| 2019 | A Child and a Robot Getting Acquainted - Interaction Design for Eliciting Self-Disclosure. Mike Ligthart, Timo Fernhout, Mark A. Neerincx, Kelly L. A. van Bindsbergen, Martha A. Grootenhuis, Koen V. Hindriks |
| 2019 | A Complete Multi-Robot Path-Planning Algorithm: JAAMAS Track. Ebtehal Turki Saho Alotaibi |
| 2019 | A Compression-Inspired Framework for Macro Discovery. Francisco M. Garcia, Bruno C. da Silva, Philip S. Thomas |
| 2019 | A Context-aware Convention Formation Framework for Large-Scale Networks. Mohammad Rashedul Hasan, Anita Raja, Ana L. C. Bazzan |
| 2019 | A Cooperative Multi-Agent Reinforcement Learning Framework for Resource Balancing in Complex Logistics Network. Xihan Li, Jia Zhang, Jiang Bian, Yunhai Tong, Tie-Yan Liu |
| 2019 | A Counter Abstraction Technique for the Verification of Probabilistic Swarm Systems. Alessio Lomuscio, Edoardo Pirovano |
| 2019 | A Decade in Hindsight: The Missing Bridge Between Multi-Agent Systems and the World Wide Web. Andrei Ciortea, Simon Mayer, Fabien Gandon, Olivier Boissier, Alessandro Ricci, Antoine Zimmermann |
| 2019 | A Fully Rational Argumentation System for Preordered Defeasible Rules. Jesse Heyninck, Christian Straßer |
| 2019 | A Grounded Interaction Protocol for Explainable Artificial Intelligence. Prashan Madumal, Tim Miller, Liz Sonenberg, Frank Vetere |
| 2019 | A Homophily-Free Community Detection Framework for Trajectories with Delayed Responses. Chung-Kyun Han, Shih-Fen Cheng, Pradeep Varakantham |
| 2019 | A Meta-MDP Approach to Exploration for Lifelong Reinforcement Learning. Francisco M. Garcia, Philip S. Thomas |
| 2019 | A Multi-task Selected Learning Approach for Solving 3D Flexible Bin Packing Problem. Lu Duan, Haoyuan Hu, Yu Qian, Yu Gong, Xiaodong Zhang, Jiangwen Wei, Yinghui Xu |
| 2019 | A New Concept of Convex based Multiple Neural Networks Structure. Yu Wang, Yue Deng, Yilin Shen, Hongxia Jin |
| 2019 | A New Constraint Satisfaction Perspective on Multi-Agent Path Finding: Preliminary Results. Jiangxing Wang, Jiaoyang Li, Hang Ma, Sven Koenig, T. K. Satish Kumar |
| 2019 | A Polynomial-time Fragment of Epistemic Probabilistic Argumentation. Nico Potyka |
| 2019 | A Privacy Preserving Multiagent System for Load Balancing in the Smart Grid. Shangyu Xie, Yuan Hong, Peng-Jun Wan |
| 2019 | A Property-based Testing Framework for Multi-Agent Systems. Clara Benac Earle, Lars-Åke Fredlund |
| 2019 | A Q-values Sharing Framework for Multiple Independent Q-learners. Changxi Zhu, Ho-fung Leung, Shuyue Hu, Yi Cai |
| 2019 | A Regulation Enforcement Solution for Multi-agent Reinforcement Learning. Fan-Yun Sun, Yen-Yu Chang, Yueh-Hua Wu, Shou-De Lin |
| 2019 | A Reinforcement Learning Framework for Container Selection and Ship Load Sequencing in Ports. Richa Verma, Sarmimala Saikia, Harshad Khadilkar, Puneet Agarwal, Gautam Shroff, Ashwin Srinivasan |
| 2019 | A Representation Theorem for Reasoning in First-Order Multi-Agent Knowledge Bases. Christoph Schwering, Maurice Pagnucco |
| 2019 | A Social Choice Theoretic Perspective on Database Aggregation. Francesco Belardinelli, Umberto Grandi |
| 2019 | A Truthful Online Mechanism for Allocating Fog Computing Resources. Fan Bi, Sebastian Stein, Enrico H. Gerding, Nick R. Jennings, Tom La Porta |
| 2019 | A Truthful, Privacy-Preserving, Approximately Efficient Combinatorial Auction For Single-minded Bidders. Sankarshan Damle, Boi Faltings, Sujit Gujar |
| 2019 | ALBidS: A Decision Support System for Strategic Bidding in Electricity Markets. Tiago Pinto, Zita A. Vale |
| 2019 | Active Attention-Modified Policy Shaping: Socially Interactive Agents Track. Taylor Kessler Faulkner, Reymundo A. Gutierrez, Elaine Schaertl Short, Guy Hoffman, Andrea Lockerd Thomaz |
| 2019 | Active Learning with Gaussian Processes for High Throughput Phenotyping. Sumit Kumar, Wenhao Luo, George Kantor, Katia P. Sycara |
| 2019 | Actor Based Simulation for Closed Loop Control of Supply Chain using Reinforcement Learning. Souvik Barat, Harshad Khadilkar, Hardik Meisheri, Vinay Kulkarni, Vinita Baniwal, Prashant Kumar, Monika Gajrani |
| 2019 | Actor-Critic Algorithms for Constrained Multi-agent Reinforcement Learning. Raghuram Bharadwaj Diddigi, Sai Koti Reddy Danda, Prabuchandran K. J., Shalabh Bhatnagar |
| 2019 | Adaptable Decentralized Task Allocation of Swarm Agents. Vera A. Kazakova |
| 2019 | Adaptive Multi-agent System for Situated Task Allocation. Quentin Baert, Anne-Cécile Caron, Maxime Morge, Jean-Christophe Routier, Kostas Stathis |
| 2019 | Adversarial Coordination on Social Networks. Chen Hajaj, Sixie Yu, Zlatko Joveski, Yifan Guo, Yevgeniy Vorobeychik |
| 2019 | Adversarial Imitation Learning from State-only Demonstrations. Faraz Torabi, Garrett Warnell, Peter Stone |
| 2019 | Advice Replay Approach for Richer Knowledge Transfer in Teacher Student Framework. Vaibhav Gupta, Daksh Anand, Praveen Paruchuri, Balaraman Ravindran |
| 2019 | Agent Behavioral Analysis Based on Absorbing Markov Chains. Riccardo Sartea, Alessandro Farinelli, Matteo Murari |
| 2019 | Agent Embeddings: A Latent Representation for Pole-Balancing Networks. Oscar Chang, Robert Kwiatkowski, Siyuan Chen, Hod Lipson |
| 2019 | Agent-Environment Interactions in Large-Scale Multi-Agent Based Simulation Systems. Mohammad Al-Zinati, Rym Wenkstern |
| 2019 | Aggregating Citizen Preferences for Public Projects Through Civic Crowdfunding. Sankarshan Damle, Moin Hussain Moti, Praphul Chandra, Sujit Gujar |
| 2019 | Algorithms for Gerrymandering over Graphs. Takehiro Ito, Naoyuki Kamiyama, Yusuke Kobayashi, Yoshio Okamoto |
| 2019 | An Accessible Toolkit for the Creation of Socio-EmotionalAgents. Manuel Guimarães, Samuel Mascarenhas, Rui Prada, Pedro Alexandre Santos, João Dias |
| 2019 | An Adaptable Self-Monitoring Framework for Opaque Machines. Leilani H. Gilpin, Lalana Kagal |
| 2019 | An Agent Model Based on Open Linked Data for Building Internet of Agents Ecosystems. Pablo Pico-Valencia, Juan A. Holgado-Terriza, José A. Senso |
| 2019 | An Agent-Based Model of the Emergence and Evolution of a Language System for Boolean Coordination: JAAMAS Track. Josefina Sierra-Santibáñez |
| 2019 | An Evolutionary Approach to Find Optimal Policies with an Agent-Based Simulation. Nicolas De Bufala, Jean-Daniel Kant |
| 2019 | An Open MAS Services Architecture for the V2G/G2V Problem. Nikolaos I. Spanoudakis, Charilaos Akasiadis, Georgios Kechagias, Georgios Chalkiadakis |
| 2019 | An Optimal Rewiring Strategy for Cooperative Multiagent Social Learning. Hongyao Tang, Jianye Hao, Li Wang, Zan Wang, Tim Baarslag |
| 2019 | An Optimization Approach for Structured Agent-Based Provider/Receiver Tasks. Kim Baraka, Marta Couto, Francisco S. Melo, Manuela Veloso |
| 2019 | An Urgency-Dependent Quorum Sensing Algorithm for N-Site Selection in Autonomous Swarms. Grace Cai, Don Sofge |
| 2019 | Anticipatory Bayesian Policy Selection for Online Adaptation of Collaborative Robots to Unknown Human Types. O. Can Görür, Benjamin Rosman, Sahin Albayrak |
| 2019 | Applying Norms and Sanctions to Promote Cybersecurity Hygiene. Shubham Goyal, Nirav Ajmeri, Munindar P. Singh |
| 2019 | Approximation Algorithms for BalancedCC Multiwinner Rules. Markus Brill, Piotr Faliszewski, Frank Sommer, Nimrod Talmon |
