AAMAS - RankMe

370 papers

Year	Title / Authors
2020	A Bridge between Polynomial Optimization and Games with Imperfect Recall. Hugo Gimbert, Soumyajit Paul, B. Srivathsan
2020	A Budget-Limited Mechanism for Category-Aware Crowdsourcing Systems. Yuan Luo, Nicholas R. Jennings
2020	A Computational Model of Hurricane Evacuation Decision. Nutchanon Yongsatianchot, Stacy Marsella
2020	A Consensus-based Group Decision Support System using a Multi-Agent MicroServices Approach: Demonstration. João Carneiro, Rui Andrade, Patrícia Alves, Luís Conceição, Paulo Novais, Goreti Marreiros
2020	A Decentralized Multi-Agent Coordination Method for Dynamic and Constrained Production Planning. Marin Lujak, Alberto Fernández, Eva Onaindia
2020	A Deliberate BIAT Logic for Modeling Manipulations. Christopher Leturc, Grégory Bonnet
2020	A Design-Methodology for Epidemic Dynamics via Time-Varying Hypergraphs. Alessia Antelmi, Gennaro Cordasco, Carmine Spagnuolo, Vittorio Scarano
2020	A Formal Framework for Reasoning about Opportunistic Propensity in Multi-agent Systems. Jieting Luo, John-Jules Ch. Meyer, Max Knobbout
2020	A Framework for Collaborative and Interactive Agent-oriented Developer Operations. Cleber Jorge Amaral, Timotheus Kampik, Stephen Cranefield
2020	A Game Theoretic Approach For k-Core Minimization. Sourav Medya, Tianyi Ma, Arlei Silva, Ambuj K. Singh
2020	A General Framework for Energy-Efficient Cloud Computing Mechanisms. Antonios Antoniadis, Andrés Cristi, Tim Oosterwijk, Alkmini Sgouritsa
2020	A Generic Metaheuristic Approach to Sequential Security Games. Adam Zychowski, Jacek Mandziuk
2020	A Multi-Robot Platform for the Autonomous Operation and Maintenance of Offshore Wind Farms. Sara Bernardini, Ferdian Jovan, Zhengyi Jiang, Simon Watson, Andrew Weightman, Peiman Moradi, Tom Richardson, Rasoul Sadeghian, Sina Sareh
2020	A New Framework for Multi-Agent Reinforcement Learning - Centralized Training and Exploration with Decentralized Execution via Policy Distillation. Gang Chen
2020	A Novel Individually Rational Objective In Multi-Agent Multi-Armed Bandits: Algorithms and Regret Bounds. Aristide C. Y. Tossou, Christos Dimitrakakis, Jaroslaw Rzepecki, Katja Hofmann
2020	A POMDP-based Method for Analyzing Blockchain System Security Against Long Delay Attack: (Extended Abstract). Shuangfeng Zhang, Yuan Liu, Xingren Chen, Xin Zhou
2020	A Performance-Based Start State Curriculum Framework for Reinforcement Learning. Jan Wöhlke, Felix Schmitt, Herke van Hoof
2020	A Qualitative Approach to Composing Value-Aligned Norm Systems. Marc Serramia, Maite López-Sánchez, Juan A. Rodríguez-Aguilar
2020	A Story of Two Streams: Reinforcement Learning Models from Human Behavior and Neuropsychiatry. Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf, Jenna M. Reinen, Irina Rish
2020	A Structural Solution to Sequential Moral Dilemmas. Manel Rodriguez-Soto, Maite López-Sánchez, Juan A. Rodríguez-Aguilar
2020	A Study of Incentive Compatibility and Stability Issues in Fractional Matchings. Shivika Narang, Yadati Narahari
2020	A Supervised Topic Model Approach to Learning Effective Styles within Human-Agent Negotiation. Yuyu Xu, David C. Jeong, Pedro Sequeira, Jonathan Gratch, Javed Aslam, Stacy Marsella
2020	A Theoretical Framework for Self-Organized Task Allocation in Large Swarms. John Harwell
2020	A Utility-Based Perspective on Multi-Objective Multi-Agent Decision Making. Roxana Radulescu
