Accepted Extended Abstracts

Accepted Extended Abstracts

Title Authors
Approximation Gradient Error Variance Reduced Optimization Weiye Zhao
Credulous Acceptability, Poison Games and Modal Logic Davide Grossi, Simon Rey
Learning Efficient Communication in Cooperative Multi-Agent Environment Yuhang Zhao, Xiujun Ma
Optimal Bribery in Voting Palash Dey
Coordinating Sacrifices to Enhance Social Welfare in Multi-agent Systems Han Yu, Zhiqi Shen, Lizhen Cui, Yongqing Zheng, Victor Lesser
Social Mobilization to Reposition Indiscriminately Parked Shareable Bikes Zelei Liu, Han Yu, Leye Wang, Liang Hu, Qiang Yang
A Regulation Enforcement Solution for Multi-agent Reinforcement Learning Sun Fan-Yun, Yen-Yu Chang, Yueh-Hua Wu, Shou-De Lin
Bayes-ToMoP: A Fast Detection and Best Response Algorithm Towards Sophisticated Opponents Tianpei Yang, Jianye Hao, Zhaopeng Meng, Chongjie Zhang, Yan Zheng
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
Installing Resilience in Distributed Constraint Optimization Operated by Physical Multi-Agent Systems Pierre Rust, Gauthier Picard, Fano Ramparany
Deep Reinforcement Learning from Policy-Dependent Human Feedback Dilip Arumugam, Jun Ki Lee, Sophie Saskin, Michael Littman
Student-Project-Resource Matching-Allocation Problems: Two-Sided Matching Meets Resource Allocation Anisse Ismaili, Kentaro Yahiro, Makoto Yokoo, Tomoaki Yamaguchi
Complexity and Approximations in Robust Coalition Formation via Max-Min k-Partitioning Anisse Ismaili, Makoto Yokoo, Noam Hazon, Sarit Kraus, Emi Watanabe
Contradict The Machine: a Hybrid Approach to Identifying Unknown Unknowns Colin Vandenhof, Edith Law
Invincible Strategies of Iterated Prisoner's Dilemma Shiheng Wang, Fangzhen Lin
An Urgency-Dependent Quorum Sensing Algorithm for N-Site Selection in Autonomous Swarms Grace Cai, Don Sofge
General-Sum Cyber Deception Games under Partial Attacker Valuation Information Omkar Thakoor, Phebe Vayanos, Christopher Kiekintveld, Milind Tambe, Haifeng Xu
The Representational Capacity of Action-Value Networks for Multi-Agent Reinforcement Learning Jacopo Castellini, Frans Oliehoek, Rahul Savani, Shimon Whiteson
Who Are We Playing Against? Follower Deception in Stackelberg Games Jiarui Gan, Haifeng Xu, Qingyu Guo, Long Tran-Thanh, Zinovi Rabinovich, Michael Wooldridge
Simple Contrapositive Assumption-Based Frameworks Ofer Arieli, Jesse Heyninck
Optimising Worlds to Evaluate and Influence Reinforcement Learning Agents Richard Everett, Adam Cobb, Stephen Roberts, Andrew Markham
Checking Multi-Agent Systems against Temporal-Epistemic Specifications Ran Chen, Wenhui Zhang
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
Probabilistic resource-bounded alternating-time temporal logic Hoang Nga Nguyen, Abdur Rakib
Fair Division of Indivisible Goods Among Strategic Agents Siddharth Barman, Ganesh Ghalme, Shivika Narang, Shweta Jain, Pooja Kulkarni
A Polynomial-time Fragment of Epistemic Probabilistic Argumentation Nico Potyka
Polynomial-Time Multi-Agent Pathfinding with Heterogeneous and Self-Interested Agents Manao Machida
Facility Location for Three Agents Reshef Meir
Distributed Policy Iteration for Scalable Approximation of Cooperative Multi-Agent Policies Thomy Phan, Kyrill Schmid, Lenz Belzner, Thomas Gabor, Sebastian Feld, Claudia Linnhoff-Popien
Learning Factored Markov Decision Processes with Unawareness Craig Innes, Alex Lascarides
Reachability and Coverage Planning for Connected Agents Tristan Charrier, Arthur Queffelec, Ocan Sankur, Francois Schwarzentruber
The Complexity of the Possible Winner Problem with Partitioned Preferences Batya Kenig