| 2019 | Argumentation-based Negotiation with Incomplete Opponent Profiles. Yannis Dimopoulos, Jean-Guy Mailly, Pavlos Moraitis |
| 2019 | Aspects of Transparency in Machine Learning. Martin Strobel |
| 2019 | Attack-Resilient Connectivity Game for UAV Networks using Generative Adversarial Learning. Bo Yang, Min Liu |
| 2019 | Attacking Power Indices by Manipulating Player Reliability. Gabriel Istrate, Cosmin Bonchis, Alin Brîndusescu |
| 2019 | Attacking Similarity-Based Link Prediction in Social Networks. Kai Zhou, Tomasz P. Michalak, Marcin Waniek, Talal Rahwan, Yevgeniy Vorobeychik |
| 2019 | Attention-based Deep Reinforcement Learning for Multi-view Environments. Elaheh Barati, Xuewen Chen, Zichun Zhong |
| 2019 | Automated Mechanism Design via Neural Networks. Weiran Shen, Pingzhong Tang, Song Zuo |
| 2019 | Automatic Feature Engineering by Deep Reinforcement Learning. Jianyu Zhang, Jianye Hao, Françoise Fogelman-Soulié, Zan Wang |
| 2019 | Avoiding Social Disappointment in Elections. Mohammad Ali Javidian, Pooyan Jamshidi, Rasoul Ramezanian |
| 2019 | Balanced Task Allocation by Partitioning the Multiple Traveling Salesperson Problem. Isaac Vandermeulen, Roderich Groß, Andreas Kolling |
| 2019 | Bandit Learning with Biased Human Feedback. Wei Tang, Chien-Ju Ho |
| 2019 | Bayes-ToMoP: A Fast Detection and Best Response Algorithm Towards Sophisticated Opponents. Tianpei Yang, Jianye Hao, Zhaopeng Meng, Yan Zheng, Chongjie Zhang, Ze Zheng |
| 2019 | Bayesian Reinforcement Learning in Factored POMDPs. Sammie Katt, Frans A. Oliehoek, Christopher Amato |
| 2019 | Bayesian-DPOP for Continuous Distributed Constraint Optimization Problems. Jeroen Fransman, Joris Sijs, Henry Dol, Erik Theunissen, Bart De Schutter |
| 2019 | Between the Megalopolis and the Deep Blue Sky: Challenges of Transport with UAVs in Future Smart Cities. Yazan Mualla, Amro Najjar, Stéphane Galland, Christophe Nicolle, Igor Haman Tchappi, Ansar-Ul-Haque Yasar, Kary Främling |
| 2019 | Beyond Autonomy: The Self and Life of Social Agents. Budhitama Subagdja, Ah-Hwee Tan |
| 2019 | Bootstrapped Policy Gradient for Difficulty Adaptation in Intelligent Tutoring Systems. Yaqian Zhang, Wooi-Boon Goh |
| 2019 | Bribery in Balanced Knockout Tournaments. Christine Konicki, Virginia Vassilevska Williams |
| 2019 | Bridging the Gap Between High-Level Reasoning in Strategic Agent Coordination and Low-Level Agent Development. Elizabeth Bondi |
| 2019 | Broken Signals in Security Games: Coordinating Patrollers and Sensors in the Real World. Elizabeth Bondi, Hoon Oh, Haifeng Xu, Fei Fang, Bistra Dilkina, Milind Tambe |
| 2019 | Building Knowledge for AI Agents with Reinforcement Learning. Doina Precup |
| 2019 | Buyer Signaling Games in Auctions. Weiran Shen, Pingzhong Tang, Yulong Zeng |
| 2019 | Can Sophisticated Dispatching Strategy Acquired by Reinforcement Learning? Yujie Chen, Yu Qian, Yichen Yao, Zili Wu, Rongqi Li, Yinzhi Zhou, Haoyuan Hu, Yinghui Xu |
| 2019 | Can a Virtual Human Facilitate Language Learning in a Young Baby? Setareh Nasihati Gilani, David R. Traum, Rachel Sortino, Grady Gallagher, Kailyn Aaron-Lozano, Cryss Padilla, Ari Shapiro, Jason Lamberton, Laura-Ann Petitto |
| 2019 | Classification of Contractual Conflicts via Learning of Semantic Representations. João Paulo Aires, Roger Granada, Juarez Monteiro, Rodrigo Coelho Barros, Felipe Meneguzzi |
| 2019 | Collaborative Reinforcement Learning Model for Sustainability of Cooperation in Sequential Social Dilemmas. Ritwik Chaudhuri, Kushal Mukherjee, Ramasuri Narayanam, Rohith Dwarakanath Vallam, Ayush Kumar, Antriksh Mathur, Shweta Garg, Sudhanshu Singh, Gyana R. Parija |
| 2019 | Community Regularization of Visually-Grounded Dialog. Akshat Agarwal, Swaminathan Gurumurthy, Vasu Sharma, Mike Lewis, Katia P. Sycara |
| 2019 | Comparative Criteria for Partially Observable Contingent Planning. Dorin Shmaryahu, Jörg Hoffmann, Guy Shani |
| 2019 | Competitive Bridge Bidding with Deep Neural Networks. Jiang Rong, Tao Qin, Bo An |
| 2019 | Complexity Results and Algorithms for Bipolar Argumentation. Amin Karamlou, Kristijonas Cyras, Francesca Toni |
| 2019 | Complexity and Approximations in Robust Coalition Formation via Max-Min k-Partitioning. Anisse Ismaili, Noam Hazon, Emi Watanabe, Makoto Yokoo, Sarit Kraus |
| 2019 | Complexity of Additive Committee Selection with Outliers. Yongjie Yang, Jianxin Wang |
| 2019 | Complexity of Distances in Elections: Doctoral Consortium. Tobias Hogrebe |
| 2019 | Complexity of Manipulation in Premise-Based Judgment Aggregation with Simple Formulas. Robert Bredereck, Junjie Luo |
| 2019 | Computational Argumentation-based Clinical Decision Support. Martin Chapman, Panagiotis Balatsoukas, Mark Ashworth, Vasa Curcin, Nadin Kökciyan, Kai Essers, Isabel Sassoon, Sanjay Modgil, Simon Parsons, Elizabeth I. Sklar |
| 2019 | Computing Optimal Coalition Structures in Polynomial Time. Shaheen Fatima, Michael J. Wooldridge |
| 2019 | Computing Optimal Ex Ante Correlated Equilibria in Two-Player Sequential Games. Andrea Celli, Stefano Coniglio, Nicola Gatti |
| 2019 | Computing Stable Solutions in Threshold Network Flow Games With Bounded Treewidth. Aldo Pacchiano, Yoram Bachrach |
| 2019 | ConCon: A Contract Conflict Identifier. João Paulo Aires, Roger Granada, Felipe Meneguzzi |
| 2019 | Contest Manipulation for Improved Performance. Michal Habani, Priel Levy, David Sarne |
| 2019 | Context-Aware Policy Reuse. Siyuan Li, Fangda Gu, Guangxiang Zhu, Chongjie Zhang |
| 2019 | Contingent Payment Mechanisms for Resource Utilization. Hongyao Ma, Reshef Meir, David C. Parkes, James Y. Zou |
| 2019 | Contradict the Machine: A Hybrid Approach to Identifying Unknown Unknowns. Colin Vandenhof, Edith Law |
| 2019 | Convergence of Multi-Agent Learning with a Finite Step Size in General-Sum Games. Xinliang Song, Tonghan Wang, Chongjie Zhang |
| 2019 | Conversational Narrative Interfaces for Sensemaking. Andreea-Oana Petac |
| 2019 | Cooperating in Long-term Relationships with Time-Varying Structure. Jacob W. Crandall, Huy Pham |
| 2019 | Cooperation via Codes in Restricted Hat Guessing Games. Kai Jin, Ce Jin, Zhaoquan Gu |
| 2019 | Cooperation with Bottom-up Reputation Dynamics. Jason Xu, Julián García, Toby Handfield |
| 2019 | Cooperative Concurrent Games. Julian Gutierrez, Sarit Kraus, Michael J. Wooldridge |
| 2019 | Cooperative Multi-Agent Deep Reinforcement Learning in Soccer Domains. Jim Martin Catacora Ocana, Francesco Riccio, Roberto Capobianco, Daniele Nardi |
| 2019 | Cooperative Routing with Heterogeneous Vehicles. Keisuke Otaki, Satoshi Koide, Ayano Okoso, Tomoki Nishi |
| 2019 | Coordinated Multiagent Reinforcement Learning for Teams of Mobile Sensing Robots. Chao Yu, Xin Wang, Zhanbo Feng |
| 2019 | Coordinating the Crowd: Inducing Desirable Equilibria in Non-Cooperative Systems. David Mguni, Joel Jennings, Emilio Sison, Sergio Valcarcel Macua, Sofia Ceppi, Enrique Munoz de Cote |
| 2019 | Coordination Structures Generated by Deep Reinforcement Learning in Distributed Task Executions. Yuki Miyashita, Toshiharu Sugawara |
| 2019 | Courtesy as a Means to Coordinate. Panayiotis Danassis, Boi Faltings |
| 2019 | Covert Networks: How Hard is It to Hide? Palash Dey, Sourav Medya |
| 2019 | Credulous Acceptability, Poison Games and Modal Logic. Davide Grossi, Simon Rey |
