Published: 2021-01-08

Superintelligence Cannot be Contained: Lessons from Computability Theory

Manuel Alfonseca, Manuel Cebrian, Antonio Fernandez Anta, Lorenzo Coviello, Andrés Abeliuk, Iyad Rahwan

65-76

Integrated Offline and Online Decision Making under Uncertainty

Allegra De Filippo, Michele Lombardi, Michela Milano

77-117

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

Meghna Lowalekar, Pradeep Varakantham, Patrick Jaillet

119-167

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

Christer Bäckström, Peter Jonsson, Sebastian Ordyniak

169-204

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

Antonio Anastasio Bruto da Costa, Pallab Dasgupta

205-243

The Computational Complexity of Understanding Binary Classifier Decisions

Stephan Waeldchen, Jan Macdonald, Sascha Hauch, Gitta Kutyniok

351–387

On Super Strong ETH

Nikhil Vyas, Ryan Williams

473-495

General Value Function Networks

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

497-543

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

545-566

On the Distortion Value of Elections with Abstention

Masoud Seddighin, Mohammad Latifian, Mohammad Ghodsi

567-595

Generic Constraint-based Block Modeling using Constraint Programming

Alex Mattenet, Ian Davidson, Siegfried Nijssen, Pierre Schaus

597-630

Regarding Goal Bounding and Jump Point Search

Yue Hu, Daniel Harabor, Long Qin, Quanjun Yin

631-681

Classifier Chains: A Review and Perspectives

Jesse Read, Bernhard Pfahringer, Geoffrey Holmes, Eibe Frank

683-718

Two-facility Location Games with Minimum Distance Requirement

Xinping Xu, Bo Li, Minming Li, Lingjie Duan

719-756

Efficient Large-Scale Multi-Drone Delivery using Transit Networks

Shushman Choudhury, Kiril Solovey, Mykel J. Kochenderfer, Marco Pavone

757-788

A Sufficient Statistic for Influence in Structured Multiagent Environments

Frans A. Oliehoek, Stefan Witwicki, Leslie P. Kaelbling

789-870

Safe Multi-Agent Pathfinding with Time Uncertainty

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

923–954

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

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

955-1001

The Societal Implications of Deep Reinforcement Learning

Jess Whittlestone, Kai Arulkumaran, Matthew Crosby

1003–1030

Induction and Exploitation of Subgoal Automata for Reinforcement Learning

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

1031-1116

Liquid Democracy: An Algorithmic Perspective

Anson Kahng, Simon Mackenzie, Ariel D. Procaccia

1223-1252

Strategyproof Mechanisms for Additively Separable and Fractional Hedonic Games

Michele Flammini, Bojana Kodric, Gianpiero Monaco, Qiang Zhang

1253–1279

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

Olivia J. Erdelyi, Gabor Erdelyi

1309-1334

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

Giuseppe De Giacomo, Xavier Oriol, Riccardo Rosati, Domenico Fabio Savo

1335-1371

Confident Learning: Estimating Uncertainty in Dataset Labels

Curtis Northcutt, Lu Jiang, Isaac Chuang

1373-1411

Loss Functions, Axioms, and Peer Review

Ritesh Noothigattu, Nihar Shah, Ariel Procaccia

1481-1515

MADRaS : Multi Agent Driving Simulator

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

1517-1555

Labeled Bipolar Argumentation Frameworks

Melisa G. Escañuela Gonzalez, Maximiliano C. D. Budán, Gerardo I. Simari, Guillermo R. Simari

1557-1636