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AAMAS 2024

A*

International Conference on Autonomous Agents and Multiagent Systems

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462
accepted papers
1,512
authors
May 6-10, 2024
dates
New Zealand
location

300 / 462 papers

  1. 1
    2D-Ptr: 2D Array Pointer Network for Solving the Heterogeneous Capacitated Vehicle Routing Problem
    Qidong Liu
    ,
    Chaoyue Liu
    ,
    Shaoyao Niu
    ,
    Cheng Long
    ,
    Jie Zhang
    ,
    Mingliang Xu
  2. 2
    30 Years of Engineering Multi-Agent Systems: What and Why?
    Michael Winikoff
  3. 3
    A Cloud-Based Microservices Solution for Multi-Agent Traffic Control Systems
    Chikadibia Ihejimba
    ,
    Rym Z. Wenkstern
  4. 4
    A Comparison of the Myerson Value and the Position Value
    Ayse Mutlu Derya
  5. 5
    A Complete Landscape for the Price of Envy-Freeness
    Zihao Li
    ,
    Shengxin Liu
    ,
    Xinhang Lu
    ,
    Biaoshuai Tao
    ,
    Yichen Tao
  6. 6
    A Computational Framework of Human Values
    Nardine Osman
    ,
    Mark d'Inverno
  7. 7
    A Distributed Approach for Fault Detection in Swarms of Robots
    Alessandro Carminati
    ,
    Davide Azzalini
    ,
    Simone Vantini
    ,
    Francesco Amigoni
  8. 8
    A Model-Based Solution to the Offline Multi-Agent Reinforcement Learning Coordination Problem
    Paul Barde
    ,
    Jakob N. Foerster
    ,
    Derek Nowrouzezahrai
    ,
    Amy Zhang
  9. 9
    A Multiagent Path Search Algorithm for Large-Scale Coalition Structure Generation
    Redha Taguelmimt
    ,
    Samir Aknine
    ,
    Djamila Boukredera
    ,
    Narayan Changder
    ,
    Tuomas Sandholm
  10. 10
    A Negotiator's Backup Plan: Optimal Concessions with a Reservation Value
    Tamara C. P. Florijn
    ,
    Pinar Yolum
    ,
    Tim Baarslag
  11. 11
    A Reinforcement Learning Framework for Studying Group and Individual Fairness
    Alexandra Cimpean
    ,
    Catholijn M. Jonker
    ,
    Pieter Libin
    ,
    Ann Nowé
  12. 12
    A SAT-based Approach for Argumentation Dynamics
    Jean-Marie Lagniez
    ,
    Emmanuel Lonca
    ,
    Jean-Guy Mailly
  13. 13
    A Simple 1.5-approximation Algorithm for a Wide Range of Maximum Size Stable Matching Problems
    Gergely Csáji
  14. 14
    A Summary of Online Markov Decision Processes with Non-oblivious Strategic Adversary
    Le Cong Dinh
    ,
    David Henry Mguni
    ,
    Long Tran-Thanh
    ,
    Jun Wang
    ,
    Yaodong Yang
  15. 15
    A Summary of the RGS⊕: an RDF Graph Synchronization System for Collaborative Robotics
    Cyrille Berger
    ,
    Patrick Doherty
    ,
    Piotr Rudol
    ,
    Mariusz Wzorek
  16. 16
    A Survey of Multi-Agent Deep Reinforcement Learning with Communication
    Changxi Zhu
    ,
    Mehdi Dastani
    ,
    Shihan Wang
  17. 17
    A Symbolic Sequential Equilibria Solver for Game Theory Explorer
    Moritz Graf
    ,
    Thorsten Engesser
    ,
    Bernhard Nebel
  18. 18
    A Task-Driven Multi-UAV Coalition Formation Mechanism
    Xinpeng Lu
    ,
    Heng Song
    ,
    Huailing Ma
    ,
    Junwu Zhu
  19. 19
    A Trajectory Perspective on the Role of Data Sampling Techniques in Offline Reinforcement Learning
    Jinyi Liu
    ,
    Yi Ma
    ,
    Jianye Hao
    ,
    Yujing Hu
    ,
    Yan Zheng
    ,
    Tangjie Lv
    ,
    Changjie Fan
  20. 20
    Abstracting Assumptions in Structured Argumentation
    Iosif Apostolakis
    ,
    Zeynep G. Saribatur
    ,
    Johannes P. Wallner
  21. 21
    Abstraction in Non-Monotonic Reasoning
    Iosif Apostolakis
  22. 22
    Act as You Learn: Adaptive Decision-Making in Non-Stationary Markov Decision Processes
    Baiting Luo
    ,
    Yunuo Zhang
    ,
    Abhishek Dubey
    ,
    Ayan Mukhopadhyay
  23. 23
    Actual Trust in Multiagent Systems
    Michael Akintunde
    ,
    Vahid Yazdanpanah
    ,
    Asieh Salehi Fathabadi
    ,
    Corina Cîrstea
    ,
    Mehdi Dastani
    ,
    Luc Moreau
  24. 24
    Adaptive Decision-Making in Non-Stationary Markov Decision Processes
    Baiting Luo
  25. 25
    Adaptive Discounting of Training Time Attacks
    Ridhima Bector
    ,
    Abhay Aradhya
    ,
    Chai Quek
    ,
    Zinovi Rabinovich
  26. 26
    Adaptive Evolutionary Reinforcement Learning Algorithm with Early Termination Strategy
    Xiaoqiang Wu
    ,
    Qingling Zhu
    ,
    Qiuzhen Lin
    ,