| 2019 | Curriculum Learning for Tightly Coupled Multiagent Systems. Golden Rockefeller, Patrick Mannion, Kagan Tumer |
| 2019 | Decentralised Planning for Multi-Agent Programming Platforms. Rafael C. Cardoso, Rafael H. Bordini |
| 2019 | Decidable Model Checking with Uniform Strategies. Natasha Alechina, Mehdi Dastani, Brian Logan |
| 2019 | Deciding the Winner of a Debate Using Bipolar Argumentation. Amin Karamlou, Kristijonas Cyras, Francesca Toni |
| 2019 | Decision Procedures for Epistemic Logic Exploiting Belief Bases. Emiliano Lorini, Fabián Romero |
| 2019 | Decision Support System for Opponents Selection in Electricity Markets Bilateral Negotiations. Francisco Silva, Tiago Pinto, Zita A. Vale |
| 2019 | Deep Fictitious Play for Games with Continuous Action Spaces. Nitin Kamra, Umang Gupta, Kai Wang, Fei Fang, Yan Liu, Milind Tambe |
| 2019 | Deep Generative and Discriminative Domain Adaptation. Han Zhao, Junjie Hu, Zhenyao Zhu, Adam Coates, Geoffrey J. Gordon |
| 2019 | DeepAggregation: A New Approach for Aggregating Incomplete Ranked Lists using Multi-Layer Graph Embedding. Rohith Dwarakanath Vallam, Ramasuri Narayanam, Srikanth G. Tamilselvam, Nicholas Mattei, Sudhanshu S. Singh, Shweta Garg, Gyana R. Parija |
| 2019 | DeepFlow: Detecting Optimal User Experience From Physiological Data Using Deep Neural Networks. Marco Maier, Chadly Marouane, Daniel Elsner |
| 2019 | Delayed and Time-Variant Patrolling Strategies against Attackers with Local Observation Capabilities. Carlos Diaz Alvarenga, Nicola Basilico, Stefano Carpin |
| 2019 | Deploying a Shareholder Rights Management System onto a Distributed Ledger. Luke Riley, Grammateia Kotsialou, Amrita Dhillon, Toktam Mahmoodi, Peter McBurney, Richard Pearce |
| 2019 | Deriving Norms from Actions, Values and Context. Myrthe L. Tielman, Catholijn M. Jonker, M. Birna van Riemsdijk |
| 2019 | Designing Emergent Swarm Behaviors using Behavior Trees and Grammatical Evolution. Aadesh Neupane, Michael A. Goodrich |
| 2019 | Discriminatively Learning Inverse Optimal Control Models for Predicting Human Intentions. Sanket Gaurav, Brian D. Ziebart |
| 2019 | Distributed Environmental Modeling and Adaptive Sampling for Multi-Robot Sensor Coverage. Wenhao Luo, Changjoo Nam, George Kantor, Katia P. Sycara |
| 2019 | Distributed Heterogeneous Robot-Human Teams: Robotics Track. S. M. al Mahi, Kyungho Nam, Christopher Crick |
| 2019 | Distributed Policy Iteration for Scalable Approximation of Cooperative Multi-Agent Policies. Thomy Phan, Kyrill Schmid, Lenz Belzner, Thomas Gabor, Sebastian Feld, Claudia Linnhoff-Popien |
| 2019 | Distributed Self-Reconfiguration using a Deterministic Autonomous Scaffolding Structure. Pierre Thalamy, Benoît Piranda, Julien Bourgeois |
| 2019 | Domain Adaptation for Reinforcement Learning on the Atari. Thomas Carr, Maria Chli, George Vogiatzis |
| 2019 | Domain Authoring Assistant for Intelligent Virtual Agent. Sepehr Janghorbani, Ashutosh Modi, Jakob Buhmann, Mubbasir Kapadia |
| 2019 | Don't Put All Your Strategies in One Basket: Playing Green Security Games with Imperfect Prior Knowledge. Shahrzad Gholami, Amulya Yadav, Long Tran-Thanh, Bistra Dilkina, Milind Tambe |
| 2019 | Dynamic Aleatoric Reasoning in Games of Bluffing and Chance. Tim French, Andrew Gozzard, Mark Reynolds |
| 2019 | Dynamic Particle Allocation to Solve Interactive POMDP Models for Social Decision Making. Rohith Dwarakanath Vallam, Sarthak Ahuja, Surya Shravan Kumar Sajja, Ritwik Chaudhuri, Rakesh Pimplikar, Kushal Mukherjee, Ramasuri Narayanam, Gyana R. Parija |
| 2019 | Dynamic Source Weight Computation for Truth Inference over Data Streams. Yi Yang, Quan Bai, Qing Liu |
| 2019 | Dynamic and Intelligent Control of Autonomous Vehicles for Highway On-ramp Merge. Zine El Abidine Kherroubi, Samir Aknine, Rebiha Bacha |
| 2019 | Effective Collective Summarisation of Distributed Data in Mobile Multi-Agent Systems. Giorgio Audrito, Sergio Bergamini, Ferruccio Damiani, Mirko Viroli |
| 2019 | Effects of Task Similarity on Policy Transfer with Selective Exploration in Reinforcement Learning. Akshay Narayan, Tze-Yun Leong |
| 2019 | Efficiency, Sequenceability and Deal-Optimality in Fair Division of Indivisible Goods. Aurélie Beynier, Sylvain Bouveret, Michel Lemaître, Nicolas Maudet, Simon Rey, Parham Shams |
| 2019 | Efficient Allocation of Free Stuff. Yossi Azar, Allan Borodin, Michal Feldman, Amos Fiat, Kineret Segal |
| 2019 | Efficient City-Scale Patrolling Using Decomposition and Grafting. Wanyuan Wang, Zichen Dong, Bo An, Yichuan Jiang |
| 2019 | Egocentric Bias and Doubt in Cognitive Agents. Nanda Kishore Sreenivas, Shrisha Rao |
| 2019 | Emergence of Scenario-Appropriate Collaborative Behaviors for Teams of Robotic Bodyguards. Hassam Ullah Sheikh, Ladislau Bölöni |
| 2019 | Empathic Agents: A Hybrid Normative/Consequentialistic Approach. Timotheus Kampik |
| 2019 | Enforcing Equilibria in Multi-Agent Systems. Giuseppe Perelli |
| 2019 | Engineering Business Processes through Accountability and Agents. Matteo Baldoni, Cristina Baroglio, Olivier Boissier, Roberto Micalizio, Stefano Tedeschi |
| 2019 | Engineering Scalable Distributed Environments and Organizations for MAS. Alessandro Ricci, Andrei Ciortea, Simon Mayer, Olivier Boissier, Rafael H. Bordini, Jomi Fred Hübner |
| 2019 | Enhanced Learning from Multiple Demonstrations with a Flexible Two-level Structure Approach. Su Zhang |
| 2019 | Entailment Functions and Reasoning Under Inconsistency. Yakoub Salhi |
| 2019 | Escape Room: A Configurable Testbed for Hierarchical Reinforcement Learning. Jacob Menashe, Peter Stone |
| 2019 | Ethically Aligned Multi-agent Coordination to Enhance Social Welfare. Han Yu, Zhiqi Shen, Lizhen Cui, Yongqing Zheng, Victor R. Lesser |
| 2019 | Evaluating the Effectiveness of Multi-Agent Organisational Paradigms in a Real-Time Strategy Environment: Engineering Multiagent Systems Track. Buster A. Bernstein, Jasper C. M. Geurtz, Vincent J. Koeman |
| 2019 | Evaluation of Optimization for Pedestrian Route Guidance in Real-world Crowded Scene. Shusuke Shigenaka, Shunki Takami, Yoshihiko Ozaki, Masaki Onishi, Tomohisa Yamashita, Itsuki Noda |
| 2019 | Evidence Propagation and Consensus Formation in Noisy Environments. Michael Crosscombe, Jonathan Lawry |
| 2019 | Evolving Intrinsic Motivations for Altruistic Behavior. Jane X. Wang, Edward Hughes, Chrisantha Fernando, Wojciech M. Czarnecki, Edgar A. Duéñez-Guzmán, Joel Z. Leibo |
| 2019 | Experiential Preference Elicitation for Autonomous Heating and Cooling Systems. Andrew Perrault, Craig Boutilier |
| 2019 | Explainable Agency in Intelligent Agents: Doctoral Consortium. Prashan Madumal |
| 2019 | Explainable Agents and Robots: Results from a Systematic Literature Review. Sule Anjomshoae, Amro Najjar, Davide Calvaresi, Kary Främling |
| 2019 | Explaining Failures Propagations in the Execution of Multi-Agent Temporal Plans. Gianluca Torta, Roberto Micalizio, Samuele Sormano |
| 2019 | Explicable Planning as Minimizing Distance from Expected Behavior. Anagha Kulkarni, Yantian Zha, Tathagata Chakraborti, Satya Gautam Vadlamudi, Yu Zhang, Subbarao Kambhampati |
| 2019 | Exploiting Inaccurate A Priori Knowledge in Robot Exploration. Matteo Luperto, Danilo Fusi, N. Alberto Borghese, Francesco Amigoni |
