Session
Authors Title
Session 1 (10:30-11:50)
Social Choice Theory 1
Siddharth Barman, Sanath Kumar Krishnamurthy, Rohit Vaish Greedy Algorithms for Maximizing Nash Social Welfare
Piotr Faliszewski, Nimrod Talmon Between Proportionality and Diversity: Balancing District Sizes under the Chamberlin--Courant Rule
Haris Aziz, Barton Lee, Nimrod Talmon Proportionally Representative Participatory Budgeting: Axioms and Algorithms
Piotr Faliszewski, Stanislaw Szufa, Nimrod Talmon Optimization-Based Voting Rule Design: The Closer to Utopia the Better
Session 2 (10:30-11:50)
Mechanism Design 1
Hao Cheng, Lei Zhang, Yi Zhang, Jun Wu, Chongjun Wang Optimal Constraint Collection for Core-selecting Path Mechanism
Makoto Yokoo, Takamasa Suzuki, Akihisa Tamura Efficient allocation mechanism with endowments and distributional constraints
Kentaro Yahiro, Yuzhe Zhang, Nathanael Barrot, Makoto Yokoo Strategyproof and fair matching mechanism for ratio constraints
Dengji Zhao, Bin Li, Junping Xu, Dong Hao, Nicholas R. Jennings Selling Multiple Items via Social Networks
Session 3 (10:30-11:50)
Game Theory 1
Karl Tuyls, Julien Perolat, Marc Lanctot, Joel Leibo, Thore Graepel A Generalised Method for Empirical Game Theoretic Analysis
Reshef Meir, David Parkes Playing the Wrong Game: Bounding Externalities in Diverse Populations of Agents
Ganesh Ghalme, SUJIT GUJAR, Amleshwar Kumar, Shweta Jain, Yadati Narahari Design of Coalition Resistant Credit Score Functions for Online Discussion Forums
Shibashis Guha, Orna Kupferman, Gal Vardi Multi-player Flow Games
Session 4 (10:30-11:50)
Learning and Adaptation 1
Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes Learning Temporal Strategic Relationships using Generative Adversarial Imitation Learning
Jakob Foerster, Richard Chen, Maruan Al-Shedivat, Shimon Whiteson, Pieter Abbeel, Igor Mordatch Learning with Opponent-Learning Awareness
Melrose Roderick, Christopher Grimm, Stefanie Tellex Deep Abstract Q-Networks
Shayegan Omidshafiei, Dong-Ki Kim, Jason Pazis, Jonathan How Crossmodal Attentive Skill Learner
Session 5 (10:30-11:50)
Logic for Multiagent Systems 1
Fiona Berreby, Gauvain Bourgne, Jean-Gabriel Ganascia Event-Based and Scenario-Based Causality for Computational Ethics
Wojciech Jamroga, Wojciech Penczek, Piotr Dembinski, Antoni Mazurkiewicz Towards Partial Order Reductions for Strategic Ability
Jeremy Kong, Alessio Lomuscio Model Checking Multi-Agent Systems against LDLK Specifications on Finite Traces
Christopher Leturc, Gregory Bonnet A normal modal logic for trust in the sincerity
Session 6 (10:30-11:50)
Social Networks
Sandipan Sikdar, Tanmoy Chakraborty, Soumya Sarkar, Niloy Ganguly, Animesh Mukherjee ComPAS: Community Preserving Sampling for Streaming Graphs
Yijin Cai, Hong Zheng, Jiamou Liu, Bo Yan, Hongyi Su, Yiping Liu Balancing the Pain and Gain of Hobnobbing
Chenxi Qiu, Anna Squicciarini, Christopher Griffin, Prasanna Umar Combating Behavioral Deviance via User Behavior Control
Sixie Yu, Yevgeniy Vorobeychik, Scott Alfeld Adversarial Classification on Social Networks
Session 7 (10:30-11:50)
Robotics: Planning
Shih-Yun Lo, Shiqi Zhang, Peter Stone PETLON: Planning Efficiently for Task-Level-Optimal Navigation
Alessandro Riva, Jacopo Banfi, Carlo Fanton, Nicola Basilico, Francesco Amigoni A Journey Among Pairs of Vertices: Computing Robots' Paths for Performing Joint Measurements
Yue Wang, Swarat Chaudhuri, Lydia Kavraki Bounded Policy Synthesis for POMDPs with Safe-Reachability Objectives
Sarra Alqahtani, Ian Riley, Samuel Taylor, Rose Gamble, Roger Mailler MTL Robustness for Path Planning with A*
Session 8 (13:30-15:30)
Social Choice on Networks
Matthias Mnich, Martin Koutecky, Dusan Knop A Unifying Framework for Manipulation Problems
Bryan Wilder, Yevgeniy Vorobeychik Controlling Elections through Social Influence
Amittai Cohen-Zemach, Yoad Lewenberg, Jeffrey Rosenschein Gerrymandering Over Graphs
Robert Bredereck, Andrzej Kaczmarczyk, Rolf Niedermeier Envy-Free Allocations Respecting Social Networks
Aureacutelie Beynier, Laurent Gourves, Julien Lesca, Nicolas Maudet, Yann Chevaleyre, Anaƫlle Wilczynski Local Envy-Freeness in House Allocation Problems
Alan Tsang, Amirali Salehi-Abari, Kate Larson Boundedly Rational Voters in Large Networks
Session 9 (13:30-15:30)
Auctions and Mechanism Design 2
