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ORCID20th AAMAS 2021: Virtual Event, UK
- Frank Dignum, Alessio Lomuscio, Ulle Endriss, Ann Nowé:
AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, Virtual Event, United Kingdom, May 3-7, 2021. ACM 2021, ISBN 978-1-4503-8307-3
Blue Sky Ideas Track
- Niclas Boehmer, Rolf Niedermeier:
Broadening the Research Agenda for Computational Social Choice: Multiple Preference Profiles and Multiple Solutions. 1-5 - Gabriel Istrate:
Models We Can Trust: Toward a Systematic Discipline of (Agent-Based) Model Interpretation and Validation. 6-11 - Amol Kelkar:
Cognitive Homeostatic Agents. 12-16 - Jeffrey O. Kephart:
Multi-modal Agents for Business Intelligence. 17-22 - Alexander Mey, Frans A. Oliehoek:
Environment Shift Games: Are Multiple Agents the Solution, and not the Problem, to Non-Stationarity? 23-27 - Reuth Mirsky, Peter Stone:
The Seeing-Eye Robot Grand Challenge: Rethinking Automated Care. 28-33 - Decebal Constantin Mocanu, Elena Mocanu, Tiago Pinto, Selima Curci, Phuong H. Nguyen, Madeleine Gibescu, Damien Ernst, Zita A. Vale:
Sparse Training Theory for Scalable and Efficient Agents. 34-38 - Gauthier Picard, Clément Caron, Jean-Loup Farges, Jonathan Guerra, Cédric Pralet, Stéphanie Roussel:
Autonomous Agents and Multiagent Systems Challenges in Earth Observation Satellite Constellations. 39-44 - Avi Rosenfeld:
Better Metrics for Evaluating Explainable Artificial Intelligence. 45-50 - Yaodong Yang, Jun Luo, Ying Wen, Oliver Slumbers, Daniel Graves, Haitham Bou-Ammar, Jun Wang, Matthew E. Taylor:
Diverse Auto-Curriculum is Critical for Successful Real-World Multiagent Learning Systems. 51-56 - Vahid Yazdanpanah, Enrico H. Gerding, Sebastian Stein, Mehdi Dastani, Catholijn M. Jonker, Timothy J. Norman:
Responsibility Research for Trustworthy Autonomous Systems. 57-62 - Dengji Zhao:
Mechanism Design Powered by Social Interactions. 63-67
Main Track
- Amal Abdulrahman, Deborah Richards, Ayse Aysin Bilgin:
Reason Explanation for Encouraging Behaviour Change Intention. 68-77 - Kenshi Abe, Yusuke Kaneko:
Off-Policy Exploitability-Evaluation in Two-Player Zero-Sum Markov Games. 78-87 - Ramin Ahadi, Wolfgang Ketter, John Collins, Nicolò Daina:
Siting and Sizing of Charging Infrastructure for Shared Autonomous Electric Fleets. 88-96 - Lucas Nunes Alegre, Ana L. C. Bazzan, Bruno C. da Silva:
Minimum-Delay Adaptation in Non-Stationary Reinforcement Learning via Online High-Confidence Change-Point Detection. 97-105 - Andrea Aler Tubella, Andreas Theodorou, Juan Carlos Nieves:
Interrogating the Black Box: Transparency through Information-Seeking Dialogues. 106-114 - Nicolas Anastassacos, Julian García, Stephen Hailes, Mirco Musolesi:
Cooperation and Reputation Dynamics with Reinforcement Learning. 115-123 - Siddharth Aravindan, Wee Sun Lee:
State-Aware Variational Thompson Sampling for Deep Q-Networks. 124-132 - Haris Aziz, Hau Chan, Ágnes Cseh, Bo Li, Fahimeh Ramezani
, Chenhao Wang:
Multi-Robot Task Allocation-Complexity and Approximation. 133-141 - Matteo Baldoni, Cristina Baroglio, Roberto Micalizio, Stefano Tedeschi:
Robustness Based on Accountability in Multiagent Organizations. 142-150 - Jacques Bara, Omer Lev, Paolo Turrini:
Predicting Voting Outcomes in Presence of Communities. 151-159 - Eugenio Bargiacchi, Timothy Verstraeten, Diederik M. Roijers:
Cooperative Prioritized Sweeping. 160-168 - Siddharth Barman, Paritosh Verma:
Existence and Computation of Maximin Fair Allocations Under Matroid-Rank Valuations. 169-177 - Dorothea Baumeister, Tobias Alexander Hogrebe:
Complexity of Scheduling and Predicting Round-Robin Tournaments. 178-186 - Dorothea Baumeister, Linus Boes, Robin Weishaupt:
Complexity of Sequential Rules in Judgment Aggregation. 187-195 - Ryan Beal, Georgios Chalkiadakis, Timothy J. Norman, Sarvapali D. Ramchurn:
Optimising Long-Term Outcomes using Real-World Fluent Objectives: An Application to Football. 196-204 - Ondrej Biza, Dian Wang, Robert Platt Jr., Jan-Willem van de Meent, Lawson L. S. Wong:
Action Priors for Large Action Spaces in Robotics. 205-213 - Sirin Botan, Ronald de Haan, Marija Slavkovik, Zoi Terzopoulou:
Egalitarian Judgment Aggregation. 214-222 - Sirin Botan:
Manipulability of Thiele Methods on Party-List Profiles. 223-231 - Fabien Boucaud, Catherine Pelachaud, Indira Thouvenin:
Decision Model for a Virtual Agent that can Touch and be Touched. 232-241 - Yasser Bourahla, Manuel Atencia, Jérôme Euzenat:
Knowledge Improvement and Diversity under Interaction-Driven Adaptation of Learned Ontologies. 242-250 - Felix Brandt, Martin Bullinger, Patrick Lederer:
On the Indecisiveness of Kelly-Strategyproof Social Choice Functions. 251-259 - Robert Bredereck, Aleksander Figiel, Andrzej Kaczmarczyk, Dusan Knop, Rolf Niedermeier:
High-Multiplicity Fair Allocation Made More Practical. 260-268 - Federico Cacciamani, Andrea Celli, Marco Ciccone, Nicola Gatti:
Multi-Agent Coordination in Adversarial Environments through Signal Mediated Strategies. 269-278 - Xin-Qiang Cai, Yao-Xiang Ding, Yuan Jiang, Zhi-Hua Zhou:
Imitation Learning from Pixel-Level Demonstrations by HashReward. 279-287 - Pierre Cardi, Laurent Gourvès, Julien Lesca:
Worst-case Bounds for Spending a Common Budget. 288-296 - Vishal Chakraborty, Phokion G. Kolaitis:
Classifying the Complexity of the Possible Winner Problem on Partial Chains. 297-305 - Rahul Chandan, Dario Paccagnan, Jason R. Marden:
Tractable Mechanisms for Computing Near-Optimal Utility Functions. 306-313 - Kangjie Chen, Shangwei Guo, Tianwei Zhang, Shuxin Li, Yang Liu:
Temporal Watermarks for Deep Reinforcement Learning Models. 314-322 - Lin Chen, Lei Xu, Zhimin Gao, Ahmed Imtiaz Sunny, Keshav Kasichainula, Weidong Shi:
A Game Theoretical Analysis of Non-Linear Blockchain System. 323-331 - Mingxi Cheng, Chenzhong Yin, Junyao Zhang, Shahin Nazarian, Jyotirmoy Deshmukh, Paul Bogdan:
A General Trust Framework for Multi-Agent Systems. 332-340 - Shushman Choudhury, Jayesh K. Gupta, Peter Morales, Mykel J. Kochenderfer:
Scalable Anytime Planning for Multi-Agent MDPs. 341-349 - Serafino Cicerone, Alessia Di Fonso, Gabriele Di Stefano, Alfredo Navarra:
MOBLOT: Molecular Oblivious Robots. 350-358 - Saar Cohen, Noa Agmon:
Spatial Consensus-Prevention in Robotic Swarms. 359-367 - Rodica Condurache, Catalin Dima, Youssouf Oualhadj, Nicolas Troquard:
Rational Synthesis in the Commons with Careless and Careful Agents. 368-376 - Elena Congeduti, Alexander Mey, Frans A. Oliehoek:
Loss Bounds for Approximate Influence-Based Abstraction. 377-385 - Jiaxun Cui, William Macke, Harel Yedidsion, Aastha Goyal, Daniel Urieli, Peter Stone:
Scalable Multiagent Driving Policies for Reducing Traffic Congestion. 386-394 - Panayiotis Danassis, Zeki Doruk Erden, Boi Faltings:
Improved Cooperation by Exploiting a Common Signal. 395-403 - Dave de Jonge, Filippo Bistaffa, Jordi Levy:
A Heuristic Algorithm for Multi-Agent Vehicle Routing with Automated Negotiation. 404-412 - Argyrios Deligkas, Themistoklis Melissourgos, Paul G. Spirakis:
Walrasian Equilibria in Markets with Small Demands. 413-419 - Chuang Deng, Zhihai Rong, Lin Wang, Xiaofan Wang:
Modeling Replicator Dynamics in Stochastic Games Using Markov Chain Method. 420-428 - Louise A. Dennis, Nir Oren:
Explaining BDI Agent Behaviour through Dialogue. 429-437 - Palash Dey, Suman Kalyan Maity, Sourav Medya, Arlei Silva:
Network Robustness via Global k-cores. 438-446 - Zehao Dong, Sanmay Das, Patrick J. Fowler, Chien-Ju Ho:
Efficient Nonmyopic Online Allocation of Scarce Reusable Resources. 447-455 - Yali Du, Bo Liu, Vincent Moens, Ziqi Liu, Zhicheng Ren, Jun Wang, Xu Chen, Haifeng Zhang:
Learning Correlated Communication Topology in Multi-Agent Reinforcement learning. 456-464 - Miroslav Dudík, Xintong Wang, David M. Pennock, David M. Rothschild:
Log-time Prediction Markets for Interval Securities. 465-473 - Pierre El Mqirmi, Francesco Belardinelli, Borja G. León:
An Abstraction-based Method to Check Multi-Agent Deep Reinforcement-Learning Behaviors. 474-482 - Ingy Elsayed-Aly, Suda Bharadwaj, Christopher Amato, Rüdiger Ehlers, Ufuk Topcu, Lu Feng:
Safe Multi-Agent Reinforcement Learning via Shielding. 483-491 - Hélène Fargier, Jérôme Mengin:
A Knowledge Compilation Map for Conditional Preference Statements-based Languages. 492-500 - Johan Ferret, Olivier Pietquin, Matthieu Geist:
Self-Imitation Advantage Learning. 501-509 - Alina Filimonov, Reshef Meir:
Strategyproof Facility Location Mechanisms on Discrete Trees. 510-518 - Fabrice Gaignier, Yannis Dimopoulos, Jean-Guy Mailly, Pavlos Moraitis:
Probabilistic Control Argumentation Frameworks. 519-527 - Rustam Galimullin, Thomas Ågotnes:
Quantified Announcements and Common Knowledge. 528-536 - Sriram Ganapathi Subramanian, Matthew E. Taylor, Mark Crowley, Pascal Poupart:
Partially Observable Mean Field Reinforcement Learning. 537-545 - Anis Gargouri, Sébastien Konieczny, Pierre Marquis, Srdjan Vesic:
On a Notion of Monotonic Support for Bipolar Argumentation Frameworks. 546-554 - Siddharth Gupta, Meirav Zehavi:
Multivariate Analysis of Scheduling Fair Competitions. 555-564 - Vaibhav Gupta, Daksh Anand, Praveen Paruchuri, Akshat Kumar:
Action Selection for Composable Modular Deep Reinforcement Learning. 565-573 - Lewis Hammond, James Fox, Tom Everitt, Alessandro Abate, Michael J. Wooldridge:
Equilibrium Refinements for Multi-Agent Influence Diagrams: Theory and Practice. 574-582 - Lewis Hammond, Alessandro Abate, Julian Gutierrez, Michael J. Wooldridge:
Multi-Agent Reinforcement Learning with Temporal Logic Specifications. 583-592 - Paul Harrenstein, Grzegorz Lisowski, Ramanujan Sridharan, Paolo Turrini:
A Hotelling-Downs Framework for Party Nominees. 593-601 - Keyang He, Bikramjit Banerjee, Prashant Doshi:
Cooperative-Competitive Reinforcement Learning with History-Dependent Rewards. 602-610 - Taoan Huang, Bistra Dilkina, Sven Koenig:
Learning Node-Selection Strategies in Bounded-Suboptimal Conflict-Based Search for Multi-Agent Path Finding. 611-619 - Léonard Hussenot, Robert Dadashi, Matthieu Geist, Olivier Pietquin:
Show Me the Way: Intrinsic Motivation from Demonstrations. 620-628 - Ercument Ilhan, Jeremy Gow, Diego Perez Liebana:
Action Advising with Advice Imitation in Deep Reinforcement Learning. 629-637 - Aviram Imber, Benny Kimelfeld:
Computing the Extremal Possible Ranks with Incomplete Preferences. 638-646 - Aviram Imber, Benny Kimelfeld:
Probabilistic Inference of Winners in Elections by Independent Random Voters. 647-655 - Katsuya Ito, Kentaro Minami, Kentaro Imajo, Kei Nakagawa:
Trader-Company Method: A Metaheuristics for Interpretable Stock Price Prediction. 656-664 - Pallavi Jain, Nimrod Talmon, Laurent Bulteau:
Partition Aggregation for Participatory Budgeting. 665-673 - Zhengyao Jiang, Pasquale Minervini, Minqi Jiang, Tim Rocktäschel:
Grid-to-Graph: Flexible Spatial Relational Inductive Biases for Reinforcement Learning. 674-682 - Venkateswara Rao Kagita, Arun K. Pujari, Vineet Padmanabhan, Haris Aziz, Vikas Kumar:
Committee Selection using Attribute Approvals. 683-691 - Takehiro Kawasaki, Ryoji Wada, Taiki Todo, Makoto Yokoo:
Mechanism Design for Housing Markets over Social Networks. 692-700 - Shakil M. Khan, Yves Lespérance:
Knowing Why - On the Dynamics of Knowledge about Actual Causes in the Situation Calculus. 701-709 - Jackson A. Killian, Andrew Perrault, Milind Tambe:
Beyond "To Act or Not to Act": Fast Lagrangian Approaches to General Multi-Action Restless Bandits. 710-718 - Tabajara Krausburg, Jürgen Dix, Rafael H. Bordini:
Feasible Coalition Sequences. 719-727 - Rajiv Ranjan Kumar, Pradeep Varakantham, Shih-Fen Cheng:
Adaptive Operating Hours for Improved Performance of Taxi Fleets. 728-736 - Martin Lackner, Jan Maly:
Approval-Based Shortlisting. 737-745 - Stefan Lauren, Francesco Belardinelli, Francesca Toni:
Aggregating Bipolar Opinions. 746-754 - Omer Lev, Neel Patel, Vignesh Viswanathan, Yair Zick:
The Price is (Probably) Right: Learning Market Equilibria from Samples. 755-763 - Sheng Li, Jayesh K. Gupta, Peter Morales, Ross E. Allen, Mykel J. Kochenderfer:
Deep Implicit Coordination Graphs for Multi-agent Reinforcement Learning. 764-772 - Wenhao Li, Xiangfeng Wang, Bo Jin, Junjie Sheng, Yun Hua, Hongyuan Zha:
Structured Diversification Emergence via Reinforced Organization Control and Hierachical Consensus Learning. 773-781 - Yuyu Li, Jianmin Ji:
Parallel Curriculum Experience Replay in Distributed Reinforcement Learning. 782-789 - Yu Liang, Amulya Yadav:
Let the DOCTOR Decide Whom to Test: Adaptive Testing Strategies to Tackle the COVID-19 Pandemic. 790-798 - Enrico Liscio, Michiel van der Meer, Luciano Cavalcante Siebert, Catholijn M. Jonker, Niek Mouter, Pradeep K. Murukannaiah:
Axies: Identifying and Evaluating Context-Specific Values. 799-808 - Minghuan Liu, Tairan He, Minkai Xu, Weinan Zhang:
Energy-Based Imitation Learning. 809-817 - Zhengshang Liu, Yue Yang, Tim Miller, Peta Masters:
Deceptive Reinforcement Learning for Privacy-Preserving Planning. 818-826 - Emiliano Lorini:
A Logic of Evaluation. 827-835 - Matteo Luperto, Luca Fochetta, Francesco Amigoni:
Exploration of Indoor Environments through Predicting the Layout of Partially Observed Rooms. 836-843 - Xueguang Lyu, Yuchen Xiao, Brett Daley, Christopher Amato:
Contrasting Centralized and Decentralized Critics in Multi-Agent Reinforcement Learning. 844-852 - Xiaoteng Ma, Yiqin Yang, Chenghao Li, Yiwen Lu, Qianchuan Zhao, Jun Yang:
Modeling the Interaction between Agents in Cooperative Multi-Agent Reinforcement Learning. 853-861 - Tejasvi Malladi, Karpagam Murugappan, Depak Sudarsanam, Ramasubramanian Suriyanarayanan, Arunchandar Vasan:
To hold or not to hold? - Reducing Passenger Missed Connections in Airlines using Reinforcement Learning. 862-870 - Peta Masters, Michael Kirley, Wally Smith:
Extended Goal Recognition: A Planning-Based Model for Strategic Deception. 871-879 - Aditya Mate, Andrew Perrault, Milind Tambe:
Risk-Aware Interventions in Public Health: Planning with Restless Multi-Armed Bandits. 880-888 - Giulio Mazzi, Alberto Castellini, Alessandro Farinelli:
Identification of Unexpected Decisions in Partially Observable Monte-Carlo Planning: A Rule-Based Approach. 889-897 - Ramona Merhej, Fernando P. Santos, Francisco S. Melo, Francisco C. Santos:
Cooperation between Independent Reinforcement Learners under Wealth Inequality and Collective Risks. 898-906 - Nieves Montes, Carles Sierra:
Value-Guided Synthesis of Parametric Normative Systems. 907-915 - Francesca Mosca, Jose M. Such:
ELVIRA: An Explainable Agent for Value and Utility-Driven Multiuser Privacy. 916-924 - Muhammad Faizan, Vasanth Sarathy, Gyan Tatiya, Shivam Goel, Saurav Gyawali, Mateo Guaman Castro, Jivko Sinapov, Matthias Scheutz:
A Novelty-Centric Agent Architecture for Changing Worlds. 925-933 - Cyrus Neary, Zhe Xu, Bo Wu, Ufuk Topcu:
Reward Machines for Cooperative Multi-Agent Reinforcement Learning. 934-942 - Thomas Nedelec, Jules Baudet, Vianney Perchet, Noureddine El Karoui:
Adversarial Learning in Revenue-Maximizing Auctions. 955-963 - Yaru Niu, Rohan R. Paleja, Matthew C. Gombolay:
Multi-Agent Graph-Attention Communication and Teaming. 964-973 - Michael Noukhovitch, Travis LaCroix, Angeliki Lazaridou, Aaron C. Courville:
Emergent Communication under Competition. 974-982 - Caspar Oesterheld, Vincent Conitzer:
Safe Pareto Improvements for Delegated Game Playing. 983-991 - Han-Ching Ou, Haipeng Chen, Shahin Jabbari, Milind Tambe:
Active Screening for Recurrent Diseases: A Reinforcement Learning Approach. 992-1000 - Deval Patel, Arindam Khan, Anand Louis:
Group Fairness for Knapsack Problems. 1001-1009 - Manon Prédhumeau, Lyuba Mancheva, Julie Dugdale, Anne Spalanzani:
An Agent-Based Model to Predict Pedestrians Trajectories with an Autonomous Vehicle in Shared Spaces. 1010-1018 - Ben Rachmut, Roie Zivan, William Yeoh:
Latency-Aware Local Search for Distributed Constraint Optimization. 1019-1027 - Md. Musfiqur Rahman, Ayman Rasheed, Md. Mosaddek Khan, Mohammad Ali Javidian, Pooyan Jamshidi, Md. Mamun-Or-Rashid:
Accelerating Recursive Partition-Based Causal Structure Learning. 1028-1036 - Lokman Rahmani, David Minarsch, Jonathan Ward:
Peer-to-peer Autonomous Agent Communication Network. 1037-1045 - Senthil Rajasekaran, Moshe Y. Vardi:
Nash Equilibria in Finite-Horizon Multiagent Concurrent Games. 1046-1054 - Jingyao Ren, Vikraman Sathiyanarayanan, Eric Ewing, Baskin Senbaslar, Nora Ayanian:
MAPFAST: A Deep Algorithm Selector for Multi Agent Path Finding using Shortest Path Embeddings. 1055-1063 - Sebastian Rodriguez, John Thangarajah, Michael Winikoff:
User and System Stories: An Agile Approach for Managing Requirements in AOSE. 1064-1072 - Charlotte Roman, Michael Dennis, Andrew Critch, Stuart Russell:
Accumulating Risk Capital Through Investing in Cooperation. 1073-1081 - Joshua Romoff, Peter Henderson, David Kanaa, Emmanuel Bengio, Ahmed Touati, Pierre-Luc Bacon, Joelle Pineau:
TDprop: Does Adaptive Optimization With Jacobi Preconditioning Help Temporal Difference Learning? 1082-1090 - Heechang Ryu, Hayong Shin, Jinkyoo Park:
Cooperative and Competitive Biases for Multi-Agent Reinforcement Learning. 1091-1099 - Rohan Saphal, Balaraman Ravindran, Dheevatsa Mudigere, Sasikanth Avancha, Bharat Kaul:
SEERL: Sample Efficient Ensemble Reinforcement Learning. 1100-1108 - Akanksha Saran, Ruohan Zhang, Elaine Schaertl Short, Scott Niekum:
Efficiently Guiding Imitation Learning Agents with Human Gaze. 1109-1117 - Vasanth Sarathy, Daniel Kasenberg, Shivam Goel, Jivko Sinapov, Matthias Scheutz:
SPOTTER: Extending Symbolic Planning Operators through Targeted Reinforcement Learning. 1118-1126 - Amit Sarker, Moumita Choudhury, Md. Mosaddek Khan:
A Local Search Based Approach to Solve Continuous DCOPs. 1127-1135 - Carolyn Saund, Andrei Bîrladeanu, Stacy Marsella:
CMCF: An Architecture for Realtime Gesture Generation by Clustering Gestures by Motion and Communicative Function. 1136-1144 - Grant Schoenebeck, Chenkai Yu, Fang-Yi Yu:
Timely Information from Prediction Markets. 1145-1153 - Nicolas Schwind, Emir Demirovic, Katsumi Inoue, Jean-Marie Lagniez:
Partial Robustness in Team Formation: Bridging the Gap between Robustness and Resilience. 1154-1162 - Ayan Sengupta, Yasser Mohammad, Shinji Nakadai:
An Autonomous Negotiating Agent Framework with Reinforcement Learning based Strategies and Adaptive Strategy Switching Mechanism. 1163-1172 - Anant Shah, Arun Rajkumar:
Sequential Ski Rental Problem. 1173-1181 - Guni Sharon, James Ault, Peter Stone, Varun Raj Kompella, Roberto Capobianco:
Multiagent Epidemiologic Inference through Realtime Contact Tracing. 1182-1190 - Wenlei Shi, Xinran Wei, Jia Zhang, Xiaoyuan Ni, Arthur Jiang, Jiang Bian, Tie-Yan Liu:
Cooperative Policy Learning with Pre-trained Heterogeneous Observation Representations. 1191-1199 - Aditya Shinde, Prashant Doshi, Omid Setayeshfar:
Cyber Attack Intent Recognition and Active Deception using Factored Interactive POMDPs. 1200-1208 - Sujoy Sikdar, Xiaoxi Guo, Haibin Wang, Lirong Xia, Yongzhi Cao:
Sequential Mechanisms for Multi-type Resource Allocation. 1209-1217 - Gustavo R. Silva, Jomi F. Hübner, Leandro Buss Becker:
Active Perception within BDI Agents Reasoning Cycle. 1218-1225 - Thiago D. Simão, Nils Jansen, Matthijs T. J. Spaan:
AlwaysSafe: Reinforcement Learning without Safety Constraint Violations during Training. 1226-1235 - Joseph Singleton, Richard Booth:
Rankings for Bipartite Tournaments via Chain Editing. 1236-1244 - Samuel Spaulding, Jocelyn Shen, Hae Won Park, Cynthia Breazeal:
Towards Transferrable Personalized Student Models in Educational Games. 1245-1253 - Daniel Stan, Anthony W. Lin:
Regular Model Checking Approach to Knowledge Reasoning over Parameterized Systems. 1254-1262 - Alexander Stannat, Can Umut Ileri, Dion Gijswijt, Johan Pouwelse:
Achieving Sybil-Proofness in Distributed Work Systems. 1263-1271 - Thomas Steeples, Julian Gutierrez, Michael J. Wooldridge:
Mean-Payoff Games with ω-Regular Specifications. 1272-1280 - Ankang Sun, Bo Chen, Xuan Vinh Doan:
Connections between Fairness Criteria and Efficiency for Allocating Indivisible Chores. 1281-1289 - Koh Takeuchi, Ryo Nishida, Hisashi Kashima, Masaki Onishi:
Grab the Reins of Crowds: Estimating the Effects of Crowd Movement Guidance Using Causal Inference. 1290-1298 - Shaojie Tang, Jing Yuan:
Adaptive Cascade Submodular Maximization. 1299-1307 - Shi Yuan Tang, Athirai A. Irissappane, Frans A. Oliehoek, Jie Zhang:
Learning Complex Policy Distribution with CEM Guided Adversarial Hypernetwork. 1308-1316 - Yunhao Tang:
Guiding Evolutionary Strategies with Off-Policy Actor-Critic. 1317-1325 - Federico Toffano, Paolo Viappiani, Nic Wilson:
Efficient Exact Computation of Setwise Minimax Regret for Interactive Preference Elicitation. 1326-1334 - Dimitrios Troullinos, Georgios Chalkiadakis, Ioannis Papamichail, Markos Papageorgiou:
Collaborative Multiagent Decision Making for Lane-Free Autonomous Driving. 1335-1343 - Stef Van Havermaet, Yara Khaluf, Pieter Simoens:
No More Hand-Tuning Rewards: Masked Constrained Policy Optimization for Safe Reinforcement Learning. 1344-1352 - Aravind Venugopal, Elizabeth Bondi, Harshavardhan Kamarthi, Keval Dholakia, Balaraman Ravindran, Milind Tambe:
Reinforcement Learning for Unified Allocation and Patrolling in Signaling Games with Uncertainty. 1353-1361 - Timothy Verstraeten, Pieter-Jan Daems, Eugenio Bargiacchi, Diederik M. Roijers, Pieter J. K. Libin, Jan Helsen:
Scalable Optimization for Wind Farm Control using Coordination Graphs. 1362-1370 - Chenhao Wang, Mengqi Zhang:
Fairness and Efficiency in Facility Location Problems with Continuous Demands. 1371-1379 - Guanhua Wang, Runqi Guo, Yuko Sakurai, Muhammad Ali Babar, Mingyu Guo:
Mechanism Design for Public Projects via Neural Networks. 1380-1388 - Marcin Waniek, Jan Woznica, Kai Zhou, Yevgeniy Vorobeychik, Talal Rahwan, Tomasz P. Michalak:
Strategic Evasion of Centrality Measures. 1389-1397 - Hang Xu, Rundong Wang, Lev Raizman, Zinovi Rabinovich:
Transferable Environment Poisoning: Training-time Attack on Reinforcement Learning. 1398-1406 - Bo Yang, Chaofan Ma, Xiaofang Xia:
Drone Formation Control via Belief-Correlated Imitation Learning. 1407-1415 - Yuan Yao, Natasha Alechina, Brian Logan, John Thangarajah:
Intention Progression using Quantitative Summary Information. 1416-1424 - Nutchanon Yongsatianchot, Stacy Marsella:
A Computational Model of Coping for Simulating Human Behavior in High-Stress Situations. 1425-1433 - Adam Zychowski, Jacek Mandziuk:
Evolution of Strategies in Sequential Security Games. 1434-1442
Extended Abstracts
- Ben Abramowitz, Ehud Shapiro, Nimrod Talmon:
How to Amend a Constitution? Model, Axioms, and Supermajority Rules. 1443-1445 - Enrique Areyan Viqueira, Cyrus Cousins, Amy Greenwald:
Learning Competitive Equilibria in Noisy Combinatorial Markets. 1446-1448 - Nicholas Asher, Julie Hunter:
Interpretive Blindness and the Impossibility of Learning from Testimony. 1449-1451 - Julien Audiffren:
Quantifying Human Perception with Multi-Armed Bandits. 1452-1454 - Michiel A. Bakker, Richard Everett, Laura Weidinger, Iason Gabriel, William S. Isaac, Joel Z. Leibo, Edward Hughes:
Modelling Cooperation in Network Games with Spatio-Temporal Complexity. 1455-1457 - Zev Battad, Mei Si:
Image Sequence Understanding through Narrative Sensemaking. 1458-1460 - Ruben Becker, Gianlorenzo D'Angelo, Hugo Gilbert:
Maximizing Influence-Based Group Shapley Centrality. 1461-1463 - Nicholas Bishop, Le Cong Dinh, Long Tran-Thanh:
How to Guide a Non-Cooperative Learner to Cooperate: Exploiting No-Regret Algorithms in System Design. 1464-1466 - Arpita Biswas, Gaurav Aggarwal, Pradeep Varakantham, Milind Tambe:
Learning Index Policies for Restless Bandits with Application to Maternal Healthcare. 1467-1468 - Diogo S. Carvalho, Joana Campos, Manuel Guimarães, Ana Antunes, João Dias, Pedro A. Santos:
CHARET: Character-centered Approach to Emotion Tracking in Stories. 1469-1471 - Hugo Caselles-Dupré, Michaël Garcia Ortiz, David Filliat:
On the Sensory Commutativity of Action Sequences for Embodied Agents. 1472-1474 - Jacopo Castellini, Sam Devlin, Frans A. Oliehoek, Rahul Savani:
Difference Rewards Policy Gradients. 1475-1477 - Rujikorn Charakorn, Poramate Manoonpong, Nat Dilokthanakul:
Learning to Cooperate with Unseen Agents Through Meta-Reinforcement Learning. 1478-1479 - Theodor Cimpeanu, Cedric Perret, The Anh Han:
Promoting Fair Proposers, Fair Responders or Both? Cost-Efficient Interference in the Spatial Ultimatum Game. 1480-1482 - Stefania Costantini, Andrea Formisano, Valentina Pitoni:
A Logic of Inferable in Multi-Agent Systems with Budget and Costs. 1483-1485 - Brett Daley, Cameron Hickert, Christopher Amato:
Stratified Experience Replay: Correcting Multiplicity Bias in Off-Policy Reinforcement Learning. 1486-1488 - Alaa Daoud, Flavien Balbo, Paolo Gianessi, Gauthier Picard:
A Generic Multi-Agent Model for Resource Allocation Strategies in Online On-Demand Transport with Autonomous Vehicles. 1489-1491 - Ayush Deva, Kumar Abhishek, Sujit Gujar:
A Multi-Arm Bandit Approach To Subset Selection Under Constraints. 1492-1494 - Ylva Ferstl, Michael Neff, Rachel McDonnell:
It's A Match! Gesture Generation Using Expressive Parameter Matching. 1495-1497 - Yuval Gabai Schlosberg, Roie Zivan:
Partially Cooperative Multi-Agent Periodic Indivisible Resource Allocation. 1498-1500 - Marta Garnelo, Wojciech Marian Czarnecki, Siqi Liu, Dhruva Tirumala, Junhyuk Oh, Gauthier Gidel, Hado van Hasselt, David Balduzzi:
Pick Your Battles: Interaction Graphs as Population-Level Objectives for Strategic Diversity. 1501-1503 - Athina Georgara, Juan A. Rodríguez-Aguilar, Carles Sierra:
Towards a Competence-Based Approach to Allocate Teams to Tasks. 1504-1506 - Mirco Giacobbe, Mohammadhosein Hasanbeig, Daniel Kroening, Hjalmar Wijk:
Shielding Atari Games with Bounded Prescience. 1507-1509 - Joseph P. Giordano, Annie S. Wu, Arjun Pherwani, H. David Mathias:
Comparison of Desynchronization Methods for a Decentralized Swarm on a Logistical Resupply Problem. 1510-1511 - Mahak Goindani, Jennifer Neville:
Towards Decentralized Social Reinforcement Learning via Ego-Network Extrapolation. 1512-1514 - Rica Gonen, Erel Segal-Halevi:
A Global Multi-Sided Market with Ascending-Price Mechanism. 1515-1517 - Arnaud Grivet Sébert, Nicolas Maudet, Patrice Perny, Paolo Viappiani:
Rank Aggregation by Dissatisfaction Minimisation in the Unavailable Candidate Model. 1518-1520 - Nathanaël Gross-Humbert, Nawal Benabbou, Aurélie Beynier, Nicolas Maudet:
Sequential and Swap Mechanisms for Public Housing Allocation with Quotas and Neighbourhood-Based Utilities. 1521-1523 - Carla Guerra, Francisco S. Melo, Manuel Lopes:
Teaching Unknown Learners to Classify via Feature Importance. 1524-1526 - Wataru Hatanaka, Fumihiro Sasaki, Ryota Yamashina, Atsuo Kawaguchi:
Simultaneous Learning of Moving and Active Perceptual Policies for Autonomous Robot. 1527-1529 - Conor F. Hayes, Mathieu Reymond, Diederik M. Roijers, Enda Howley, Patrick Mannion:
Distributional Monte Carlo Tree Search for Risk-Aware and Multi-Objective Reinforcement Learning. 1530-1532 - Vincent Hsiao, Xinyue Pan, Dana S. Nau, Rina Dechter:
Approximating Spatial Evolutionary Games using Bayesian Networks. 1533-1535 - Dmitry Ivanov, Vladimir Egorov, Aleksei Shpilman:
Balancing Rational and Other-Regarding Preferences in Cooperative-Competitive Environments. 1536-1538 - Anurag Jain, Shoeb Siddiqui, Sujit Gujar:
We might walk together, but I run faster: Network Fairness and Scalability in Blockchains. 1539-1541 - Pallavi Jain, Krzysztof Sornat, Nimrod Talmon:
Preserving Consistency for Liquid Knapsack Voting. 1542-1544 - Wojciech Jamroga, Wojciech Penczek, Teofil Sidoruk:
Strategic Abilities of Asynchronous Agents: Semantic Side Effects. 1545-1547 - Yuan Jiang, Zhiguang Cao, Jie Zhang:
Solving 3D Bin Packing Problem via Multimodal Deep Reinforcement Learning. 1548-1550 - Timotheus Kampik, Juan Carlos Nieves:
Toward Consistent Agreement Approximation in Abstract Argumentation and Beyond. 1551-1553 - Shota Kawajiri, Kazuki Hirashima, Masashi Shiraishi:
Coverage Control under Connectivity Constraints. 1554-1556 - Mehmet Onur Keskin, Umut Çakan, Reyhan Aydogan:
Solver Agent: Towards Emotional and Opponent-Aware Agent for Human-Robot Negotiation. 1557-1559 - Paul A. Knott, Micah Carroll, Sam Devlin, Kamil Ciosek, Katja Hofmann, Anca D. Dragan, Rohin Shah:
Evaluating the Robustness of Collaborative Agents. 1560-1562 - Sonja Kraiczy, Ágnes Cseh, David F. Manlove:
On Weakly and Strongly Popular Rankings. 1563-1565 - Martin Lackner, Jan Maly, Simon Rey:
Fairness in Long-Term Participatory Budgeting. 1566-1568 - Philip Lazos, Francisco J. Marmolejo Cossío, Xinyu Zhou, Jonathan Katz:
RPPLNS: Pay-per-last-N-shares with a Randomised Twist. 1569-1571 - Omer Lev, Wei Lu, Alan Tsang, Yair Zick:
Learning Cooperative Solution Concepts from Voting Behavior: A Case Study on the Israeli Knesset. 1572-1574 - Rotem Lev Lehman, Guy Shani, Roni Stern:
Partial Disclosure of Private Dependencies in Privacy Preserving Planning. 1575-1577 - Fu Li, C. Gregory Plaxton, Vaibhav B. Sinha:
Object Allocation Over a Network of Objects: Mobile Agents with Strict Preferences. 1578-1580 - Jiaoyang Li, Zhe Chen, Daniel Harabor, Peter J. Stuckey, Sven Koenig:
Anytime Multi-Agent Path Finding via Large Neighborhood Search. 1581-1583 - Mickey Li, Arthur Richards, Mahesh Sooriyabandara:
Reliability-Aware Multi-UAV Coverage Path Planning using a Genetic Algorithm. 1584-1586 - Buhong Liu, Maria Polukarov, Carmine Ventre, Lingbo Li, Leslie Kanthan:
Call Markets with Adaptive Clearing Intervals. 1587-1589 - Xiaolong Liu, Weiwei Chen:
Solid Semantics and Extension Aggregation Using Quota Rules under Integrity Constraints. 1590-1592 - Andrei Lupu, Hengyuan Hu, Jakob N. Foerster:
Trajectory Diversity for Zero-Shot Coordination. 1593-1595 - Francisco Martín Rico, Matteo Morelli, Huáscar Espinoza, Francisco J. Rodríguez-Lera, Vicente Matellán Olivera:
Optimized Execution of PDDL Plans using Behavior Trees. 1596-1598 - Katherine Mayo, Michael P. Wellman:
A Strategic Analysis of Portfolio Compression. 1599-1601 - Munyque Mittelmann, Sylvain Bouveret, Laurent Perrussel:
A General Framework for the Logical Representation of Combinatorial Exchange Protocols. 1602-1604 - Anudit Nagar, Cuong Tran, Ferdinando Fioretto:
Privacy-Preserving and Accountable Multi-agent Learning. 1605-1606 - Somjit Nath, Richa Verma, Abhik Ray, Harshad Khadilkar:
SIBRE: Self Improvement Based REwards for Adaptive Feedback in Reinforcement Learning. 1607-1609 - David O'Callaghan, Patrick Mannion:
Tunable Behaviours in Sequential Social Dilemmas using Multi-Objective Reinforcement Learning. 1610-1612 - Takato Okudo, Seiji Yamada:
Online Learning of Shaping Reward with Subgoal Knowledge. 1613-1615 - P. Parnika, Raghuram Bharadwaj Diddigi, Sai Koti Reddy Danda, Shalabh Bhatnagar:
Attention Actor-Critic Algorithm for Multi-Agent Constrained Co-operative Reinforcement Learning. 1616-1618 - Michael Pernpeintner:
Toward a Self-Learning Governance Loop for Competitive Multi-Attribute MAS. 1619-1621 - Hedieh Ranjbartabar, Deborah Richards, Ayse Aysin Bilgin, Cat Kutay:
Personalising the Dialogue of Relational Agents for First-Time Users. 1622-1624 - Sachit Rao, Shrisha Rao:
Finite-time Consensus in the Presence of Malicious Agents. 1625-1627 - Thomas Robinson, Guoxin Su, Minjie Zhang:
Multiagent Task Allocation and Planning with Multi-Objective Requirements. 1628-1630 - Alejandro Romero, Francisco Bellas, Richard J. Duro:
An Autonomous Drive Balancing Strategy for the Design of Purpose in Open-ended Learning Robots. 1631-1633 - Leonardo Rosa Amado, Ramon Fraga Pereira, Felipe Meneguzzi:
Combining LSTMs and Symbolic Approaches for Robust Plan Recognition. 1634-1636 - Enna Sachdeva, Shauharda Khadka, Somdeb Majumdar, Kagan Tumer:
Dynamic Skill Selection for Learning Joint Actions. 1637-1639 - Sandhya Saisubramanian, Shlomo Zilberstein:
Mitigating Negative Side Effects via Environment Shaping. 1640-1642 - Fernando P. Santos, Francisco C. Santos, Jorge M. Pacheco, Simon A. Levin:
Social Network Interventions to Prevent Reciprocity-driven Polarization. 1643-1645 - Aron Sarmasi, Timothy Zhang, Chu-Hung Cheng, Huyen Pham, Xuanchen Zhou, Duong Nguyen, Soumil Shekdar, Joshua McCoy:
HOAD: The Hanabi Open Agent Dataset. 1646-1648 - Gal Shahaf, Ehud Shapiro, Nimrod Talmon:
Egalitarian and Just Digital Currency Networks. 1649-1651 - Shusuke Shigenaka, Shunki Takami, Shuhei Watanabe, Yuki Tanigaki, Yoshihiko Ozaki, Masaki Onishi:
MAS-Bench: Parameter Optimization Benchmark for Multi-agent Crowd Simulation. 1652-1654 - Arambam James Singh, Akshat Kumar, Hoong Chuin Lau:
Approximate Difference Rewards for Scalable Multigent Reinforcement Learning. 1655-1657 - Ghada Sokar, Decebal Constantin Mocanu, Mykola Pechenizkiy:
Self-Attention Meta-Learner for Continual Learning. 1658-1660 - Errikos Streviniotis, Athina Georgara, Georgios Chalkiadakis:
A Succinct Representation Scheme for Cooperative Games under Uncertainty. 1661-1663 - Filipo Studzinski Perotto, Sattar Vakili, Pratik Gajane, Yaser Faghan, Mathieu Bourgais:
Gambler Bandits and the Regret of Being Ruined. 1664-1667 - Chuxiong Sun, Bo Wu, Rui Wang, Xiaohui Hu, Xiaoya Yang, Cong Cong:
Intrinsic Motivated Multi-Agent Communication. 1668-1670 - Wei-Fang Sun, Cheng-Kuang Lee, Chun-Yi Lee:
A Distributional Perspective on Value Function Factorization Methods for Multi-Agent Reinforcement Learning. 1671-1673 - Michal Sustr, Martin Schmid, Matej Moravcík, Neil Burch, Marc Lanctot, Michael Bowling:
Sound Algorithms in Imperfect Information Games. 1674-1676 - Atena M. Tabakhi, Yuanming Xiao, William Yeoh, Roie Zivan:
Branch-and-Bound Heuristics for Incomplete DCOPs. 1677-1679 - Alok Talekar, Sharad Shriram, Nidhin K. Vaidhiyan, Gaurav Aggarwal, Jiangzhuo Chen, Srinivasan Venkatramanan, Lijing Wang, Aniruddha Adiga, Adam Sadilek, Ashish Tendulkar, Madhav V. Marathe, Rajesh Sundaresan, Milind Tambe:
Cohorting to Isolate Asymptomatic Spreaders: An Agent-Based Simulation Study on the Mumbai Suburban Railway. 1680-1682 - Andreia Sofia Teixeira, Francisco C. Santos, Alexandre P. Francisco, Fernando P. Santos:
Eliciting Fairness in Multiplayer Bargaining through Network-Based Role Assignment. 1683-1685 - Paul Tylkin, Goran Radanovic, David C. Parkes:
Learning Robust Helpful Behaviors in Two-Player Cooperative Atari Environments. 1686-1688 - Shresth Verma:
Towards Sample Efficient Learners in Population based Referential Games through Action Advising. 1689-1691 - Hang Wang, Sen Lin, Hamid Jafarkhani, Junshan Zhang:
Distributed Q-Learning with State Tracking for Multi-agent Networked Control. 1692-1694 - Qian Wang, Yurong Chen:
The Tight Bound for Pure Price of Anarchy in an Extended Miner's Dilemma Game. 1695-1697 - Stephen G. Ware, Cory Siler:
The Sabre Narrative Planner: Multi-Agent Coordination with Intentions and Beliefs. 1698-1700 - Shiqing Wu, Quan Bai, Weihua Li:
Learning Policies for Effective Incentive Allocation in Unknown Social Networks. 1701-1703 - Xiang Yan, Yiling Chen:
Optimal Crowdfunding Design. 1704-1706 - Leonid Zeynalvand, Tie Luo, Ewa Andrejczuk, Dusit Niyato, Sin G. Teo, Jie Zhang:
A Blockchain-Enabled Quantitative Approach to Trust and Reputation Management with Sparse Evidence. 1707-1708 - Mingyue Zhang, Zhi Jin, Yang Xu, Zehan Shen, Kun Liu, Keyu Pan:
Fast Adaptation to External Agents via Meta Imitation Counterfactual Regret Advantage. 1709-1711 - Luisa M. Zintgraf, Sam Devlin, Kamil Ciosek, Shimon Whiteson, Katja Hofmann:
Deep Interactive Bayesian Reinforcement Learning via Meta-Learning. 1712-1714
JAAMAS Track
- Babatunde Opeoluwa Akinkunmi, Moyin Florence Babalola:
A Norm Enforcement Mechanism for a Time-Constrained Conditional Normative Framework. 1715-1717 - Rafael H. Bordini, Amal El Fallah Seghrouchni, Koen V. Hindriks, Brian Logan, Alessandro Ricci:
Agent Programming in the Cognitive Era. 1718-1720 - Roberta Calegari, Giovanni Ciatto, Viviana Mascardi, Andrea Omicini:
Logic-based Technologies for Multi-agent Systems: Summary of a Systematic Literature Review. 1721-1723 - Angelo Croatti, Alessandro Ricci:
Programming Agent-based Mobile Apps: The JaCa-Android Framework. 1724-1726 - Riccardo De Masellis, Valentin Goranko:
Logic-based Specification and Verification of Homogeneous Dynamic Multi-agent Systems. 1727-1729 - Edmund H. Durfee, Abhishek Thakur, Eli Goldweber:
On Teammate-Pattern-Aware Autonomy. 1730-1732 - Michael Fisher, Viviana Mascardi, Kristin Y. Rozier, Bernd-Holger Schlingloff, Michael Winikoff, Neil Yorke-Smith:
Summarising a Framework for the Certification of Reliable Autonomous Systems. 1733-1734 - Guangliang Li, Hamdi Dibeklioglu, Shimon Whiteson, Hayley Hung:
Facial Feedback for Reinforcement Learning: A Case Study and Offline Analysis Using the TAMER Framework. 1735-1737 - Anis Najar, Olivier Sigaud, Mohamed Chetouani:
Teaching a Robot with Unlabeled Instructions: The TICS Architecture. 1738-1739 - Harish Ravichandar, Kenneth Shaw, Sonia Chernova:
STRATA: Unified Framework for Task Assignments in Large Teams of Heterogeneous Agents. 1740-1742 - Arles Rodríguez, Jonatan Gómez, Ada Diaconescu:
A Decentralised Self-Healing Approach for Network Topology Maintenance. 1743-1745 - Yang Xiang, Abdulrahman Alshememry:
Constructing Junction Tree Agent Organization with Privacy. 1746-1748
Demonstration Track
- Jaime Arias, Wojciech Penczek, Laure Petrucci, Teofil Sidoruk:
ADT2AMAS: Managing Agents in Attack-Defence Scenarios. 1749-1751 - Matteo Baldoni, Cristina Baroglio, Olivier Boissier, Roberto Micalizio, Stefano Tedeschi:
Distributing Responsibilities for Exception Handling in JaCaMo. 1752-1754 - Chaithanya Basrur, Arambam James Singh, Arunesh Sinha, Akshat Kumar:
Ship-GAN: Generative Modeling Based Maritime Traffic Simulator. 1755-1757 - Zehong Cao, Jie Yun:
An Online Human-Agent Interaction System: A Brain-controlled Agent Playing Games in Unity. 1758-1760 - Adam Dejl, Chloe He, Pranav Mangal, Hasan Mohsin, Bogdan Surdu, Eduard Voinea, Emanuele Albini, Piyawat Lertvittayakumjorn, Antonio Rago, Francesca Toni:
Argflow: A Toolkit for Deep Argumentative Explanations for Neural Networks. 1761-1763 - Angelo Ferrando, Vadim Malvone:
Strategy RV: A Tool to Approximate ATL Model Checking under Imperfect Information and Perfect Recall. 1764-1766 - Timotheus Kampik, Andres Gomez, Andrei Ciortea, Simon Mayer:
Autonomous Agents on the Edge of Things. 1767-1769 - Damian Kurpiewski, Witold Pazderski, Wojciech Jamroga, Yan Kim:
STV+Reductions: Towards Practical Verification of Strategic Ability Using Model Reductions. 1770-1772 - Enrico Liscio, Michiel van der Meer, Catholijn M. Jonker, Pradeep K. Murukannaiah:
A Collaborative Platform for Identifying Context-Specific Values. 1773-1775 - Gilberto Marcon dos Santos, Julie A. Adams:
Scalable Multiple Robot Task Planning with Plan Merging and Conflict Resolution. 1776-1778 - Rajmund Nagy, Taras Kucherenko, Birger Moëll, André Pereira, Hedvig Kjellström, Ulysses Bernardet:
A Framework for Integrating Gesture Generation Models into Interactive Conversational Agents. 1779-1781 - Alexandros Nikou, Anusha Mujumdar, Marin Orlic, Aneta Vulgarakis Feljan:
Symbolic Reinforcement Learning for Safe RAN Control. 1782-1784 - Jacobus G. M. van der Linden, Jesse Mulderij, Bob Huisman, Joris W. den Ouden, Marjan van den Akker, Han Hoogeveen, Mathijs Michiel de Weerdt:
TORS: A Train Unit Shunting and Servicing Simulator. 1785-1787 - Yifeng Zeng, Zhangrui Yao, Yinghui Pan, Wanqing Chen, Junxin Zhou, Junhan Chen, Biyang Ma, Zhong Ming:
ATPT: Automate Typhoon Contingency Plan Generation from Text. 1788-1790 - Lan Zhang, Weihua Li, Quan Bai, Edmund M.-K. Lai:
Graph-based Self-Adaptive Conversational Agent. 1791-1793
Doctoral Consortium
- Ben Armstrong:
Exploring the Relationship Between Social Choice and Machine Learning. 1794-1796 - Jennifer Boyd:
Understanding the Role of Inequality in Creating and Sustaining the Alcohol Harm Paradox using Agent-Based Modelling. 1797-1798 - Martin Bullinger:
Computing Desirable Outcomes in Specific Multi-Agent Scenarios. 1799-1801 - Rachael Colley:
Multi-Agent Ranked Delegations in Voting. 1802-1804 - José Aleixo Cruz:
Learning Realistic and Safe Pedestrian Behavior by Imitation. 1805-1807 - Hossein Haeri:
Reward-Sharing Relational Networks in Multi-Agent Reinforcement Learning as a Framework for Emergent Behavior. 1808-1810 - Naieme Hazrati:
Impact of Recommender Systems on the Dynamics of Users' Choices. 1811-1813 - Zahoor Ul Islam:
Software Engineering Methods for Responsible Artificial Intelligence. 1814-1815 - Jihyun Jeong:
Leveraging Social Interactions in Human-Agent Decision-Making. 1816-1817 - Alexander Lam:
Balancing Fairness, Efficiency and Strategy-Proofness in Voting and Facility Location Problems. 1818-1819 - Matthew V. Law:
Intention-Aware Human-Robot Collaborative Design. 1820-1822 - Patrick Lederer:
Non-manipulability in Set-valued and Probabilistic Social Choice Theory. 1823-1825 - Siddharth Mehrotra:
Modelling Trust in Human-AI Interaction. 1826-1828 - Manon Prédhumeau:
Simulating Realistic Pedestrian Behaviors in the Context of Autonomous Vehicles in Shared Spaces. 1829-1831 - Fatemeh Rastgar:
Exploiting Hidden Convexities for Real-time and Reliable Optimization Algorithms for Challenging Motion Planning and Control Applications. 1832-1834 - Peter Stringer:
Adaptable and Verifiable BDI Reasoning. 1835-1836 - Shi Yuan Tang:
Improving Sample-based Reinforcement Learning through Complex Non-parametric Distributions. 1837-1839 - Carlo Taticchi:
A Concurrent Language for Negotiation and Debate with Argumentation. 1840-1841 - Vignesh Viswanathan:
Computing using Samples: Theoretical Guarantees with the Direct Learning Approach. 1842-1844 - Youssef Mahmoud Youssef:
Inducing Rules about Distributed Robotic Systems for Fault Detection & Diagnosis. 1845-1847 - Sixie Yu:
Design and Analysis of Networks under Strategic Behavior. 1848-1849 - Mengqi Zhang:
Mechanism Design in Facility Location Games. 1850-1852
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