| 2019 | Exploration in the Face of Parametric and Intrinsic Uncertainties. Borislav Mavrin, Shangtong Zhang, Hengshuai Yao, Linglong Kong |
| 2019 | Exploring Improvisational Approaches to Social Knowledge Acquisition. Dan Feng, Elín Carstensdóttir, Magy Seif El-Nasr, Stacy Marsella |
| 2019 | Exploring the No-Show Paradox for Condorcet Extensions Using Ehrhart Theory and Computer Simulations. Felix Brandt, Johannes Hofbauer, Martin Strobel |
| 2019 | Extending Modular Semantics for Bipolar Weighted Argumentation. Nico Potyka |
| 2019 | Extracting Dialogical Explanations for Review Aggregations with Argumentative Dialogical Agents. Oana Cocarascu, Antonio Rago, Francesca Toni |
| 2019 | FASTER: Fusion AnalyticS for public Transport Event Response. Sebastien Blandin, Laura Wynter, Hasan Poonawala, Sean Laguna, Basile Dura |
| 2019 | Facility Location Games with Externalities. Minming Li, Lili Mei, Yi Xu, Guochuan Zhang, Yingchao Zhao |
| 2019 | Fair Division of Indivisible Goods Among Strategic Agents. Siddharth Barman, Ganesh Ghalme, Shweta Jain, Pooja Kulkarni, Shivika Narang |
| 2019 | Fairness Through the Lens of Proportional Equality. Arpita Biswas, Suvam Mukherjee |
| 2019 | Fall if it Lifts your Teammate: A Novel Type of Candidate Manipulation. Justin Kruger, Sebastian Schneckenburger |
| 2019 | For The Record - A Public Goods Game For Exploring Human-Robot Collaboration. Filipa Correia, Samuel Mascarenhas, Samuel Gomes, Silvia Tulli, Fernando P. Santos, Francisco C. Santos, Rui Prada, Francisco S. Melo, Ana Paiva |
| 2019 | Forecast-Based Mechanisms for Demand Response. Georgios Methenitis, Michael Kaisers, Han La Poutré |
| 2019 | Formal Verification of Open Multi-Agent Systems. Panagiotis Kouvaros, Alessio Lomuscio, Edoardo Pirovano, Hashan Punchihewa |
| 2019 | Fraud Regulating Policy for E-Commerce via Constrained Contextual Bandits. Zehong Hu, Zhen Wang, Zhao Li, Shichang Hu, Shasha Ruan, Jie Zhang |
| 2019 | From Hotelling to Load Balancing: Approximation and the Principle of Minimum Differentiation. Matthias Feldotto, Pascal Lenzner, Louise Molitor, Alexander Skopalik |
| 2019 | From Matching with Diversity Constraints to Matching with Regional Quotas. Haris Aziz, Serge Gaspers, Zhaohong Sun, Toby Walsh |
| 2019 | Fully Convolutional One-Shot Object Segmentation for Industrial Robotics. Benjamin Schnieders, Shan Luo, Gregory Palmer, Karl Tuyls |
| 2019 | Gehrlein Stability in Committee Selection: Parameterized Hardness and Algorithms. Sushmita Gupta, Pallavi Jain, Sanjukta Roy, Saket Saurabh, Meirav Zehavi |
| 2019 | General-Sum Cyber Deception Games under Partial Attacker Valuation Information. Omkar Thakoor, Milind Tambe, Phebe Vayanos, Haifeng Xu, Christopher Kiekintveld |
| 2019 | Generalized Matching Games for International Kidney Exchange. Péter Biró, Walter Kern, Dömötör Pálvölgyi, Daniël Paulusma |
| 2019 | Generating Voting Rules from Random Relations. Nic Wilson |
| 2019 | Generating an Agent Taxonomy Using Topological Data Analysis. Samarth Swarup, Reza Rezazadegan |
| 2019 | Goal Recognition for Rational and Irrational Agents. Peta Masters, Sebastian Sardiña |
| 2019 | Gradual Semantics Accounting for Varied-Strength Attacks. Leila Amgoud, Dragan Doder |
| 2019 | Graph Based Optimization for Multiagent Cooperation. Arambam James Singh, Akshat Kumar |
| 2019 | Group Segregation in Social Networks. Dominic Aits, Alexander Carver, Paolo Turrini |
| 2019 | Groups Versus Coalitions: On the Relative Expressivity of GAL and CAL. Tim French, Rustam Galimullin, Hans van Ditmarsch, Natasha Alechina |
| 2019 | Hedonic Diversity Games. Robert Bredereck, Edith Elkind, Ayumi Igarashi |
| 2019 | Heterogeneous Two-facility Location Games with Minimum Distance Requirement. Lingjie Duan, Bo Li, Minming Li, Xinping Xu |
| 2019 | High-Level Path Planning in Hostile Dynamic Environments. Jacopo Banfi, Mark E. Campbell |
| 2019 | How Hard Is It to Control a Group? Yongjie Yang, Dinko Dimitrov |
| 2019 | How You Act Tells a Lot: Privacy-Leaking Attack on Deep Reinforcement Learning. Xinlei Pan, Weiyao Wang, Xiaoshuai Zhang, Bo Li, Jinfeng Yi, Dawn Song |
| 2019 | How to Get the Most from Goods Donated to Charities. Christopher Culley, Ji Qi, Carmine Ventre |
| 2019 | Human-guided Trajectory Adaptation for Tool Transfer. Tesca Fitzgerald, Elaine Short, Ashok K. Goel, Andrea Thomaz |
| 2019 | Hybrid BiLSTM-Siamese Network for Relation Extraction. Zeyuan Cui, Li Pan, Shijun Liu |
| 2019 | Implementing Business Processes in JaCaMo+ by Exploiting Accountability and Responsibility. Matteo Baldoni, Cristina Baroglio, Roberto Micalizio, Stefano Tedeschi |
| 2019 | Improved Cooperative Multi-agent Reinforcement Learning Algorithm Augmented by Mixing Demonstrations from Centralized Policy. Hyun-Rok Lee, Taesik Lee |
| 2019 | Improving Deep Reinforcement Learning via Transfer. Yunshu Du |
| 2019 | Improving Wind Power Forecasting through Cooperation: A Case-Study on Operating Farms. Tanguy Esteoule, Carole Bernon, Marie-Pierre Gleizes, Morgane Barthod |
| 2019 | Incentivizing Collaboration in a Competition. Arunesh Sinha, Michael P. Wellman |
| 2019 | Incentivizing Distributive Fairness for Crowdsourcing Workers. Chenxi Qiu, Anna Cinzia Squicciarini, Benjamin V. Hanrahan |
| 2019 | Incorporating Social Practices in BDI Agent Systems. Stephen Cranefield, Frank Dignum |
| 2019 | Independent Generative Adversarial Self-Imitation Learning in Cooperative Multiagent Systems. Xiaotian Hao, Weixun Wang, Jianye Hao, Yaodong Yang |
| 2019 | Information Gathering in Decentralized POMDPs by Policy Graph Improvement. Mikko Lauri, Joni Pajarinen, Jan Peters |
| 2019 | Installing Resilience in Distributed Constraint Optimization Operated by Physical Multi-Agent Systems. Pierre Rust, Gauthier Picard, Fano Ramparany |
| 2019 | Integrating Agent Advice and Previous Task Solutions in Multiagent Reinforcement Learning. Felipe Leno da Silva |
| 2019 | Integrating Personality and Mood with Agent Emotions. Suman Ojha, Jonathan Vitale, Syed Ali Raza, Richard Billingsley, Mary-Anne Williams |
| 2019 | Intelligent Multi-Purpose Healthcare Bot Facilitating Shared Decision Making. Mohammad Mehdi Afsar |
| 2019 | Interleaved Q-Learning with Partially Coupled Training Process. Min He, Hongliang Guo |
| 2019 | Interpretable Automated Machine Learning in Maana™ Knowledge Platform. Alexander Elkholy, Fangkai Yang, Steven Gustafson |
| 2019 | Inverse Kinematics and Sensitivity Minimization of an n-Stack Stewart Platform. David Balaban, John Cooper, Erik Komendera |
| 2019 | Invincible Strategies of Iterated Prisoner's Dilemma. Shiheng Wang, Fangzhen Lin |
| 2019 | Irony Man: Augmenting a Social Robot with the Ability to Use Irony in Multimodal Communication with Humans. Hannes Ritschel, Ilhan Aslan, David Sedlbauer, Elisabeth André |
| 2019 | Is Agent Software More Complex than Other Software? Alon Zanbar, Gal A. Kaminka |
| 2019 | Landmark Based Reward Shaping in Reinforcement Learning with Hidden States. Alper Demir, Erkin Çilden, Faruk Polat |
| 2019 | Large-Scale Home Energy Management Using Entropy-Based Collective Multiagent Reinforcement Learning Framework. Yaodong Yang, Jianye Hao, Yan Zheng, Xiaotian Hao, Bofeng Fu |