Avoiding Social Disappointment in Elections Mohammad Ali Javidian, Pooyan Jamshidi, Rasoul Ramezanian
A Q-values Sharing Framework for Multiple Independent Q-learners Changxi Zhu, Ho-fung Leung, Shuyue Hu, Yi Cai
Multiagent Adversarial Inverse Reinforcement Learning Ermo Wei, Drew Wicke, Sean Luke
Landmark Based Reward Shaping in Reinforcement Learning with Hidden States Alper Demir, Erkin Çilden, Faruk Polat
Personality-Based Representations of Imperfect-Recall Games Andrea Celli, Nicola Gatti, Giulia Romano
Generating Voting Rules from Random Relations Nic Wilson
Multi-Agent Hierarchical Reinforcement Learning with Dynamic Termination Dongge Han, Wendelin Boehmer, Michael Wooldridge, Alex Rogers
Dynamic Trip-Vehicle Dispatch with Scheduled and On-Demand Requests Taoan Huang, Bohui Fang, Hoon Oh, Xiaohui Bei, Fei Fang
Cooperating in Long-term Relationships with Time-Varying Structure Jacob Crandall, Huy Pham
Recognizing Plans by Learning Embeddings from Observed Action Distributions Yantian Zha, Yikang Li, Sriram Gopalakrishnan, Baoxin Li, Subbarao Kambhampati
Temporal Decision Processes: Modelling Dynamic Systems without Using Hidden Variables Ronen Brafman, Giuseppe De Giacomo
On Enactability of Agent Interaction Protocols: Towards a Unified Approach Angelo Ferrando, Michael Winikoff, Stephen Cranefield, Viviana Mascardi, Frank Dignum
MARL-PPS: Multi-agent Reinforcement Learning with Periodic Parameter Sharing Safa Cicek, Alireza Nakhaei, Stefano Soatto, Kikuo Fujimura
A New Constraint Satisfaction Perspective on Multi-Agent Path Finding Jiangxing Wang, Jiaoyang Li, Hang Ma, Sven Koenig, T. K. Satish Kumar
Entailment Functions and Reasoning Under Inconsistency Yakoub Salhi
Vote for Me! Election Control via Social Influence in Arbitrary Scoring Rule Voting Systems Federico Corò, Emilio Cruciani, Gianlorenzo D'Angelo, Stefano Ponziani
Coordinated Multiagent Reinforcement Learning for Teams of Mobile Sensing Robots Chao Yu, Xin Wang, Zhanbo Feng
Learning through Probing: a decentralized reinforcement learning architecture for social dilemmas Nicolas Anastassacos, Mirco Musolesi
Stochastic Activation Actor-Critic Methods Wenling Shang, Douwe van der Wal, Herke van Hoof, Max Welling
One-Sided Markets with Neighbourhood Externalities Sagar Massand, Sunil Simon
Probably Almost Stable Strategy Profiles in Simulation-Based Games Mason Wright, Michael Wellman
MCTS-based Automated Negotiation Agent Cédric Buron, Zahia Guessoum, Sylvain Ductor
Towards a “Master Algorithm” for Forming Faster Conventions On Various Networks Mohammad Hasan
The Complexity of Additive Committee Selection with Outliers Yongjie Yang, Jianxin Wang
Oblivious Envy-Free Allocations of Indivisible Goods Hau Chan, Jing Chen, Bo Li, Xiaowei Wu
Advice Replay Approach for Richer Knowledge Transfer in Teacher Student Framework Vaibhav Gupta, Daksh Anand, Praveen Paruchuri, Balaraman Ravindran
Proportional Representation in Elections: STV vs PAV Piotr Faliszewski, Piotr Skowron, Stanislaw Szufa, Nimrod Talmon
Simple Contest Enhancers Michal Habani, Priel Levy, David Sarne
Temporal Information Design in Contests Priel Levy, David Sarne, Yonatan Aumann
Policy Networks: A Framework for Scalable Integration of Multiple Decision-Making Models Kyle Wray, Shlomo Zilberstein
Learning Self-Game-Play Agents for Combinatorial Optimization Problems Ruiyang Xu, Karl Lieberherr
Multiagent Monte Carlo Tree Search Nicholas Zerbel, Logan Yliniemi
Using surrogate models to calibrate agent-based model parameters under data scarcity Priscilla Avegliano, Jaime Sichman
Learning Simulation-Based Games from Data Enrique Areyan Viqueira, Cyrus Cousins, Amy Greenwald, Eli Upfal