2020	A Very Condensed Survey and Critique of Multiagent Deep Reinforcement Learning. Pablo Hernandez-Leal, Bilal Kartal, Matthew E. Taylor
2020	AED: An Anytime Evolutionary DCOP Algorithm. Saaduddin Mahmud, Moumita Choudhury, Md. Mosaddek Khan, Long Tran-Thanh, Nicholas R. Jennings
2020	AI for Advancing Scientific Discovery for a Sustainable Future. Carla P. Gomes
2020	AI-assisted Schedule Explainer for Nurse Rostering. Kristijonas Cyras, Amin Karamlou, Myles Lee, Dimitrios Letsios, Ruth Misener, Francesca Toni
2020	Achieving Emergent Governance in Competitive Multi-Agent Systems. Michael Pernpeintner
2020	Adaptive Agent-Based Simulation for Individualized Training. Johan Källström
2020	Adaptive Autonomy in Wireless Sensor Networks. Mirgita Frasheri, José Manuel Cano-García, Eva González-Parada, Baran Çürüklü, Mikael Ekström, Alessandro Vittorio Papadopoulos, Cristina Urdiales
2020	Adaptive Knowledge Transfer based on Transfer Neural Kernel Network. Pengfei Wei, Xinghua Qu, Yiping Ke, Tze-Yun Leong, Yew-Soon Ong
2020	Adaptive and Collaborative Agent-based Traffic Regulation using Behavior Trees. Arthur Casals, Assia Belbachir, Amal El Fallah Seghrouchni
2020	Adversarial Patrolling with Drones. David Klaska, Antonín Kucera, Vojtech Rehák
2020	Agent Ontology Alignment Repair through Dynamic Epistemic Logic. Line van den Berg, Manuel Atencia, Jérôme Euzenat
2020	Agents Teaching Agents: A Survey on Inter-agent Transfer Learning. Felipe Leno da Silva, Garrett Warnell, Anna Helena Reali Costa, Peter Stone
2020	Agents are Dead. Long live Agents! Virginia Dignum, Frank Dignum
2020	Aggregation of Support-Relations of Bipolar Argumentation Frameworks. Weiwei Chen
2020	Algorithmic Fairness for Networked Algorithms. Ana-Andreea Stoica
2020	Algorithms for Swap and Shift Bribery in Structured Elections. Edith Elkind, Piotr Faliszewski, Sushmita Gupta, Sanjukta Roy
2020	Alternative Function Approximation Parameterizations for Solving Games: An Analysis of ƒ-Regression Counterfactual Regret Minimization. Ryan D'Orazio, Dustin Morrill, James R. Wright, Michael Bowling
2020	An Abstract Framework for Agent-Based Explanations in AI. Giovanni Ciatto, Davide Calvaresi, Michael Ignaz Schumacher, Andrea Omicini
2020	An Active Learning Method for the Comparison of Agent-based Models. Swapna Thorve, Zhihao Hu, Kiran Lakkaraju, Joshua Letchford, Anil Vullikanti, Achla Marathe, Samarth Swarup
2020	An Agent-Based Model for Trajectory Modelling in Shared Spaces: A Combination of Expert-Based and Deep Learning Approaches. Fatema T. Johora, Hao Cheng, Jörg P. Müller, Monika Sester
2020	An Axiomatic Approach to Truth Discovery. Joseph Singleton, Richard Booth
2020	An Information Distribution Method for Avoiding Hunting Phenomenon in Theme Parks. Hiroaki Yamada, Naoyuki Kamiyama
2020	An Interpretable Multimodal Visual Question Answering System using Attention-based Weighted Contextual Features. Yu Wang, Yilin Shen, Hongxia Jin
2020	Analyzing Reinforcement Learning Benchmarks with Random Weight Guessing. Declan Oller, Tobias Glasmachers, Giuseppe Cuccu
2020	Analyzing the Effects of Memory Biases and Mood Disorders on Social Performance. Nanda Kishore Sreenivas, Shrisha Rao
2020	Anchor Attention for Hybrid Crowd Forecasts Aggregation. Yuzhong Huang, Andrés Abeliuk, Fred Morstatter, Pavel Atanasov, Aram Galstyan
2020	Anchoring Theory in Sequential Stackelberg Games. Jan Karwowski, Jacek Mandziuk, Adam Zychowski
2020	Aplib: An Agent Programming Library for Testing Games. I. S. W. B. Prasetya, Mehdi Dastani