| 2019 | Learn a Robust Policy in Adversarial Games via Playing with an Expert Opponent. Jialian Li, Tongzheng Ren, Hang Su, Jun Zhu |
| 2019 | Learning Behaviors from a Single Video Demonstration Using Human Feedback. Sunil Gandhi, Tim Oates, Tinoosh Mohsenin, Nicholas R. Waytowich |
| 2019 | Learning Curriculum Policies for Reinforcement Learning. Sanmit Narvekar, Peter Stone |
| 2019 | Learning Efficient Communication in Cooperative Multi-Agent Environment. Yuhang Zhao, Xiujun Ma |
| 2019 | Learning Factored Markov Decision Processes with Unawareness. Craig Innes, Alex Lascarides |
| 2019 | Learning Plans by Acquiring Grounded Linguistic Meanings from Corrections. Mattias Appelgren, Alex Lascarides |
| 2019 | Learning Self-Game-Play Agents for Combinatorial Optimization Problems. Ruiyang Xu, Karl J. Lieberherr |
| 2019 | Learning Simulation-Based Games from Data. Enrique Areyan Viqueira, Amy Greenwald, Cyrus Cousins, Eli Upfal |
| 2019 | Learning an Effective Control Policy for a Robotic Drumstick via Self-Supervision. Mason Bretan, Siddharth Sanan, Larry P. Heck |
| 2019 | Local Core Stability in Simple Symmetric Fractional Hedonic Games. Raffaello Carosi, Gianpiero Monaco, Luca Moscardelli |
| 2019 | Local Distance Restricted Bribery in Voting. Palash Dey |
| 2019 | Logically-Constrained Neural Fitted Q-iteration. Mohammadhosein Hasanbeig, Alessandro Abate, Daniel Kroening |
| 2019 | Long-term Autonomous Mobile Manipulation under Uncertainty. Michael William Lanighan, Roderic A. Grupen |
| 2019 | MARL-PPS: Multi-agent Reinforcement Learning with Periodic Parameter Sharing. Safa Cicek, Alireza Nakhaei, Stefano Soatto, Kikuo Fujimura |
| 2019 | MCTS-based Automated Negotiation Agent. Cédric L. R. Buron, Zahia Guessoum, Sylvain Ductor |
| 2019 | MaMiC: Macro and Micro Curriculum for Robotic Reinforcement Learning. Manan Tomar, Akhil Sathuluri, Balaraman Ravindran |
| 2019 | Malthusian Reinforcement Learning. Joel Z. Leibo, Julien Pérolat, Edward Hughes, Steven Wheelwright, Adam H. Marblestone, Edgar A. Duéñez-Guzmán, Peter Sunehag, Iain Dunning, Thore Graepel |
| 2019 | Manipulating Elections by Selecting Issues. Jasper Lu, David Kai Zhang, Zinovi Rabinovich, Svetlana Obraztsova, Yevgeniy Vorobeychik |
| 2019 | Manipulations-resistant Facility Location Mechanisms for ZV-line Graphs. Ilan Nehama, Taiki Todo, Makoto Yokoo |
| 2019 | Manipulative Design of Scoring Systems. Dorothea Baumeister, Tobias Hogrebe |
| 2019 | Many-to-Many Stable Matchings with Ties, Master Preference Lists, and Matroid Constraints. Naoyuki Kamiyama |
| 2019 | Marginal Cost Pricing with a Fixed Error Factor in Traffic Networks. Guni Sharon, Stephen D. Boyles, Shani Alkoby, Peter Stone |
| 2019 | Masquerade Attack Detection Through Observation Planning for Multi-Robot Systems. Kacper Wardega, Roberto Tron, Wenchao Li |
| 2019 | Maximin-Aware Allocations of Indivisible Goods. Hau Chan, Jing Chen, Bo Li, Xiaowei Wu |
| 2019 | Maximizing the Spread of an Opinion when Tertium Datur Est. Vincenzo Auletta, Diodato Ferraioli, Valeria Fionda, Gianluigi Greco |
| 2019 | Maxmin Share Fair Allocation of Indivisible Chores to Asymmetric Agents. Haris Aziz, Hau Chan, Bo Li |
| 2019 | Mechanism Design with Unstructured Beliefs. Bo Li |
| 2019 | Memory based Multiagent One Shot Learning. Shauharda Khadka, Connor Yates, Kagan Tumer |
| 2019 | Meta-Strategy for Multi-Time Negotiation: A Multi-Armed Bandit Approach. Ryohei Kawata, Katsuhide Fujita |
| 2019 | Meta-learning for Predictive Knowledge Architectures: A Case Study Using TIDBD on a Sensor-rich Robotic Arm. Johannes Günther, Alex Kearney, Nadia M. Ady, Michael Rory Dawson, Patrick M. Pilarski |
| 2019 | Meta-learning of Bidding Agent with Knowledge Gradient in a Fully Agent-based Sponsored Search Auction Simulator. Donghun Lee, Warren B. Powell |
| 2019 | Microscopic Traffic Simulation by Cooperative Multi-agent Deep Reinforcement Learning. Giulio Bacchiani, Daniele Molinari, Marco Patander |
| 2019 | Minimizing Travel in the Uniform Dispersal Problem for Robotic Sensors. Michael Amir, Alfred M. Bruckstein |
| 2019 | Model Primitive Hierarchical Lifelong Reinforcement Learning. Bohan Wu, Jayesh K. Gupta, Mykel J. Kochenderfer |
| 2019 | Modeling Human Decision-Making during Hurricanes: From Model to Data Collection to Prediction. Nutchanon Yongsatianchot, Stacy Marsella |
| 2019 | Modeling People's Voting Behavior with Poll Information. Roy Fairstein, Adam Lauz, Reshef Meir, Kobi Gal |
| 2019 | Modeling Random Guessing and Task Difficulty for Truth Inference in Crowdsourcing. Yi Yang, Quan Bai, Qing Liu |
| 2019 | Modelling the Dynamic Joint Policy of Teammates with Attention Multi-agent DDPG. Hangyu Mao, Zhengchao Zhang, Zhen Xiao, Zhibo Gong |
| 2019 | Monotonicity Axioms in Approval-based Multi-winner Voting Rules. Luis Sánchez Fernández, Jesús A. Fisteus |
| 2019 | Monte Carlo Continual Resolving for Online Strategy Computation in Imperfect Information Games. Michal Sustr, Vojtech Kovarík, Viliam Lisý |
| 2019 | Multi-Agent Coordination under Uncertain Communication. Nikhil Bhargava |
| 2019 | Multi-Agent Hierarchical Reinforcement Learning with Dynamic Termination. Dongge Han, Wendelin Boehmer, Michael J. Wooldridge, Alex Rogers |
| 2019 | Multi-Agent Learning in Network Zero-Sum Games is a Hamiltonian System. James P. Bailey, Georgios Piliouras |
| 2019 | Multi-Agent Path Finding for UAV Traffic Management. Florence Ho, Ana Salta, Rúben Geraldes, Artur Goncalves, Marc Cavazza, Helmut Prendinger |
| 2019 | Multi-Agent Path Finding on Real Robots. Roman Barták, Ivan Krasicenko, Jirí Svancara |
| 2019 | Multi-Issue Opinion Diffusion under Constraints. Sirin Botan, Umberto Grandi, Laurent Perrussel |
| 2019 | Multi-agent Path Planning with Non-constant Velocity Motion. Ngai Meng Kou, Cheng Peng, Xiaowei Yan, Zhiyuan Yang, Heng Liu, Kai Zhou, Haibing Zhao, Lijun Zhu, Yinghui Xu |
| 2019 | Multi-unit Budget Feasible Mechanisms for Cellular Traffic Offloading. Jun Wu, Yuan Zhang, Yu Qiao, Lei Zhang, Chongjun Wang, Junyuan Xie |
| 2019 | Multiagent Adversarial Inverse Reinforcement Learning. Ermo Wei, Drew Wicke, Sean Luke |
| 2019 | Multiagent Disjunctive Temporal Networks. Nikhil Bhargava, Brian C. Williams |
| 2019 | Multiagent Learning and Coordination with Clustered Deep Q-Network. Simon Pageaud, Véronique Deslandres, Vassilissa Lehoux, Salima Hassas |
| 2019 | Multiagent Monte Carlo Tree Search. Nicholas Zerbel, Logan Yliniemi |
| 2019 | Multinomial HMMs for Intent Recognition in Maritime Domains. Logan Carlson, Dalton Navalta, Monica N. Nicolescu, Mircea Nicolescu, Gail Woodward |
| 2019 | Multiple Assignment Problems under Lexicographic Preferences. Hadi Hosseini, Kate Larson |
| 2019 | NAKED: N-Ary Graphs from Knowledge Bases Expressed in Datalog±. Bruno Yun, Madalina Croitoru, Srdjan Vesic, Pierre Bisquert |
| 2019 | Natural Strategic Ability under Imperfect Information. Wojciech Jamroga, Vadim Malvone, Aniello Murano |
| 2019 | Negative Update Intervals in Deep Multi-Agent Reinforcement Learning. Gregory Palmer, Rahul Savani, Karl Tuyls |
| 2019 | Newtonian Action Advice: Integrating Human Verbal Instruction with Reinforcement Learning. Samantha Krening, Karen M. Feigh |
| 2019 | NoRML: No-Reward Meta Learning. Yuxiang Yang, Ken Caluwaerts, Atil Iscen, Jie Tan, Chelsea Finn |