Maxmin Share Fair Allocation of Indivisible Chores to Asymmetric Agents Haris Aziz, Hau Chan, Bo Li
Modeling Random Guessing and Task Difficulty for Truth Discovery in Crowdsourcing Yi Yang, Quan Bai, Qing Liu
Attention-based Deep Reinforcement Learning for Multi-view Environments Elaheh Barati, Xuewen Chen
Generating an Agent Taxonomy Using Topological Data Analysis Samarth Swarup, Reza Rezazadegan
Warning Time: Optimizing Strategic Signaling for Security Against Boundedly Rational Adversaries Sarah Cooney, Phebe Vayanos, Thanh Nguyen, Cleotilde Gonzalez, Christian Lebiere, Edward Cranford, Milind Tambe
Optimal Sequential Planning for Communicative Actions: A Bayesian Approach Piotr Gmytrasiewicz, Sarit Adhikari
Coordination Structures Generated by Deep Reinforcement Learning in Distributed Task Executions Yuki Miyashita, Toshiharu Sugawara
Memory Based Multiagent One Shot Learning Shauharda Khadka, Connor Yates, Kagan Tumer
Robustness against Agent Failure in Hedonic Games Ayumi Igarashi, Kazunori Ota, Yuko Sakurai, Makoto Yokoo
Obvious Strategyproofness, Bounded Rationality and Approximation Diodato Ferraioli, Carmine Ventre
An Optimal Rewiring Strategy for Cooperative Multiagent Social Learning Hongyao Tang, Jianye Hao, Li Wang, Zan Wang, Tim Baarslag
A dynamic aleatoric calculus for reasoning in games of bluffing and chance Tim French, Andrew Gozzard, Mark Reynolds
A Truthful, Privacy-Preserving, Approximately Efficient Combinatorial Auction For Single-minded Bidders Sankarshan Damle, Boi Faltings, Sujit Gujar
Cooperative Routing with Heterogeneous Vehicles Keisuke Otaki, Satoshi Koide, Ayano Okoso, Tomoki Nishi
On the maximization of influence over an unknown social network Kexiu Song, Jiamou Liu, Bo Yan, Yiping Liu, Hongyi Su, Hong Zheng
How to get the most from goods donated to charities Christopher Culley, Ji Qi, Carmine Ventre
Actor-Critic Algorithms for Constrained Multi-agent Reinforcement Learning Raghuram Bharadwaj Diddigi, Sai Koti Reddy Danda, Prabuchandran Krithivasan Jayachandran, Shalabh Bhatnagar
Emergent Privacy Norms for Collaborative Systems Onuralp Ulusoy, Pinar Yolum
Meta-Strategy for Multi-Time Negotiation: A Multi-Armed Bandit Approach Ryohei Kawata, Katsuhide Fujita
Stackelberg Equilibrium approximation in general-sum extensive-form games with double-oracle sampling method Jan Karwowski, Jacek Mańdziuk
Thompson Sampling Based Multi-Armed-Bandit Mechanism Using Neural Networks Manisha Padala, Sujit Gujar
Computing Stable Solutions in Threshold Network Flow Games With Bounded Treewidth Aldo Pacchiano, Yoram Bachrach
Hybrid BiLSTM-Siamese Network for Relation Extraction Zeyuan Cui, Shijun Liu
Efficient City-Scale Patrolling Using Decomposition and Grafting Wanyuan Wang, Zichen Dong, Bo An, Yichuan Jiang
Risk Averse Reinforcement Learning for Mixed Multi-agent Environments Sai Koti Reddy Danda, Amrita Saha, Srikanth Tamilselvam, Priyanka Agrawal, Pankaj Dayama
Evidence Propagation and Consensus Formation in Noisy Environments Michael Crosscombe, Jonathan Lawry
Asymptotically optimal VCG redistribution mechanism for public project problem Mingyu Guo
Emergence of Scenario-Appropriate Collaborative Behaviors for Teams of Robotic Bodyguards Hassam Sheikh, Ladislau Bölöni
The Imitation Game: Learned reciprocity in Markov games Tom Eccles, Edward Hughes, Steven Wheelwright, Joel Leibo, János Kramár
From Hotelling to Load Balancing: Approximation and the Principle of Minimum Differentiation Matthias Feldotto, Pascal Lenzner, Louise Molitor, Alexander Skopalik