2020	Approximate Nash Equilibria of Imitation Games: Algorithms and Complexity. Aniket Murhekar, Ruta Mehta
2020	Approximately Stable Matchings with General Constraints. Yasushi Kawase, Atsushi Iwasaki
2020	Argumentation is More Important than Appearance for Designing Culturally Tailored Virtual Agents. Prasanth Murali, Ameneh Shamekhi, Dhaval Parmar, Timothy W. Bickmore
2020	Automated Configuration of Negotiation Strategies. Bram M. Renting, Holger H. Hoos, Catholijn M. Jonker
2020	Automated Justification of Collective Decisions via Constraint Solving. Arthur Boixel, Ulle Endriss
2020	Automatic Curricula in Deep Multi-Agent Reinforc ement Learning. Thore Graepel
2020	Automatic Synthesis of Generalized Winning Strategy of Impartial Combinatorial Games. Kaisheng Wu, Yong Qiao, Kaidong Chen, Fei Rong, Liangda Fang, Zhao-Rong Lai, Qian Dong, Liping Xiong
2020	Automating Coordinated Autonomous Vehicle Control. Allen Huang, Geoff Nitschke
2020	Autonomous Shape Formation and Morphing in a Dynamic Environment by a Swarm of Robots: Extended Abstract. Vaibhav Bajaj, Sachit Rao
2020	Balance Between Scalability and Optimality in Network Security Games. Kai Wang
2020	Ballooning Multi-Armed Bandits. Ganesh Ghalme, Swapnil Dhamal, Shweta Jain, Sujit Gujar, Y. Narahari
2020	Bayesian Active Malware Analysis. Riccardo Sartea, Georgios Chalkiadakis, Alessandro Farinelli, Matteo Murari
2020	Bayesian Nash Equilibrium in First-Price Auction with Discrete Value Distributions. Zihe Wang, Weiran Shen, Song Zuo
2020	BitcoinF: Achieving Fairness For Bitcoin In Transaction Fee Only Model. Shoeb Siddiqui, Ganesh Vanahalli, Sujit Gujar
2020	Boolean Games: Inferring Agents' Goals Using Taxation Queries. Abhijin Adiga, Sarit Kraus, S. S. Ravi
2020	Building Cities from Slime Mould, Agents and Quantum Field Theory. Alison J. Heppenstall, Nick Malleson
2020	C-CoCoA: A Continuous Cooperative Constraint Approximation Algorithm to Solve Functional DCOPs. Amit Sarker, Abdullahil Baki Arif, Moumita Choudhury, Md. Mosaddek Khan
2020	COMBIMA: Truthful, Budget Maintaining, Dynamic Combinatorial Market. Rica Gonen, Ozi Egri
2020	Can Agents Learn by Analogy?: An Inferable Model for PAC Reinforcement Learning. Yanchao Sun, Furong Huang
2020	Candidate Selections with Proportional Fairness Constraints. Xiaohui Bei, Shengxin Liu, Chung Keung Poon, Hongao Wang
2020	Capacity, Bandwidth, and Compositionality in Emergent Language Learning. Cinjon Resnick, Abhinav Gupta, Jakob N. Foerster, Andrew M. Dai, Kyunghyun Cho
2020	Capturing Oracle Guided Hiders. Akshat Tandon, Kamalakar Karlapalem
2020	Cautious Reinforcement Learning with Logical Constraints. Mohammadhosein Hasanbeig, Alessandro Abate, Daniel Kroening
2020	Cluster-Based Social Reinforcement Learning. Mahak Goindani, Jennifer Neville
2020	CoMet: A Meta Learning-Based Approach for Cross-Dataset Labeling Using Co-Training. Guy Zaks, Gilad Katz
2020	Coalitional Games with Stochastic Characteristic Functions Defined by Private Types. Dengji Zhao, Yiqing Huang, Liat Cohen, Tal Grinshpoun
2020	Collaborative Data Acquisition. Wen Zhang, Yao Zhang, Dengji Zhao
2020	Combining No-regret and Q-learning. Ian A. Kash, Michael Sullins, Katja Hofmann
2020	Competence-Aware Systems for Long-Term Autonomy. Connor Basich
2020	Competitive Ratios for Online Multi-capacity Ridesharing. Meghna Lowalekar, Pradeep Varakantham, Patrick Jaillet
2020	Competitive and Cooperative Heterogeneous Deep Reinforcement Learning. Han Zheng, Jing Jiang, Pengfei Wei, Guodong Long, Chengqi Zhang