| 2019 | Novel Hedonic Games and Lottery Systems. Jacob Schlueter |
| 2019 | ONECG: Online Negotiation Environment for Coalitional Games. Siqi Chen, Yonghao Cui, Cong Shang, Jianye Hao, Gerhard Weiss |
| 2019 | Object Exchangability in Reinforcement Learning. John Mern, Dorsa Sadigh, Mykel J. Kochenderfer |
| 2019 | Observational Learning by Reinforcement Learning. Diana Borsa, Nicolas Heess, Bilal Piot, Siqi Liu, Leonard Hasenclever, Rémi Munos, Olivier Pietquin |
| 2019 | Obtaining Costly Unverifiable Valuations from a Single Agent. Erel Segal-Halevi, Shani Alkoby, Tomer Sharbaf, David Sarne |
| 2019 | Obvious Strategyproofness, Bounded Rationality and Approximation. Diodato Ferraioli, Carmine Ventre |
| 2019 | Obviously Strategyproof Mechanisms without Money for Scheduling. Maria Kyropoulou, Carmine Ventre |
| 2019 | On Domination and Control in Strategic Ability. Damian Kurpiewski, Michal Knapik, Wojciech Jamroga |
| 2019 | On Enactability of Agent Interaction Protocols: Towards a Unified Approach. Angelo Ferrando, Michael Winikoff, Stephen Cranefield, Frank Dignum, Viviana Mascardi |
| 2019 | On an Argument-centric Persuasion Framework. Yakoub Salhi |
| 2019 | On the Importance of Representations for Speech-Driven Gesture Generation. Taras Kucherenko, Dai Hasegawa, Naoshi Kaneko, Gustav Eje Henter, Hedvig Kjellström |
| 2019 | On the Maximization of Influence Over an Unknown Social Network. Bo Yan, Kexiu Song, Jiamou Liu, Fanku Meng, Yiping Liu, Hongyi Su |
| 2019 | On the Performance of Stable Outcomes in Modified Fractional Hedonic Games with Egalitarian Social Welfare. Gianpiero Monaco, Luca Moscardelli, Yllka Velaj |
| 2019 | On the Pitfalls of Measuring Emergent Communication. Ryan Lowe, Jakob N. Foerster, Y-Lan Boureau, Joelle Pineau, Yann N. Dauphin |
| 2019 | Online Abstraction with MDP Homomorphisms for Deep Learning. Ondrej Biza, Robert Platt Jr. |
| 2019 | Online Inverse Reinforcement Learning Under Occlusion. Saurabh Arora, Prashant Doshi, Bikramjit Banerjee |
| 2019 | Online Motion Concept Learning: A Novel Algorithm for Sample-Efficient Learning and Recognition of Human Actions. Miguel Vasco, Francisco S. Melo, David Martins de Matos, Ana Paiva, Tetsunari Inamura |
| 2019 | Online Resource Allocation with Matching Constraints. John P. Dickerson, Karthik Abinav Sankararaman, Kanthi Kiran Sarpatwar, Aravind Srinivasan, Kun-Lung Wu, Pan Xu |
| 2019 | Optimal Control of Complex Systems through Variational Inference with a Discrete Event Decision Process. Fan Yang, Bo Liu, Wen Dong |
| 2019 | Optimal Online Coverage Path Planning with Energy Constraints. Gokarna Sharma, Ayan Dutta, Jong-Hoon Kim |
| 2019 | Optimal Risk in Multiagent Blind Tournaments. Theodore J. Perkins |
| 2019 | Optimal Sequential Planning for Communicative Actions: A Bayesian Approach. Piotr J. Gmytrasiewicz, Sarit Adhikari |
| 2019 | Optimal Trip-Vehicle Dispatch with Multi-Type Requests. Taoan Huang, Bohui Fang, Hoon Oh, Xiaohui Bei, Fei Fang |
| 2019 | Optimal Value of Information Based Elicitation During Negotiation. Yasser F. O. Mohammad, Shinji Nakadai |
| 2019 | Optimising Worlds to Evaluate and Influence Reinforcement Learning Agents. Richard Everett, Adam D. Cobb, Andrew Markham, Stephen J. Roberts |
| 2019 | Outcome-based Partner Selection in Collective Risk Dilemmas. Fernando P. Santos, Samuel Francisco Mascarenhas, Francisco C. Santos, Filipa Correia, Samuel Gomes, Ana Paiva |
| 2019 | PAPOW: Papow Aggregates Preferences and Orderings to select Winners. Martin Jedwabny, Pierre Bisquert, Madalina Croitoru |
| 2019 | PLOTS: Procedure Learning from Observations using subTask Structure. Tong Mu, Karan Goel, Emma Brunskill |
| 2019 | PT-ISABB: A Hybrid Tree-based Complete Algorithm to Solve Asymmetric Distributed Constraint Optimization Problems. Yanchen Deng, Ziyu Chen, Dingding Chen, Xingqiong Jiang, Qiang Li |
| 2019 | Parameterized Complexity of Committee Elections with Dichotomous and Trichotomous Votes. Aizhong Zhou, Yongjie Yang, Jiong Guo |
| 2019 | Parameterized Heuristics for Incomplete Weighted CSPs with Elicitation Costs. Atena M. Tabakhi, William Yeoh, Makoto Yokoo |
| 2019 | Patrol Scheduling Against Adversaries with Varying Attack Durations. Hao-Tsung Yang, Shih-Yu Tsai, Kin Sum Liu, Shan Lin, Jie Gao |
| 2019 | Peer-to-Peer Negotiation for Optimising Journeys of Electric Vehicles on a Tour of Europe. Seyed Ali Hosseini, Diarmid Campbell, Marco Favorito, Jonathan Ward |
| 2019 | Personality-Based Representations of Imperfect-Recall Games. Andrea Celli, Giulia Romano, Nicola Gatti |
| 2019 | Persuasive Social Robots using Social Power Dynamics. Mojgan Hashemian |
| 2019 | Playing Atari with Six Neurons. Giuseppe Cuccu, Julian Togelius, Philippe Cudré-Mauroux |
| 2019 | Policy Networks: A Framework for Scalable Integration of Multiple Decision-Making Models. Kyle Hollins Wray, Shlomo Zilberstein |
| 2019 | Polynomial-Time Multi-Agent Pathfinding with Heterogeneous and Self-Interested Agents. Manao Machida |
| 2019 | Power Indices for Team Reformation Planning Under Uncertainty. Jonathan Cohen, Abdel-Illah Mouaddib |
| 2019 | Practical Application of a Multi-Agent Systems Society for Energy Management and Control. Tiago Pinto, Gabriel Santos, Zita A. Vale |
| 2019 | Prediction in Intelligence: An Empirical Comparison of Off-policy Algorithms on Robots. Banafsheh Rafiee, Sina Ghiassian, Adam White, Richard S. Sutton |
| 2019 | Preference Learning in Automated Negotiation Using Gaussian Uncertainty Models. Haralambie Leahu, Michael Kaisers, Tim Baarslag |
| 2019 | Preference-Based Fault Estimation in Autonomous Robots: Incompleteness and Meta-Diagnosis. Valentin Bouziat, Xavier Pucel, Stéphanie Roussel, Louise Travé-Massuyès |
| 2019 | Preferences and Ethical Priorities: Thinking Fast and Slow in AI. Francesca Rossi, Andrea Loreggia |
| 2019 | Priority driven Local Optimization for Crowd Simulation. Himangshu Saikia, Fangkai Yang, Christopher Peters |
| 2019 | Privacy-Preserving Federated Data Sharing. Ferdinando Fioretto, Pascal Van Hentenryck |
| 2019 | Proactive Distributed Constraint Optimization Problems. Khoi D. Hoang |
| 2019 | Probabilistic Resource-bounded Alternating-time Temporal Logic. Hoang Nga Nguyen, Abdur Rakib |
| 2019 | Problems in Computational Mechanism Design. Garima Shakya |
| 2019 | Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, AAMAS '19, Montreal, QC, Canada, May 13-17, 2019 Edith Elkind, Manuela Veloso, Noa Agmon, Matthew E. Taylor |
| 2019 | Proportional Representation in Elections: STV vs PAV. Piotr Faliszewski, Piotr Skowron, Stanislaw Szufa, Nimrod Talmon |
| 2019 | Protagonist vs Antagonist PROVANT: Narrative Generation as Counter Planning. Julie Porteous, Alan Lindsay |
| 2019 | RE-ORG: An Online Repositioning Guidance Agent. Muralidhar Konda, Pradeep Varakantham, Aayush Saxena, Meghna Lowalekar |
| 2019 | RLBOA: A Modular Reinforcement Learning Framework for Autonomous Negotiating Agents. Jasper Bakker, Aron Hammond, Daan Bloembergen, Tim Baarslag |
| 2019 | Reachability and Coverage Planning for Connected Agents. Tristan Charrier, Arthur Queffelec, Ocan Sankur, François Schwarzentruber |
| 2019 | Reaching Cooperation using Emerging Empathy and Counter-empathy. Jize Chen, Changhong Wang |