Keiichiro Hayakawa, Enrico Gerding, Sebastian Stein, Takahiro Shiga Price-based Online Mechanisms for Settings with Uncertain Future Procurement Costs and Multi-Unit Demand
John P. Dickerson, Karthik Abinav Sankararaman, Aravind Srinivasan, Pan Xu Assigning Tasks to Workers based on Historical Data: Online Task Assignment with Two-sided Arrivals
Chaolun Xia, Shan Muthukrishnan Arbitrage-free Pricing in User-based Markets
Yuho Wada, Tomohiro Ono, Taiki Todo, Makoto Yokoo Facility Location with Variable and Dynamic Populations
Manisha Padala, Cv Jawahar, SUJIT GUJAR Learning Optimal Redistribution Mechanisms Through Neural Networks
Zhe Feng, Harikrishna Narasimhan, David Parkes Deep Learning for Revenue-Optimal Auctions with Budgets
Session 10 (13:30-15:30)
Logic and Games
Lavindra de Silva HTN Acting: A Formalism and an Algorithm
Valentin Goranko, Sebastian Enqvist Socially Friendly and Group Protecting Coalition Logics
Joseph Boudou, Emiliano Lorini Concurrent Game Structures for Temporal STIT Logic
Pavel Naumov, Jia Tao Second-Order Know-How Strategies
Julian Gutierrez, Paul Harrenstein, Thomas Steeples, Michael Wooldridge Local Equilibria in Logic-Based Multi-Player Games
Maria-Florina Balcan, Avrim Blum, Shang-Tse Chen Diversified Strategies for Mitigating Adversarial Attacks in Multiagent Systems
Session 11 (13:30-15:30)
Learning and Adaptation 2
Frits de Nijs, Georgios Theocharous, Nikos Vlassis, Mathijs de Weerdt, Matthijs Spaan Capacity-aware Sequential Recommendations
Ashiqur KhudaBukhsh, Jaime Carbonell Expertise Drift in Referral Networks
Thomas Spooner, John Fearnley, Rahul Savani, Andreas Koukorinis Market making via reinforcement learning
Gregory Palmer, Karl Tuyls, Rahul Savani, Daan Bloembergen Lenient Multi-Agent Deep Reinforcement Learning
Rodrigo Toro Icarte, Toryn Klassen, Richard Valenzano, Sheila McIlraith Teaching Multiple Tasks to an RL Agent using LTL
Maxime Bouton, Kyle Julian, Alireza Nakhaei, Kikuo Fujimura, Mykel Kochenderfer Utility Decomposition with Deep Corrections for Scalable Planning under Uncertainty
Session 12 (13:30-15:30)
Socially Interactive Agents 1
Jan Poppel; Stefan Kopp Satisficing Models of Bayesian Theory of Mind for Explaining Behavior of Differently Uncertain Agents
Abdelwahab Bourai; Jaime Carbonell I Know What You Don't Know: Proactive Learning through Targeted Human Interaction
Tim Miller; Ronal Singh; Joshua Newn; Liz Sonenberg; Eduardo Velloso; Frank Vetere Combining Planning with Gaze for Online Human Intention Recognition
Patrick Gebhard; Tanja Schneeberger; Tobias Baur; Elisabeth Andre MARSSI: Model of Appraisal, Regulation, and Social Signal Interpretation
Filipa Correia; Carla Guerra; Samuel Mascarenhas; Francisco S. Melo; Ana Paiva Exploring the impact of fault justification in human-robot trust
Feyza Hafizoglu; Sandip Sen The Effects of Past Experience on Trust in Repeated Human-Agent Teamwork
Session 13 (13:30-15:30)
Robotics: Multi-Robot Coordination
Dario Albani, Tiziano Manoni, Daniele Nardi, Vito Trianni Dynamic UAV Swarm Deployment for Non-Uniform Coverage
Erez Hartuv, Noa Agmon, Sarit Kraus Scheduling Spare Drones for Persistent Task Performance under Energy Constraints
Volker Strobel, Eduardo Castello Ferrer, Marco Dorigo Managing Byzantine Robots via Blockchain Technology in a Swarm Robotics Collective Decision Making Scenario
Thadeu Tucci, Benoit Piranda, Julien Bourgeois A Distributed Self-Assembly Planning Algorithm for Modular Robots
Laetitia Matignon, Olivier Simonin Multi-Robot Simultaneous Coverage and Mapping of Complex Scene - Comparison of Different Strategies
Ji Chen, Salar Moarref, Hadas Kress-Gazit Verifiable Control of Robotic Swarm from High-level Specifications
Session 14 (13:30-15:30)
Industrial Applications
Shih-Fen Cheng, Shashi Shekhar Jha, Rishikeshan Rajendram Taxis Strike Back: A Field Trial of the Driver Guidance System
Hussain Kazmi, Johan Suykens, Johan Driesen Valuing knowledge, information and agency in Multi-agent Reinforcement Learning: a case study in smart buildings
Ayan Mukhopadhyay, Zilin Wang, Yevgeniy Vorobeychik A Decision Theoretic Framework for Emergency Responder Dispatch
Michael Papasimeon Multiagent Simulation of Adversarial Socio-Technical Systems
Sethuramalingam Subramaniam, Pooja Aggarwal, Gargi B Dasgupta, Amit Paradkar COBOTS - A Cognitive Multi-Bot Conversational Framework for Technical Support