2020	Complexity of Election Evaluation and Probabilistic Robustness: Extended Abstract. Dorothea Baumeister, Tobias Hogrebe
2020	Computational Methods for Simulating Biased Agents. Jaelle Scheuerman
2020	Computationally Grounded Quantitative Trust with Time. Nagat Drawel, Jamal Bentahar, Hongyang Qu
2020	Computer-aided Reasoning about Collective Decision Making. Arthur Boixel
2020	Computing Competitive Equilibria with Mixed Manna. Jugal Garg, Peter McGlaughlin
2020	Computing Desirable Partitions in Coalition Formation Games. Martin Bullinger
2020	Computing the Shapley Value for Ride-Sharing and Routing Games. Chaya Levinger, Noam Hazon, Amos Azaria
2020	Conditional Updates of Answer Set Programming and Its Application in Explainable Planning. Van Nguyen, Tran Cao Son, Vasileiou Loukas Stylianos, William Yeoh
2020	Continuous Influence Maximisation for the Voter Dynamics: Is Targeting High-Degree Nodes a Good Strategy? Guillermo Romero Moreno, Long Tran-Thanh, Markus Brede
2020	Convexity of Hypergraph Matching Game. Soh Kumabe, Takanori Maehara
2020	Cooperative Real-Time Inertial Parameter Estimation. Marina Moreira, Brian Coltin, Rodrigo Ventura
2020	Coordination of Prosumer Agents via Distributed Optimal Power Flow: An Edge Computing Hardware Prototype. Daniel Gebbran, Gregor Verbic, Archie C. Chapman, Sleiman Mhanna
2020	CopyCAT: : Taking Control of Neural Policies with Constant Attacks. Léonard Hussenot, Matthieu Geist, Olivier Pietquin
2020	Cost Effective Interventions in Complex Networks Using Agent-Based Modelling and Simulations. Theodor Cimpeanu
2020	Culture-Based Explainable Human-Agent Deconfliction. Alex Raymond, Hatice Gunes, Amanda Prorok
2020	DALI: An Agent-Plug-In System to "Smartify" Conventional Traffic Control Systems. Behnam Torabi, Rym Zalila-Wenkstern
2020	DCRAC: Deep Conditioned Recurrent Actor-Critic for Multi-Objective Partially Observable Environments. Xiaodong Nian, Athirai Aravazhi Irissappane, Diederik M. Roijers
2020	Decentralised Runtime Norm Synthesis. Andreasa Morris-Martin
2020	Decentralized Task Assignment for Multi-item Pickup and Delivery in Logistic Scenarios. Alessandro Farinelli, Antonello Contini, Davide Zorzi
2020	Decomposed Deep Reinforcement Learning for Robotic Control. Yinzhao Dong, Chao Yu, Paul Weng, Ahmed Maustafa, Hui Cheng, Hongwei Ge
2020	Deep Reinforcement Learning for Market Making. Pankaj Kumar
2020	Deep Residual Reinforcement Learning. Shangtong Zhang, Wendelin Boehmer, Shimon Whiteson
2020	Demystifying Emergent Intelligence and Its Effect on Performance In Large Robot Swarms. John Harwell, London Lowmanstone, Maria L. Gini
2020	Deployment of a Plug-In Multi-Agent System for Traffic Signal Timing. Behnam Torabi, Rym Zalila-Wenkstern, Robert Saylor, Patrick Ryan
2020	Designing Effective and Practical Interventions to Contain Epidemics. Prathyush Sambaturu, Bijaya Adhikari, B. Aditya Prakash, Srinivasan Venkatramanan, Anil Vullikanti
2020	Designing Truthful Contextual Multi-Armed Bandits based Sponsored Search Auctions. Kumar Abhishek, Shweta Jain, Sujit Gujar
2020	Differentially Private Contextual Dynamic Pricing. Wei Tang, Chien-Ju Ho, Yang Liu
2020	Discovering Imperfectly Observable Adversarial Actions using Anomaly Detection. Olga Petrova, Karel Durkota, Galina Alperovich, Karel Horák, Michal Najman, Branislav Bosanský, Viliam Lisý
2020	Distance Hedonic Games. Michele Flammini, Bojana Kodric, Martin Olsen, Giovanna Varricchio