Online Motion Concept Learning: A novel algorithm for sample-efficient learning and recognition of human actions Miguel Vasco, Francisco Melo, David Martins de Matos, Ana Paiva, Tetsunari Inamura
Automatic Feature Engineering by Deep Reinforcement Learning Jianyu Zhang, Jianye Hao, Françoise Fogelman-Soulié, Zan Wang
Rethinking the Neutrality Axiom in Judgment Aggregation Zoi Terzopoulou, Ulle Endriss
Explaining Failures Propagations in the Execution of Multi-Agent Temporal Plans Gianluca Torta, Roberto Micalizio, Samuele Sormano
Logically-Constrained Neural Fitted Q-iteration Mohammadhosein Hasanbeig, Alessandro Abate, Daniel Kroening
A Homophily-Free Community Detection Framework for Trajectories with Delayed Responses Chung-Kyun Han, Shih-Fen Cheng, Pradeep Varakantham
Stability of Human-Inspired Agent Societies Joe Collenette, Katie Atkinson, Daan Bloembergen, Karl Tuyls
Deep Generative and Discriminative Domain Adaptation Han Zhao
Exploration in the face of Parametric and Intrinsic Uncertainties Borislav Mavrin, Shangtong Zhang, Hengshuai Yao, Linglong Kong
Predictive Execution Monitoring of BDI Recipes Mika Barkan, Gal Kaminka
Priority driven Local Optimization for Crowd Simulation Himangshu Saikia, Fangkai Yang, Christopher Peters
Aggregating Citizen Preferences for Public Projects Through Civic Crowdfunding Sankarshan Damle, Moin Hussain Moti, Praphul Chandra, Sujit Gujar
Adaptive multi-agent system for situated task allocation Quentin Baert, Anne-Cécile Caron, Maxime Morge, Jean-Christophe Routier
A Game for Cooperation with Strangers Steven Damer, Maria Gini, Jeffrey Rosenschein
DeepAggregation: A New Approach for Aggregating Incomplete Ranked Lists using Multi-Layer Graph Embedding Rohith D Vallam, Ramasuri Narayanam, Srikanth Tamilselvam, Nicholas Mattei, Sudhanshu Singh, Shweta Garg, Gyana Parija
A Social Choice Perspective on Database Aggregation Francesco Belardinelli, Umberto Grandi
A Privacy Preserving Multiagent System for Load Balancing in the Smart Grid Shangyu Xie, Yuan Hong, Peng-Jun Wan
Collaborative Reinforcement Learning Model for Sustainability of Cooperation in Sequential Social Dilemmas Ritwik Chaudhuri, Kushal Mukherjee, Rohith D Vallam, Ayush Kumar, Antriksh Mathur, Shweta Garg, Sudhanshu Singh, Gyana Parija, Ramasuri Narayanam
A Truthful Online Mechanism for Allocating Fog Computing Resources Fan Bi, Sebastian Stein, Enrico Gerding, Nick Jennings, Tom La Porta
Reinforcement Learning with Derivative-Free Exploration Xionghui Chen, Yang Yu
Strategic Majoritarian Voting with Propositional Goals Arianna Novaro, Umberto Grandi, Dominique Longin, Emiliano Lorini
Teaching Social Behavior through Human Reinforcement for Ad hoc Teamwork: The STAR Framework Shani Alkoby, Avilash Rath, Peter Stone
Classification of Contractual Conflicts via Learning of Semantic Representations João Paulo Aires, Roger Granada, Juarez Monteiro, Rodrigo Coelho Barros, Felipe Meneguzzi
Deep Fictitious Play for Games with Continuous Action Spaces Nitin Kamra, Umang Gupta, Kai Wang, Fei Fang, Yan Liu, Milind Tambe
Power indices for team reformation planning under uncertainty Jonathan Cohen, Abdel-Illah Mouaddib
Verifying Strategic Abilities in Multi-agent Systems with Private Data-Sharing Francesco Belardinelli, Ioana Boureanu, Catalin Dima, Vadim Malvone
Masquerade Attack Detection Through Observation Planning for Multi-Robot Systems Kacper Wardega, Wenchao Li, Roberto Tron
Meta-learning of Bidding Agent with Knowledge Gradient in a Fully Agent-based Sponsored Search Auction Simulator Donghun Lee, Warren Powell
Curriculum Learning for Tightly Coupled Multiagent Systems Golden Rockefeller, Patrick Mannion, Kagan Tumer