| 2019 | Reasoning about Changes of Observational Power in Logics of Knowledge and Time. Aurèle Barrière, Bastien Maubert, Aniello Murano, Sasha Rubin |
| 2019 | Recognising and Explaining Bidding Strategies in Negotiation Support Systems. Vincent J. Koeman, Koen V. Hindriks, Jonathan Gratch, Catholijn M. Jonker |
| 2019 | Reducing Sampling Error in Policy Gradient Learning. Josiah P. Hanna, Peter Stone |
| 2019 | Regular Decision Processes: Modelling Dynamic Systems without Using Hidden Variables. Ronen I. Brafman, Giuseppe De Giacomo |
| 2019 | Reinforcement Learning for Cooperative Overtaking. Chao Yu, Xin Wang, Jianye Hao, Zhanbo Feng |
| 2019 | Reinforcement Learning in Stationary Mean-field Games. Jayakumar Subramanian, Aditya Mahajan |
| 2019 | Reinforcement Learning with Derivative-Free Exploration. Xiong-Hui Chen, Yang Yu |
| 2019 | Removing Malicious Nodes from Networks. Sixie Yu, Yevgeniy Vorobeychik |
| 2019 | Removing the Target Network from Deep Q-Networks with the Mellowmax Operator. Seungchan Kim, Kavosh Asadi, Michael L. Littman, George Dimitri Konidaris |
| 2019 | Report-Sensitive Spot-checking in Peer Grading Systems. Hedayat Zarkoob, Hu Fu, Kevin Leyton-Brown |
| 2019 | Resolving Conflicts in Clinical Guidelines using Argumentation. Kristijonas Cyras, Tiago Oliveira |
| 2019 | Resource-bounded ATL: the Quest for Tractable Fragments. Francesco Belardinelli, Stéphane Demri |
| 2019 | Responsible Autonomy. Carles Sierra |
| 2019 | Rethinking the Neutrality Axiom in Judgment Aggregation. Zoi Terzopoulou, Ulle Endriss |
| 2019 | Revenue Maximization with Imprecise Distribution. Yingkai Li, Pinyan Lu, Haoran Ye |
| 2019 | Risk Averse Reinforcement Learning for Mixed Multi-agent Environments. Sai Koti Reddy Danda, Amrita Saha, Srikanth G. Tamilselvam, Priyanka Agrawal, Pankaj Dayama |
| 2019 | Robot Learning by Collaborative Network Training: A Self-Supervised Method using Ranking. Mason Bretan, Sageev Oore, Siddharth Sanan, Larry P. Heck |
| 2019 | Robust Decentralised Agent Based Approach for Microgrid Energy Management. Sandra Garcia-Rodriguez, Jorge J. Gómez-Sanz |
| 2019 | Robust Peer-Monitoring on Graphs with an Application to Suicide Prevention in Social Networks. Aida Rahmattalabi, Phebe Vayanos, Anthony Fulginiti, Milind Tambe |
| 2019 | Robust Temporal Difference Learning for Critical Domains. Richard Klíma, Daan Bloembergen, Michael Kaisers, Karl Tuyls |
| 2019 | Robustness against Agent Failure in Hedonic Games. Ayumi Igarashi, Kazunori Ota, Yuko Sakurai, Makoto Yokoo |
| 2019 | Role of Emotions in Perception of Humanness of Virtual Agents. Moojan Ghafurian, Neil Budnarain, Jesse Hoey |
| 2019 | Runtime Revision of Norms and Sanctions based on Agent Preferences. Davide Dell'Anna, Mehdi Dastani, Fabiano Dalpiaz |
| 2019 | STV: Model Checking for Strategies under Imperfect Information. Damian Kurpiewski, Wojciech Jamroga, Michal Knapik |
| 2019 | Safe Policy Search Using Gaussian Process Models. Kyriakos Polymenakos, Alessandro Abate, Stephen J. Roberts |
| 2019 | Selective Information Disclosure in Contests. Priel Levy, David Sarne, Yonatan Aumann |
| 2019 | Self-Improving Generative Adversarial Reinforcement Learning. Yang Liu, Yifeng Zeng, Yingke Chen, Jing Tang, Yinghui Pan |
| 2019 | Sharing is Caring: Dynamic Mechanism for Shared Resource Ownership. Ridi Hossain |
| 2019 | Simple Contrapositive Assumption-Based Frameworks. Jesse Heyninck, Ofer Arieli |
| 2019 | Single Transferable Vote: Incomplete Knowledge and Communication Issues. Manel Ayadi, Nahla Ben Amor, Jérôme Lang, Dominik Peters |
| 2019 | Smart Targets to Avoid Observation in CTO Problem. Thayanne França da Silva, José Luis Alves Leite, Raimundo Juracy Campos Ferro Junior, Leonardo Ferreira da Costa, Raphael Pinheiro de Souza, João Pedro Bernardino Andrade, Gustavo Augusto Lima de Campos |
| 2019 | Social Mobilization to Reposition Indiscriminately Parked Shareable Bikes. Zelei Liu, Han Yu, Leye Wang, Liang Hu, Qiang Yang |
| 2019 | Social Power in Human-Robot Interaction: Towards More Persuasive Robots. Mojgan Hashemian, Ana Paiva, Samuel Mascarenhas, Pedro Alexandre Santos, Rui Prada |
| 2019 | Soft Labeling in Stochastic Shortest Path Problems. Luis Enrique Pineda, Shlomo Zilberstein |
| 2019 | Stability in FEN-Hedonic Games for Single-Player Deviations. Anna Maria Kerkmann, Jörg Rothe |
| 2019 | Stability of Human-Inspired Agent Societies. Joe Collenette, Katie Atkinson, Daan Bloembergen, Karl Tuyls |
| 2019 | Stackelberg Equilibrium Approximation in General-Sum Extensive-Form Games with Double-Oracle Sampling Method. Jan Karwowski, Jacek Mandziuk |
| 2019 | Stochastic Variance Reduction for Deep Q-learning. Wei-Ye Zhao, Jian Peng |
| 2019 | Strategic Location and Network Formation Games. Louise Molitor |
| 2019 | Strategic Majoritarian Voting with Propositional Goals. Arianna Novaro, Umberto Grandi, Dominique Longin, Emiliano Lorini |
| 2019 | Strategic Responsibility Under Imperfect Information. Vahid Yazdanpanah, Mehdi Dastani, Wojciech Jamroga, Natasha Alechina, Brian Logan |
| 2019 | Strategyproof Facility Location for Three Agents on a Circle. Reshef Meir |
| 2019 | Stream Reasoning Agents: Blue Sky Ideas Track. Riccardo Tommasini, Davide Calvaresi, Jean-Paul Calbimonte |
| 2019 | Student-Project-Resource Matching-Allocation Problems: Two-Sided Matching Meets Resource Allocation. Anisse Ismaili, Kentaro Yahiro, Tomoaki Yamaguchi, Makoto Yokoo |
| 2019 | Studies on the Computational Modeling and Design of Financial Markets. Xintong Wang |
| 2019 | Summary: Distributed Task Assignment and Path Planning with Limited Communication for Robot Teams. Dario Albani, Wolfgang Hönig, Nora Ayanian, Daniele Nardi, Vito Trianni |
| 2019 | Supple: Multiagent Communication Protocols with Causal Types. Akin Günay, Amit K. Chopra, Munindar P. Singh |
| 2019 | Swarms Can be Rational. Yinon Douchan, Ran Wolf, Gal A. Kaminka |
| 2019 | Synthesizing Explainable Behavior for Human-AI Collaboration. Subbarao Kambhampati |
| 2019 | TBQ(σ): Improving Efficiency of Trace Utilization for Off-Policy Reinforcement Learning. Longxiang Shi, Shijian Li, Longbing Cao, Long Yang, Gang Pan |
| 2019 | Tangible Robotic Fleet Control. David St-Onge, Vivek Shankar Varadharajan, Giovanni Beltrame |
| 2019 | Task and Path Planning for Multi-Agent Pickup and Delivery. Minghua Liu, Hang Ma, Jiaoyang Li, Sven Koenig |
| 2019 | Teaching Agents Through Correction. Mattias Appelgren |
| 2019 | Teaching Social Behavior through Human Reinforcement for Ad hoc Teamwork - The STAR Framework: Extended Abstract. Shani Alkoby, Avilash Rath, Peter Stone |
| 2019 | Testing Individual-Based Stability Properties in Graphical Hedonic Games. Hendrik Fichtenberger, Amer Krivosija, Anja Rey |
| 2019 | Testing Preferential Domains Using Sampling. Palash Dey, Swaprava Nath, Garima Shakya |
| 2019 | The Body is Not a Given: Joint Agent Policy Learning and Morphology Evolution. Dylan Banarse, Yoram Bachrach, Siqi Liu, Guy Lever, Nicolas Heess, Chrisantha Fernando, Pushmeet Kohli, Thore Graepel |
| 2019 | The Complexity of the Possible Winner Problem with Partitioned Preferences. Batya Kenig |
| 2019 | The DARPA SocialSim Challenge: Massive Multi-Agent Simulations of the Github Ecosystem. James Blythe, Emilio Ferrara, Di Huang, Kristina Lerman, Goran Muric, Anna Sapienza, Alexey Tregubov, Diogo Pacheco, John Bollenbacher, Alessandro Flammini, Pik-Mai Hui, Filippo Menczer |