2020	Distributed Reinforcement Learning for Cooperative Multi-Robot Object Manipulation. Guohui Ding, Joewie J. Koh, Kelly Merckaert, Bram Vanderborght, Marco M. Nicotra, Christoffer Heckman, Alessandro Roncone, Lijun Chen
2020	Distributed, Automated Calibration of Agent-based Model Parameters and Agent Behaviors. Matteo D'Auria, Eric O. Scott, Rajdeep Singh Lather, Javier Hilty, Sean Luke
2020	Drawing a Map of Elections in the Space of Statistical Cultures. Stanislaw Szufa, Piotr Faliszewski, Piotr Skowron, Arkadii Slinko, Nimrod Talmon
2020	Driving Exploration by Maximum Distribution in Gaussian Process Bandits. Alessandro Nuara, Francesco Trovò, Dominic Crippa, Nicola Gatti, Marcello Restelli
2020	Dueling Bandits: From Two-dueling to Multi-dueling. Yihan Du, Siwei Wang, Longbo Huang
2020	Duty to Warn in Strategic Games. Pavel Naumov, Jia Tao
2020	Efficiency and Fairness of Resource Utilisation under Uncertainty. Jan Bürmann
2020	Efficient Deep Reinforcement Learning through Policy Transfer. Tianpei Yang, Jianye Hao, Zhaopeng Meng, Zongzhang Zhang, Yujing Hu, Yingfeng Chen, Changjie Fan, Weixun Wang, Zhaodong Wang, Jiajie Peng
2020	Efficient Hybrid Fault Detection for Autonomous Robots. Eliahu Khalastchi, Meir Kalech
2020	Elessar: Ethics in Norm-Aware Agents. Nirav Ajmeri, Hui Guo, Pradeep K. Murukannaiah, Munindar P. Singh
2020	Embedding Preference Elicitation Within the Search for DCOP Solutions. Yuanming Xiao, Atena M. Tabakhi, William Yeoh
2020	Employing Models of Human Social Motor Behavior for Artificial Agent Trainers. Lillian M. Rigoli, Patrick Nalepka, Hannah M. Douglas, Rachel W. Kallen, Simon G. Hosking, Christopher J. Best, Elliot Saltzman, Michael J. Richardson
2020	Encapsulating Reactive Behaviour in Goal-Based Plans for Programming BDI Agents: Extended Abstract. Rafael H. Bordini, Rem W. Collier, Jomi Fred Hübner, Alessandro Ricci
2020	Epistemic Plan Recognition. Maayan Shvo, Toryn Q. Klassen, Shirin Sohrabi, Sheila A. McIlraith
2020	Equitable Allocations of Indivisible Chores. Rupert Freeman, Sujoy Sikdar, Rohit Vaish, Lirong Xia
2020	Evolving Meta-Level Reasoning with Reinforcement Learning and A* for Coordinated Multi-Agent Path-planning. Mona Alshehri, Napoleon H. Reyes, Andre L. C. Barczak
2020	ExTra: Transfer-guided Exploration. Anirban Santara, Rishabh Madan, Pabitra Mitra, Balaraman Ravindran
2020	Explainable Multi Agent Path Finding. Shaull Almagor, Morteza Lahijanian
2020	Explainable and Contextual Preferences based Decision Making with Assumption-based Argumentation for Diagnostics and Prognostics of Alzheimer's Disease. Zhiwei Zeng, Zhiqi Shen, Jing Jih Chin, Cyril Leung, Yu Wang, Ying Chi, Chunyan Miao
2020	Explicit Modelling of Resources for Multi-Agent MicroServices using the CArtAgO Framework. Eoin O'Neill, David Lillis, Gregory M. P. O'Hare, Rem W. Collier
2020	Extending Narrative Planning Domains with Linguistic Resources. Julie Porteous, João F. Ferreira, Alan Lindsay, Marc Cavazza
2020	FRESH: Interactive Reward Shaping in High-Dimensional State Spaces using Human Feedback. Baicen Xiao, Qifan Lu, Bhaskar Ramasubramanian, Andrew Clark, Linda Bushnell, Radha Poovendran
2020	Fair Allocation of Resources with Uncertain Availability. Jan Bürmann, Enrico H. Gerding, Baharak Rastegari
2020	Fair Cake-Cutting Algorithms with Real Land-Value Data. Itay Shtechman, Rica Gonen, Erel Segal-Halevi
2020	Fair Resource Sharing and Dorm Assignment. Bo Li, Yingkai Li