A Compression-Inspired Framework for Macro Discovery Francisco Garcia, Bruno da Silva, Philip Thomas
A Meta-MDP Approach to Exploration for Lifelong Reinforcement Learning Francisco Garcia, Philip Thomas
X*: Anytime Multiagent Planning With Bounded Search Kyle Vedder, Joydeep Biswas
Report-Sensitive Spot-checking in Peer Grading Hedayat Zarkoob, Kevin Leyton-Brown, Hu Fu
Training Cooperative Agents for Multi-Agent Reinforcement Learning Sushrut Bhalla, Sriram Ganapathi Subramanian, Mark Crowley
Decoupling Dynamics and Reward for Transfer in Multi-Agent Systems Harsh Satija, Amy Zhang, Joelle Pineau
Toward Robust Policy Summarization Isaac Lage, Daphna Lifschitz, Finale Doshi-Velez, Ofra Amir
Manipulative Design of Scoring Systems Dorothea Baumeister, Tobias Hogrebe
Removing the Target Network from Deep Q-Networks with Mellowmax Operator Seungchan Kim, Kavosh Asadi, Michael Littman, George Konidaris
Modeling Human Decision-Making during Hurricanes: From Model to Data Collection to Prediction Nutchanon Yongsatianchot, Stacy Marsella
Preference Learning in Automated Negotiation Using Gaussian Uncertainty Models Haralambie Leahu, Michael Kaisers, Tim Baarslag
Social Power in Human-Robot Interaction: Towards more Persuasive Robots Mojgan Hashemian, Ana Paiva, Samuel Mascarenhas, Pedro Santos, Rui Prada
Designing Emergent Swarm Behaviors using Behavior Trees and Grammatical Evolution Aadesh Neupane, Michael A. Goodrich
Multi-Agent Learning and Coordination with Clustered Deep Q-Network Simon Pageaud, Véronique Deslandres, Vassilissa Lehoux, Salima Hassas
Enhanced Delta-tolling: Traffic Optimization via Link-Dependent Optimization Hamid Mirzaei Buini, Josiah Hanna, John Fang, Guni Sharon, Stephen Boyles, Peter Stone
Applying Norms and Sanctions to Promote Cybersecurity Hygiene Shubham Goyal, Nirav Ajmeri, Munindar Singh
Robust Monitoring on Graphs with an Application to Suicide Prevention in Social Networks Aida Rahmattalabi, Phebe Vayanos, Anthony Fulginiti, Milind Tambe
Learn a Robust Policy in Adversarial Games via Playing with an Expert Opponent Jialian Li, Tongzheng Ren, Hang Su, Jun Zhu
Smart Targets to Avoid Observation in CTO problem Leonardo Ferreira da Costa, Thayanne França da Silva, José Luis Alves Leite, Raimundo Juracy Campos Ferro Junior, Raphael Pinheiro de Souza, João Pedro Bernardino Andrade, Gustavo Augusto Lima de Campos
HC-Dyna: a model-based incremental deep reinforcement learning architecture Yangchen Pan, Hengshuai Yao, Amir-massoud Farahmand, Martha White
The Rise and Fall of Complex Family Structures: Coalition Formation, Stability, and Power Struggle Angelina Brilliantova, Anton Pletenev, Hadi Hosseini
Optimal Risk in Multiagent Blind Tournaments Theodore Perkins
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
The DARPA SocialSim Challenge: Massive Multi-Agent Simulations of the Github Ecosystem Jim Blythe, Emilio Ferrara, Diana Huang, Kristina Lerman, Goran Muric, Anna Sapienza, Alexey Tregubov, Diogo Pacheco, John Bollenbacher, Alessandro Flammini, Pik-Mai Hui, Fil Menczer
Crowdsourced PAC Learning under Classification Noise Lev Reyzin, Shelby Heinecke
Object Exchangability in Reinforcement Learning John Mern, Dorsa Sadigh, Mykel Kochenderfer
Escape Room: A Configurable Testbed for Hierarchical Reinforcement Learning Jacob Menashe, Peter Stone
A Selective Exploration Method for Policy Transfer in Reinforcement Learning Akshay Narayan, Tze Yun Leong
Two-stage n-person prisoner's dilemma with social preferences Seji Takanashi, Makoto Yokoo
Bribery in Balanced Knockout Tournaments Christine Konicki, Virginia Vassilevska Williams
