaran Matthew Crosby

Constrained Multiagent Markov Decision Processes: a Taxonomy of Problems and Algorithms.

Frits de Nijs Erwin Walraven Mathijs Michiel de Weerdt Matthijs T. J. Spaan

Safe Multi-Agent Pathfinding with Time Uncertainty.

Tomer Shahar Shashank Shekhar Dor Atzmon Abdallah Saffidine Brendan Juba Roni Stern

On the Evolvability of Monotone Conjunctions with an Evolutionary Mutation Mechanism.

Dimitrios I. Diochnos

Taking Principles Seriously: A Hybrid Approach to Value Alignment in Artificial Intelligence.

Tae Wan Kim John N. Hooker Thomas Donaldson

A Sufficient Statistic for Influence in Structured Multiagent Environments.

Frans A. Oliehoek Stefan J. Witwicki Leslie Pack Kaelbling

Efficient Large-Scale Multi-Drone Delivery using Transit Networks.

Shushman Choudhury Kiril Solovey Mykel J. Kochenderfer Marco Pavone

Two-facility Location Games with Minimum Distance Requirement.

Xinping Xu Bo Li Minming Li Lingjie Duan

Classifier Chains: A Review and Perspectives.

Jesse Read Bernhard Pfahringer Geoff Holmes Eibe Frank

Regarding Goal Bounding and Jump Point Search.

Yue Hu Daniel Harabor Long Qin Quanjun Yin

Generic Constraint-based Block Modeling using Constraint Programming.

Alex Mattenet Ian Davidson Siegfried Nijssen Pierre Schaus

On the Distortion Value of Elections with Abstention.

Masoud Seddighin Mohamad Latifian Mohammad Ghodsi

An External Knowledge Enhanced Graph-based Neural Network for Sentence Ordering.

Yongjing Yin Shaopeng Lai Linfeng Song Chulun Zhou Xianpei Han Junfeng Yao Jinsong Su

General Value Function Networks.

Matthew Schlegel Andrew Jacobsen Zaheer Abbas Andrew Patterson Adam White Martha White

On Super Strong ETH.

Nikhil Vyas R. Ryan Williams

Benchmark and Survey of Automated Machine Learning Frameworks.

Marc-André Zöller Marco F. Huber

Hybrid-order Network Consensus for Distributed Multi-agent Systems.

Guangqiang Xie Junyu Chen Yang Li

The Computational Complexity of Understanding Binary Classifier Decisions.

Stephan Wäldchen Jan MacDonald Sascha Hauch Gitta Kutyniok

Efficient Multi-objective Reinforcement Learning via Multiple-gradient Descent with Iteratively Discovered Weight-Vector Sets.

Yongcan Cao Huixin Zhan

A Survey on the Explainability of Supervised Machine Learning.

Nadia Burkart Marco F. Huber

Learning Temporal Causal Sequence Relationships from Real-Time Time-Series.

Antonio Anastasio Bruto da Costa Pallab Dasgupta

Cost-optimal Planning, Delete Relaxation, Approximability, and Heuristics.

Christer Bäckström Peter Jonsson Sebastian Ordyniak

Zone pAth Construction (ZAC) based Approaches for Effective Real-Time Ridesharing.

Meghna Lowalekar Pradeep Varakantham Patrick Jaillet

Integrated Offline and Online Decision Making under Uncertainty.

Allegra De Filippo Michele Lombardi Michela Milano

Superintelligence Cannot be Contained: Lessons from Computability Theory.

Manuel Alfonseca Manuel Cebrián Antonio Fernández Anta Lorenzo Coviello Andrés Abeliuk Iyad Rahwan

On the Decomposition of Abstract Dialectical Frameworks and the Complexity of Naive-based Semantics.

Sarah Alice Gaggl Sebastian Rudolph Hannes Straß