2020	Fear of Punishment Promotes the Emergence of Cooperation and Enhanced Social Welfare in Social Dilemmas. Theodor Cimpeanu, The Anh Han
2020	Feudal Multi-Agent Deep Reinforcement Learning for Traffic Signal Control. Jinming Ma, Feng Wu
2020	Finding Spatial Clusters Susceptible to Epidemic Outbreaks due to Undervaccination. Jose Cadena, Achla Marathe, Anil Vullikanti
2020	Finding and Recognizing Popular Coalition Structures. Felix Brandt, Martin Bullinger
2020	Formal Verification of Neural Agents in Non-deterministic Environments. Michael E. Akintunde, Elena Botoeva, Panagiotis Kouvaros, Alessio Lomuscio
2020	GAPCoD: A Generic Assembly Planner by Constrained Disassembly. Florian Pescher, Nils Napp, Benoît Piranda, Julien Bourgeois
2020	GUESs: Generative modeling of Unknown Environments and Spatial Abstraction for Robots. Francesco Riccio, Roberto Capobianco, Daniele Nardi
2020	Game Theoretic Analysis for Two-Sided Matching with Resource Allocation. Kentaro Yahiro, Makoto Yokoo
2020	Games of Miners. Jingchang Sun, Pingzhong Tang, Yulong Zeng
2020	Gaussian Processes as Multiagent Reward Models. Gaurav Dixit, Stéphane Airiau, Kagan Tumer
2020	Generalized Optimistic Q-Learning with Provable Efficiency. Grigory Neustroev, Mathijs Michiel de Weerdt
2020	Genetic Deep Reinforcement Learning for Mapless Navigation. Enrico Marchesini, Alessandro Farinelli
2020	Gifting in Multi-Agent Reinforcement Learning. Andrei Lupu, Doina Precup
2020	Goal Formation through Interaction in the Situation Calculus: A Formal Account Grounded in Behavioral Science. Giuseppe De Giacomo, Yves Lespérance
2020	Goal Recognition Using Off-The-Shelf Process Mining Techniques. Artem Polyvyanyy, Zihang Su, Nir Lipovetzky, Sebastian Sardiña
2020	Graph Neural Networks for Decentralized Path Planning. Qingbiao Li, Fernando Gama, Alejandro Ribeiro, Amanda Prorok
2020	Green Security Game with Community Engagement. Taoan Huang, Weiran Shen, David Zeng, Tianyu Gu, Rohit Singh, Fei Fang
2020	HMMs for Anomaly Detection in Autonomous Robots. Davide Azzalini, Alberto Castellini, Matteo Luperto, Alessandro Farinelli, Francesco Amigoni
2020	Hedonic Seat Arrangement Problems. Hans L. Bodlaender, Tesshu Hanaka, Lars Jaffke, Hirotaka Ono, Yota Otachi, Tom C. van der Zanden
2020	Heuristic Strategies in Uncertain Approval Voting Environments. Jaelle Scheuerman, Jason L. Harman, Nicholas Mattei, K. Brent Venable
2020	Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery. Jiachen Yang, Igor Borovikov, Hongyuan Zha
2020	Hierarchical Multiagent Reinforcement Learning for Maritime Traffic Management. Arambam James Singh, Akshat Kumar, Hoong Chuin Lau
2020	Hierarchical Reinforcement Learning with Integrated Discovery of Salient Subgoals. Shubham Pateria, Budhitama Subagdja, Ah-Hwee Tan
2020	Hierarchical and Non-Hierarchical Multi-Agent Interactions Based on Unity Reinforcement Learning. Zehong Cao, Kaichiu Wong, Quan Bai, Chin-Teng Lin
2020	Hindsight Planner. Yaqing Lai, Wufan Wang, Yunjie Yang, Jihong Zhu, Minchi Kuang
2020	Human-Centered Decision Support for Agenda Scheduling. Stephanie Rosenthal, Laura M. Hiatt
2020	Human-in-the-loop Planning and Monitoring of Swarm Search and Service Missions. Meghan Chandarana, Michael Lewis, Katia P. Sycara, Sebastian A. Scherer
2020	Implementing Securities Based Decision Markets with Stochastic Decision Rules. Wenlong Wang
2020	Improved Algorithms for Learning Equilibria in Simulation-Based Games. Enrique Areyan Viqueira, Cyrus Cousins, Amy Greenwald