Fairness Through the Lens of Proportional Equality Arpita Biswas, Suvam Mukherjee
Recognising and Explaining Bidding Strategies in Negotiation Support Systems Vincent Koeman, Koen Hindriks, Jonathan Gratch, Catholijn Jonker
Domain Adaptation for Reinforcement Learning on the Atari Thomas Carr, Maria Chli, George Vogiatzis

Title Authors
Engineering Business Processes through Accountability and Agents Matteo Baldoni, Cristina Baroglio, Roberto Micalizio, Olivier Boissier, Stefano Tedeschi
A Framework for Engineering Human/Agent Teaming Systems Rick Evertsz, John Thangarajah
Incorporating social practices in BDI agent systems Stephen Cranefield, Frank Dignum
Evaluation of Optimization for Pedestrian Route Guidance in Real-world Crowded Scene Shusuke Shigenaka, Shunki Takami, Masaki Onishi, Itsuki Noda, Tomohisa Yamashita
ViTALiSE: Virtual to Augmented Loop in Smart Environments Stefano Mariani, Angelo Croatti, Alessandro Ricci, Andrea Prati, Giuseppe Vizzari
Deriving norms from actions, values and context Myrthe Tielman, Catholijn Jonker, M. Birna van Riemsdijk
The StarCraft Multi-Agent Challenge Mikayel Samvelyan, Tabish Rashid, Gregory Farquhar, Jakob Foerster, Christian Schroeder de Witt, Nantas Nardelli, Tim G. J. Rudner, Chia-Man Hung, Philip H. S. Torr, Shimon Whiteson
An Open MAS Services Architecture for the V2G/G2V Problem Nikolaos Spanoudakis, Charilaos Akasiadis, Georgios Kechagias, Georgios Chalkiadakis
Agent Software is More Complex than Other Software: An Empirical Investigation Alon Zanbar, Gal Kaminka
A Property-based Testing Framework for Multi-Agent Systems Lars-Åke Fredlund, Clara Benac Earle

Title Authors
A Reinforcement Learning Framework for Container Selection and Ship Load Sequencing in Ports Richa Verma, Sarmimala Saikia, Harshad Khadilkar, Gautam Shroff, Puneet Agarwal, Ashwin Srinivasan
Dynamic and intelligent control of autonomous vehicles for highway on-ramp merge Zine el abidine Kherroubi, Samir Aknine, Rebiha Bacha
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
Improving Wind Power Forecasting through Cooperation: A Case-Study on Operating Farms Tanguy Esteoule, Carole Bernon, Marie-Pierre Gleizes, Morgane Barthod
Large-Scale Home Energy Management Using Entropy-Based Collective Multiagent Reinforcement Learning Framework Yaodong Yang, Jianye Hao, Yan Zheng, Xiaotian Hao, Bofeng Fu
Interpretable Automated Machine Learning in Maana Knowledge Platform Fangkai Yang, Alexander Elkholy, Steven Gustafson
A Multi-agent Architecture to Integrate Deep Learning Methods for Object Recognition in Mobile Robot Systems Janilma Peres, Vitor Draeger, Ricardo Choren, Paulo Rosa, Ronaldo Goldschmidt
Deployment of a Multi-Agent Traffic Signal Timing System Rym Zalila-Wenkstern, Behnam Torabi, Robert Saylor, Patrick Ryan

Title Authors
Inverse Kinematics and Sensitivity Minimization of an n-Stack Stewart Platform David Balaban, John Cooper, Erik Komendera
Bayesian-DPOP for continuous Distributed Constraint Optimization Problems Jeroen Fransman, Bart De Schutter, Henry Dol, Erik Theunissen, Joris Sijs
Explicable Planning as Minimizing Distance from Expected Behavior Anagha Kulkarni, Yantian Zha, Tathagata Chakraborti, Satya Gautam Vadlamudi, Yu Zhang, Subbarao Kambhampati
Multinomial HMMs for Intent Recognition in Maritime Domians Logan Carlson, Dalton Navalta, Monica Nicolescu, Gail Woodward, Mircea Nicolescu
Minimizing Movement for Fault-Tolerant Network Formation Kazim Selim Engin, Volkan Isler
MaMiC : Macro and Micro Curriculum for Robotic Reinforcement Learning Manan Tomar, Akhil Sathuluri, Balaraman Ravindran