| 2019 | The Diverse Cohort Selection Problem. Candice Schumann, Samsara N. Counts, Jeffrey S. Foster, John P. Dickerson |
| 2019 | The Effect of First- and Third-person POVs on Different Cultural Communication: How Japanese People Understand Social Conversation at Thai Night Flea Markets. Sutasinee Thovuttikul, Yoshimasa Ohmoto, Toyoaki Nishida |
| 2019 | The Effect of Virtual Agent Warmth on Human-Agent Negotiation. Pooja Prajod, Mohammed Al Owayyed, Tim Rietveld, Jaap-Jan van der Steeg, Joost Broekens |
| 2019 | The Gift Exchange Game: Managing Opponent Actions. Steven Damer, Maria L. Gini, Jeffrey S. Rosenschein |
| 2019 | The Imitation Game: Learned Reciprocity in Markov games. Tom Eccles, Edward Hughes, János Kramár, Steven Wheelwright, Joel Z. Leibo |
| 2019 | The Impact of Agent Definitions and Interactions on Multiagent Learning for Coordination. Jen Jen Chung, Damjan Miklic, Lorenzo Sabattini, Kagan Tumer, Roland Siegwart |
| 2019 | The Matrix: An Agent-Based Modeling Framework for Data Intensive Simulations. Parantapa Bhattacharya, Saliya Ekanayake, Chris J. Kuhlman, Christian Lebiere, Don Morrison, Samarth Swarup, Mandy L. Wilson, Mark G. Orr |
| 2019 | The Multimodal Correction Detection Problem. Amos Azaria, Keren Nivasch |
| 2019 | The Representational Capacity of Action-Value Networks for Multi-Agent Reinforcement Learning. Jacopo Castellini, Frans A. Oliehoek, Rahul Savani, Shimon Whiteson |
| 2019 | The Rise and Fall of Complex Family Structures: Coalition Formation, Stability, and Power Struggle. Angelina Brilliantova, Anton Pletenev, Hadi Hosseini |
| 2019 | The StarCraft Multi-Agent Challenge. Mikayel Samvelyan, Tabish Rashid, Christian Schröder de Witt, Gregory Farquhar, Nantas Nardelli, Tim G. J. Rudner, Chia-Man Hung, Philip H. S. Torr, Jakob N. Foerster, Shimon Whiteson |
| 2019 | The Unbroken Telephone Game: Keeping Swarms Connected. Vivek Shankar Varadharajan, Bram Adams, Giovanni Beltrame |
| 2019 | The Volatility of Weak Ties: Co-evolution of Selection and Influence in Social Networks. Jie Gao, Grant Schoenebeck, Fang-Yi Yu |
| 2019 | Thompson Sampling Based Multi-Armed-Bandit Mechanism Using Neural Networks. Padala Manisha, Sujit Gujar |
| 2019 | To be Big Picture Thinker or Detail-Oriented?: Utilizing Perceived Gist Information to Achieve Efficient Convention Emergence with Bilateralism and Multilateralism. Shuyue Hu, Chin-wing Leung, Ho-fung Leung, Jiamou Liu |
| 2019 | Toward Robust Policy Summarization. Isaac Lage, Daphna Lifschitz, Finale Doshi-Velez, Ofra Amir |
| 2019 | Towards Accurate Deep-Sea Localization in Structured Environments based on Perception Quality Cues. Arturo Gomez Chavez, Qingwen Xu, Christian A. Mueller, Sören Schwertfeger, Andreas Birk |
| 2019 | Towards Completing the Puzzle: Solving Open Problems for Control in Elections. Gábor Erdélyi, Christian Reger, Yongjie Yang |
| 2019 | Towards Decentralized Reinforcement Learning Architectures for Social Dilemmas. Nicolas Anastassacos, Mirco Musolesi |
| 2019 | Towards Modeling the Interplay of Personality, Motivation, Emotion, and Mood in Social Agents. Maayan Shvo, Jakob Buhmann, Mubbasir Kapadia |
| 2019 | Towards Predictive Execution Monitoring in BDI Recipes. Mika Barkan, Gal A. Kaminka |
| 2019 | Towards a "Master Algorithm" for Forming Faster Conventions On Various Networks. Mohammad Rashedul Hasan |
| 2019 | Towards a Prototypical Approach to Tool-Use Improvisation. Madhura Thosar, Christian A. Mueller, Sebastian Zug, Max Pfingsthorn |
| 2019 | Tracing Equilibrium in Dynamic Markets via Distributed Adaptation. Yun Kuen Cheung, Martin Hoefer, Paresh Nakhe |
| 2019 | Traffic3D: A New Traffic Simulation Paradigm. Deepeka Garg, Maria Chli, George Vogiatzis |
| 2019 | Training Cooperative Agents for Multi-Agent Reinforcement Learning. Sushrut Bhalla, Sriram Ganapathi Subramanian, Mark Crowley |
| 2019 | Trust-Aware Behavior Reflection for Robot Swarm Self-Healing. Rui Liu, Fan Jia, Wenhao Luo, Meghan Chandarana, Changjoo Nam, Michael Lewis, Katia P. Sycara |
| 2019 | Trusted AI and the Contribution of Trust Modeling in Multiagent Systems. Robin Cohen, Mike Schaekermann, Sihao Liu, Michael Cormier |
| 2019 | Truthful Mechanisms for Location Games of Dual-Role Facilities. Xujin Chen, Minming Li, Changjun Wang, Chenhao Wang, Yingchao Zhao |
| 2019 | Truthfulness on a Budget: Trading Money for Approximation through Monitoring. Paolo Serafino, Carmine Ventre, Angelina Vidali |
| 2019 | Two-stage N-person Prisoner's Dilemma with Social Preferences. Seiji Takanashi, Makoto Yokoo |
| 2019 | Type Checking for Protocol Role Enactments via Commitments. Matteo Baldoni, Cristina Baroglio, Federico Capuzzimati, Roberto Micalizio |
| 2019 | Unsupervised Role Discovery Using Temporal Observations of Agents. Andrew Silva, Sonia Chernova |
| 2019 | Urban Driving with Multi-Objective Deep Reinforcement Learning. Changjian Li, Krzysztof Czarnecki |
| 2019 | Using Causal Analysis to Learn Specifications from Task Demonstrations. Daniel Angelov, Yordan Hristov, Subramanian Ramamoorthy |
| 2019 | Using Game Theory in Real Time in the Real World: A Conservation Case Study. Elizabeth Bondi, Hoon Oh, Haifeng Xu, Fei Fang, Bistra Dilkina, Milind Tambe |
| 2019 | Using Reinforcement Learning to Optimize the Policies of an Intelligent Tutoring System for Interpersonal Skills Training. Kallirroi Georgila, Mark G. Core, Benjamin D. Nye, Shamya Karumbaiah, Daniel Auerbach, Maya Ram |
| 2019 | Using Social and Physiological Signals for User Adaptation in Conversational Agents. Patrik Jonell |
| 2019 | Using Surrogate Models to Calibrate Agent-based Model Parameters Under Data Scarcity. Priscilla Avegliano, Jaime Simão Sichman |
| 2019 | Verifying Strategic Abilities in Multi-agent Systems with Private Data-Sharing. Francesco Belardinelli, Ioana Boureanu, Catalin Dima, Vadim Malvone |
| 2019 | ViTALiSE: Virtual to Augmented Loop in Smart Environments. Stefano Mariani, Angelo Croatti, Alessandro Ricci, Andrea Prati, Giuseppe Vizzari |
| 2019 | Vote For Me!: Election Control via Social Influence in Arbitrary Scoring Rule Voting Systems. Federico Corò, Emilio Cruciani, Gianlorenzo D'Angelo, Stefano Ponziani |
| 2019 | Warning Time: Optimizing Strategic Signaling for Security Against Boundedly Rational Adversaries. Sarah Cooney, Phebe Vayanos, Thanh Hong Nguyen, Cleotilde Gonzalez, Christian Lebiere, Edward A. Cranford, Milind Tambe |
| 2019 | Well-behaved Online Load Balancing Against Strategic Jobs. Bo Li, Minming Li, Xiaowei Wu |
| 2019 | What If I Speak Now?: A Decision-Theoretic Approach to Personality-Based Turn-Taking. Kathrin Janowski, Elisabeth André |
| 2019 | What do we express without knowing?: Emotion in Gesture. Gabriel Castillo, Michael Neff |
| 2019 | When to Stop for Safe Manipulation in Unstructured Environments? Abdullah Cihan Ak, Arda Inceoglu, Sanem Sariel |
| 2019 | X*: Anytime Multiagent Planning With Bounded Search. Kyle Vedder, Joydeep Biswas |
| 2019 | Your 2 is My 1, Your 3 is My 9: Handling Arbitrary Miscalibrations in Ratings. Jingyan Wang, Nihar B. Shah |
| 2019 | eXplainable Modeling (XM): Data Analysis for Intelligent Agents. Alberto Castellini, Francesco Masillo, Riccardo Sartea, Alessandro Farinelli |