2020	Improving Performance in Reinforcement Learning by Breaking Generalization in Neural Networks. Sina Ghiassian, Banafsheh Rafiee, Yat Long Lo, Adam White
2020	Incentive Mechanisms for Data Privacy Preservation and Pricing. Mengxiao Zhang
2020	Incentivising Participation in Liquid Democracy with Breadth-First Delegation. Grammateia Kotsialou, Luke Riley
2020	Incomplete Opinions in Collective Decision Making. Zoi Terzopoulou
2020	Increasing Evacuation during Disaster Events. Chris J. Kuhlman, Achla Marathe, Anil Vullikanti, Nafisa Halim, Pallab Mozumder
2020	Inducing Cooperation through Reward Reshaping based on Peer Evaluations in Deep Multi-Agent Reinforcement Learning. David Earl Hostallero, Daewoo Kim, Sangwoo Moon, Kyunghwan Son, Wan Ju Kang, Yung Yi
2020	Inducing Equilibria in Networked Public Goods Games through Network Structure Modification. David Kempe, Sixie Yu, Yevgeniy Vorobeychik
2020	Inference-Based Strategy Alignment for General-Sum Differential Games. Lasse Peters, David Fridovich-Keil, Claire J. Tomlin, Zachary N. Sunberg
2020	Inferring True Voting Outcomes in Homophilic Social Networks. John A. Doucette, Alan Tsang, Hadi Hosseini, Kate Larson, Robin Cohen
2020	Influence Maximization in Unknown Social Networks: Learning Policies for Effective Graph Sampling. Harshavardhan Kamarthi, Priyesh Vijayan, Bryan Wilder, Balaraman Ravindran, Milind Tambe
2020	Input Addition and Deletion in Reinforcement: Towards Learning with Structural Changes. Iago Bonnici, Abdelkader Gouaïch, Fabien Michel
2020	Integrating Behavior Cloning and Reinforcement Learning for Improved Performance in Dense and Sparse Reward Environments. Vinicius G. Goecks, Gregory M. Gremillion, Vernon J. Lawhern, John Valasek, Nicholas R. Waytowich
2020	Integrating Independent and Centralized Multi-agent Reinforcement Learning for Traffic Signal Network Optimization. Zhi Zhang, Jiachen Yang, Hongyuan Zha
2020	Intention-Aware Multiagent Scheduling. Michael Dann, John Thangarajah, Yuan Yao, Brian Logan
2020	Interactive RL via Online Human Demonstrations. Chao Yu, Tianpei Yang, Wenxuan Zhu, Yinzhao Dong, Guangliang Li
2020	Irresolute Approval-based Budgeting. Dorothea Baumeister, Linus Boes, Tessa Seeger
2020	Is the Policy Gradient a Gradient? Chris Nota, Philip S. Thomas
2020	It's Not Whom You Know, It's What You, or Your Friends, Can Do: Coalitional Frameworks for Network Centralities. Gabriel Istrate, Cosmin Bonchis, Claudiu Gatina
2020	Leader Election and Compaction for Asynchronous Silent Programmable Matter. Gianlorenzo D'Angelo, Mattia D'Emidio, Shantanu Das, Alfredo Navarra, Giuseppe Prencipe
2020	Learning Complementary Representations of the Past using Auxiliary Tasks in Partially Observable Reinforcement Learning. Andrea Baisero, Christopher Amato
2020	Learning Context-aware Task Reasoning for Efficient Meta Reinforcement Learning. Haozhe Wang, Jiale Zhou, Xuming He
2020	Learning Hierarchical Teaching Policies for Cooperative Agents. Dong-Ki Kim, Miao Liu, Shayegan Omidshafiei, Sebastian Lopez-Cot, Matthew Riemer, Golnaz Habibi, Gerald Tesauro, Sami Mourad, Murray Campbell, Jonathan P. How
2020	Learning Probably Approximately Correct Maximin Strategies in Simulation-Based Games with Infinite Strategy Spaces. Alberto Marchesi, Francesco Trovò, Nicola Gatti
2020	Learning Transferable Cooperative Behavior in Multi-Agent Teams. Akshat Agarwal, Sumit Kumar, Katia P. Sycara, Michael Lewis
2020	Learning an Interpretable Traffic Signal Control Policy. James Ault, Josiah P. Hanna, Guni Sharon