Preference-Based Fault Estimation in Autonomous Robots : Incompleteness and Meta-Diagnosis Valentin Bouziat, Xavier Pucel, Stéphanie Roussel, Louise Travé-Massuyès
Distributed Task Assignment and Path Planning with Limited Communication for Robot Teams Dario Albani, Wolfgang Hoenig, Nora Ayanian, Daniele Nardi, Vito Trianni
Delayed and Time-Variant Patrolling Strategies against Attackers with Local Observation Capabilities Carlos Diaz Alvarenga, Nicola Basilico, Stefano Carpin
Exploiting Inaccurate A Priori Knowledge in Robot Exploration Francesco Amigoni, Matteo Luperto, N. Alberto Borghese, Danilo Fusi
An Adaptable Self-Monitoring Framework for Complex Machines Leilani Gilpin, Lalana Kagal
Integrating Task-Motion Planning with Reinforcement Learning for Robust Decision Making in Mobile Robots Yuqian Jiang, Fangkai Yang, Shiqi Zhang, Peter Stone
High-Level Path Planning in Hostile Dynamic Environments Jacopo Banfi, Mark Campbell
Learning from Observations Using a Single Video Demonstration and Human Feedback Sunil Gandhi, Tim Oates, Tinoosh Mohsenin, Nicholas Waytowich
Generative Adversarial Imitation from Observation Faraz Torabi, Garrett Warnell, Peter Stone
When to stop for safe manipulation in unstructured environments? Abdullah Cihan Ak, Arda Inceoglu, Sanem Sariel
What Stands-in for a Missing Tool?: A Prototypical Grounded Knowledge-based Approach to Tool Substitution Madhura Thosar, Christian Mueller, Georg Jäger, Till Mossakowski, Sebastian Zug
Long-term Autonomous Mobile Manipulation under Uncertainty Michael Lanighan, Roderic Grupen
The unbroken telephone game: keeping swarms connected Vivek Shankar Varadharajan, Bram Adams, Giovanni Beltrame
Meta-learning for predictive knowledge architectures: A case study using TIDBD on a sensor-rich robotic arm Johannes Guenther, Nadia Ady, Alex Kearney, Michael R. Dawson, Patrick M. Pilarski
Adaptive Navigation Scheme for Optimal Deep-Sea Localization Using Multimodal Perception Cues Arturo Gomez Chavez, Qingwen Xu, Christian Mueller, Andreas Birk, Soeren Schwertfeger
Active Learning with Gaussian Processes for High Throughput Phenotyping Sumit Kumar, Wenhao Luo, George Kantor, Katia Sycara
Cooperative Multi-Agent Deep Reinforcement Learning in Soccer Domains Jim Martin Catacora Ocana, Francesco Riccio, Roberto Capobianco, Daniele Nardi

Title Authors
Integrating Personality and Mood with Agent Emotions Suman Ojha, Jonathan Vitale, Syed Ali Raza, Richard Billingsley, Mary-Anne Williams
A Method for Detecting Corrections to a Socially Aware Personal Assistant Keren Nivasch, Amos Azaria
On the Importance of Representations for Speech-Driven Gesture Generation Taras Kucherenko, Dai Hasegawa, Naoshi Kaneko, Gustav Eje Henter, Hedvig Kjellström
Empathic Listener Framework for Embodied Conversational Agents Özge Nilay Yalçın, Steve DiPaola
DeepFlow: Detecting Optimal User Experience From Physiological Data Using Deep Neural Networks Marco Maier, Chadly Marouane, Daniel Elsner
Role of Emotions in Perception of Humanness of Virtual Agents Moojan Ghafurian, Neil Budnarain, Jesse Hoey
Coupling Agent Motivations and Spatial Behaviors for Authoring Multi-Agent Narratives Xun Zhang, Davide Schaumann, Brandon Haworth, Petros Faloutsos, Mubbasir Kapadia
Modeling the Interplay of Personality, Motivation, Emotion, and Mood in Social Agents Maayan Shvo, Jakob Buhmann, Mubbasir Kapadia
Can a Virtual Human Facilitate Language Learning in a Young Baby? Setareh Nasihati Gilani, David Traum, Rachel Sortino, Grady Gallagher, Kailyn Aaron-lozano, Cryss Padilla, Ari Shapiro, Jason Lamberton, Laura-ann Petitto
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