    Weineng Chen
    ,
    Jianqiang Li
  27. 27
    Adaptive Incentive Engineering in Citizen-Centric AI
    Behrad Koohy
    ,
    Jan Buermann
    ,
    Vahid Yazdanpanah
    ,
    Pamela Briggs
    ,
    Paul Pschierer-Barnfather
    ,
    Enrico H. Gerding
    ,
    Sebastian Stein
  28. 28
    Adaptive Primal-Dual Method for Safe Reinforcement Learning
    Weiqin Chen
    ,
    James Onyejizu
    ,
    Long Vu
    ,
    Lan Hoang
    ,
    Dharmashankar Subramanian
    ,
    Koushik Kar
    ,
    Sandipan Mishra
    ,
    Santiago Paternain
  29. 29
    Addressing Permutation Challenges in Multi-Agent Reinforcement Learning
    Somnath Hazra
    ,
    Pallab Dasgupta
    ,
    Soumyajit Dey
  30. 30
    Advancing Sample Efficiency and Explainability in Multi-Agent Reinforcement Learning
    Zhicheng Zhang
  31. 31
    Agent-Based Triangle Counting and Its Applications in Anonymous Graphs
    Prabhat Kumar Chand
    ,
    Apurba Das
    ,
    Anisur Rahaman Molla
  32. 32
    Agents and Humans: Trajectories and Perspectives
    Liz Sonenberg
  33. 33
    Aleatoric Predicates: Reasoning about Marbles
    Tim French
  34. 34
    Algorithmic Filtering, Out-Group Stereotype, and Polarization on Social Media
    Jean Springsteen
    ,
    William Yeoh
    ,
    Dino P. Christenson
  35. 35
    Aligning Credit for Multi-Agent Cooperation via Model-based Counterfactual Imagination
    Jiajun Chai
    ,
    Yuqian Fu
    ,
    Dongbin Zhao
    ,
    Yuanheng Zhu
  36. 36
    Allocating Contiguous Blocks of Indivisible Chores Fairly: Revisited
    Ankang Sun
    ,
    Bo Li
  37. 37
    Allocating Resources with Imperfect Information
    Shiji Xing
  38. 38
    An Online Learning Theory of Brokerage
    Natasa Bolic
    ,
    Tommaso Cesari
    ,
    Roberto Colomboni
  39. 39
    Analysing the Sample Complexity of Opponent Shaping
    Kitty Fung
    ,
    Qizhen Zhang
    ,
    Chris Lu
    ,
    Jia Wan
    ,
    Timon Willi
    ,
    Jakob N. Foerster
  40. 40
    Analyzing Crowdfunding of Public Projects Under Dynamic Beliefs
    Sankarshan Damle
    ,
    Sujit Gujar
  41. 41
    ANOTO: Improving Automated Negotiation via Offline-to-Online Reinforcement Learning
    Siqi Chen
    ,
    Jianing Zhao
    ,
    Kai Zhao
    ,
    Gerhard Weiss
    ,
    Fengyun Zhang
    ,
    Ran Su
    ,
    Yang Dong
    ,
    Daqian Li
    ,
    Kaiyou Lei
  42. 42
    Anytime Multi-Agent Path Finding using Operation Parallelism in Large Neighborhood Search
    Shao-Hung Chan
    ,
    Zhe Chen
    ,
    Dian-Lun Lin
    ,
    Yue Zhang
    ,
    Daniel Harabor
    ,
    Sven Koenig
    ,
    Tsung-Wei Huang
    ,
    Thomy Phan
  43. 43
    Applying Opponent Modeling for Automatic Bidding in Online Repeated Auctions
    Yudong Hu
    ,
    Congying Han
    ,
    Tiande Guo
    ,
    Hao Xiao
  44. 44
    Approximately Fair Allocation of Indivisible Items with Random Valuations
    Alessandro Aloisio
    ,
    Vittorio Bilò
    ,
    Antonio Mario Caruso
    ,
    Michele Flammini
    ,
    Cosimo Vinci
  45. 45
    Approximating APS Under Submodular and XOS Valuations with Binary Marginals
    Pooja Kulkarni
    ,
    Rucha Kulkarni
    ,
    Ruta Mehta
  46. 46
    Approximating the Core via Iterative Coalition Sampling
    Ian Gemp
    ,
    Marc Lanctot
    ,
    Luke Marris
    ,
    Yiran Mao
    ,
    Edgar A. Duéñez-Guzmán
    ,
    Sarah Perrin
    ,
    András György
    ,
    Romuald Elie
    ,
    Georgios Piliouras
    ,
    Michael Kaisers
    ,
    Daniel Hennes
    ,
    Kalesha Bullard
    ,
    Kate Larson
    ,
    Yoram Bachrach
  47. 47
    Assessing Fairness of Residential Dynamic Pricing for Electricity using Active Learning with Agent-based Simulation
    Swapna Thorve
    ,
    Henning S. Mortveit
    ,
    Anil Vullikanti
    ,
    Madhav V. Marathe
    ,
    Samarth Swarup
  48. 48
    Atlas-X Equity Financing: Unlocking New Methods to Securely Obfuscate Axe Inventory Data Based on Differential Privacy
    Antigoni Polychroniadou
    ,
    Gabriele Cipriani
    ,
    Richard Hua
    ,
    Tucker Balch
  49. 49
    Attacking Multi-Player Bandits and How to Robustify Them
    Shivakumar Mahesh
    ,
    Anshuka Rangi
    ,
    Haifeng Xu
    ,
    Long Tran-Thanh
  50. 50
    Attention Graph for Multi-Robot Social Navigation with Deep Reinforcement Learning
    Erwan Escudie
    ,
    Laëtitia Matignon
    ,
    Jacques Saraydaryan