2020	Learning and Testing Resilience in Cooperative Multi-Agent Systems. Thomy Phan, Thomas Gabor, Andreas Sedlmeier, Fabian Ritz, Bernhard Kempter, Cornel Klein, Horst Sauer, Reiner N. Schmid, Jan Wieghardt, Marc Zeller, Claudia Linnhoff-Popien
2020	Learning by Reusing Previous Advice in Teacher-Student Paradigm. Changxi Zhu, Yi Cai, Ho-fung Leung, Shuyue Hu
2020	Learning to Cooperate: Application of Deep Reinforcement Learning for Online AGV Path Finding. Yi Zhang, Yu Qian, Yichen Yao, Haoyuan Hu, Yinghui Xu
2020	Learning to Design Coupons in Online Advertising Markets. Weiran Shen, Pingzhong Tang, Xun Wang, Yadong Xu, Xiwang Yang
2020	Learning to Optimize Autonomy in Competence-Aware Systems. Connor Basich, Justin Svegliato, Kyle Hollins Wray, Stefan J. Witwicki, Joydeep Biswas, Shlomo Zilberstein
2020	Learning to Resolve Alliance Dilemmas in Many-Player Zero-Sum Games. Edward Hughes, Thomas W. Anthony, Tom Eccles, Joel Z. Leibo, David Balduzzi, Yoram Bachrach
2020	Leveraging Communication Topologies Between Learning Agents in Deep Reinforcement Learning. Dhaval Adjodah, Dan Calacci, Abhimanyu Dubey, Anirudh Goyal, P. M. Krafft, Esteban Moro, Alex Pentland
2020	Lifelong Multi-Agent Path Finding in Large-Scale Warehouses. Jiaoyang Li, Andrew Tinka, Scott Kiesel, Joseph W. Durham, T. K. Satish Kumar, Sven Koenig
2020	Likelihood Quantile Networks for Coordinating Multi-Agent Reinforcement Learning. Xueguang Lyu, Christopher Amato
2020	Limitations of Greed: Influence Maximization in Undirected Networks Re-visited. Grant Schoenebeck, Biaoshuai Tao, Fang-Yi Yu
2020	Limiting the Deviation Incentives in Resource Sharing Networks. Yukun Cheng, Xiaotie Deng, Yuhao Li
2020	Live Simulations. Samarth Swarup, Henning S. Mortveit
2020	Long-Run Multi-Robot Planning Under Uncertain Task Durations. Carlos Azevedo
2020	Long-Run Multi-Robot Planning With Uncertain Task Durations. Carlos Azevedo, Bruno Lacerda, Nick Hawes, Pedro U. Lima
2020	MARTINE: Multi-Agent based Real-Time INfrastructure for Energy. Tiago Pinto, Luis Gomes, Pedro Faria, Filipe Sousa, Zita A. Vale
2020	META-Learning State-based Eligibility Traces for More Sample-Efficient Policy Evaluation. Mingde Zhao, Sitao Luan, Ian Porada, Xiao-Wen Chang, Doina Precup
2020	MGpi: A Computational Model of Multiagent Group Perception and Interaction. Navyata Sanghvi, Ryo Yonetani, Kris Kitani
2020	Majority-Strategyproofness in Judgment Aggregation. Sirin Botan, Ulle Endriss
2020	Manipulating Node Similarity Measures in Networks. Palash Dey, Sourav Medya
2020	Manipulation of Opinion Polls to Influence Iterative Elections. Dorothea Baumeister, Ann-Kathrin Selker, Anaëlle Wilczynski
2020	Massive Cross-Platform Simulations of Online Social Networks. Goran Muric, Alexey Tregubov, Jim Blythe, Andrés Abeliuk, Divya Choudhary, Kristina Lerman, Emilio Ferrara
2020	Mastering Basketball With Deep Reinforcement Learning: An Integrated Curriculum Training Approach. Hangtian Jia, Chunxu Ren, Yujing Hu, Yingfeng Chen, Tangjie Lv, Changjie Fan, Hongyao Tang, Jianye Hao
2020	Matching Affinity Clustering: Improved Hierarchical Clustering at Scale with Guarantees. MohammadTaghi Hajiaghayi, Marina Knittel
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2020	Rational vs Byzantine Players in Consensus-based Blockchains. Yackolley Amoussou-Guenou, Bruno Biais, Maria Potop-Butucaru, Sara Tucci Piergiovanni
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