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AAMAS 2024

A*

International Conference on Autonomous Agents and Multiagent Systems

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462
accepted papers
437
authors
May 6-10, 2024
dates
New Zealand
location

462 / 462 papers

  1. 1
    2D-Ptr: 2D Array Pointer Network for Solving the Heterogeneous Capacitated Vehicle Routing Problem
    Qidong Liu
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  2. 2
    30 Years of Engineering Multi-Agent Systems: What and Why?
    Michael Winikoff
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  3. 3
    A Cloud-Based Microservices Solution for Multi-Agent Traffic Control Systems
    Chikadibia Ihejimba
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  4. 4
    A Comparison of the Myerson Value and the Position Value
    Ayse Mutlu Derya
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  5. 5
    A Complete Landscape for the Price of Envy-Freeness
    Zihao Li
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  6. 6
    A Computational Framework of Human Values
    Nardine Osman
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  7. 7
    A Distributed Approach for Fault Detection in Swarms of Robots
    Alessandro Carminati
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  8. 8
    A Model-Based Solution to the Offline Multi-Agent Reinforcement Learning Coordination Problem
    Paul Barde
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  9. 9
    A Multiagent Path Search Algorithm for Large-Scale Coalition Structure Generation
    Redha Taguelmimt
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  10. 10
    A Negotiator's Backup Plan: Optimal Concessions with a Reservation Value
    Tamara C. P. Florijn
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  11. 11
    A Reinforcement Learning Framework for Studying Group and Individual Fairness
    Alexandra Cimpean
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  12. 12
    A SAT-based Approach for Argumentation Dynamics
    Jean-Marie Lagniez
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  13. 13
    A Simple 1.5-approximation Algorithm for a Wide Range of Maximum Size Stable Matching Problems
    Gergely Csáji
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  14. 14
    A Summary of Online Markov Decision Processes with Non-oblivious Strategic Adversary
    Le Cong Dinh
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  15. 15
    A Summary of the RGS⊕: an RDF Graph Synchronization System for Collaborative Robotics
    Cyrille Berger
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  16. 16
    A Survey of Multi-Agent Deep Reinforcement Learning with Communication
    Changxi Zhu
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  17. 17
    A Symbolic Sequential Equilibria Solver for Game Theory Explorer
    Moritz Graf
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  18. 18
    A Task-Driven Multi-UAV Coalition Formation Mechanism
    Xinpeng Lu
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  19. 19
    A Trajectory Perspective on the Role of Data Sampling Techniques in Offline Reinforcement Learning
    Jinyi Liu
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  20. 20
    Abstracting Assumptions in Structured Argumentation
    Iosif Apostolakis
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  21. 21
    Abstraction in Non-Monotonic Reasoning
    Iosif Apostolakis
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  22. 22
    Act as You Learn: Adaptive Decision-Making in Non-Stationary Markov Decision Processes
    Baiting Luo
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  23. 23
    Actual Trust in Multiagent Systems
    Michael Akintunde
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  24. 24
    Adaptive Decision-Making in Non-Stationary Markov Decision Processes
    Baiting Luo
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  25. 25
    Adaptive Discounting of Training Time Attacks
    Ridhima Bector
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  26. 26
    Adaptive Evolutionary Reinforcement Learning Algorithm with Early Termination Strategy
    Xiaoqiang Wu
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  27. 27
    Adaptive Incentive Engineering in Citizen-Centric AI
    Behrad Koohy
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  28. 28
    Adaptive Primal-Dual Method for Safe Reinforcement Learning
    Weiqin Chen
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  29. 29
    Addressing Permutation Challenges in Multi-Agent Reinforcement Learning
    Somnath Hazra
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  30. 30
    Advancing Sample Efficiency and Explainability in Multi-Agent Reinforcement Learning
    Zhicheng Zhang
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  31. 31
    Agent-Based Triangle Counting and Its Applications in Anonymous Graphs
    Prabhat Kumar Chand
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  32. 32
    Agents and Humans: Trajectories and Perspectives
    Liz Sonenberg
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  33. 33
    Aleatoric Predicates: Reasoning about Marbles
    Tim French
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  34. 34
    Algorithmic Filtering, Out-Group Stereotype, and Polarization on Social Media
    Jean Springsteen
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  35. 35
    Aligning Credit for Multi-Agent Cooperation via Model-based Counterfactual Imagination
    Jiajun Chai
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  36. 36
    Allocating Contiguous Blocks of Indivisible Chores Fairly: Revisited
    Ankang Sun
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  37. 37
    Allocating Resources with Imperfect Information
    Shiji Xing
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  38. 38
    An Online Learning Theory of Brokerage
    Natasa Bolic
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  39. 39
    Analysing the Sample Complexity of Opponent Shaping
    Kitty Fung
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  40. 40
    Analyzing Crowdfunding of Public Projects Under Dynamic Beliefs
    Sankarshan Damle
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  41. 41
    ANOTO: Improving Automated Negotiation via Offline-to-Online Reinforcement Learning
    Siqi Chen
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  42. 42
    Anytime Multi-Agent Path Finding using Operation Parallelism in Large Neighborhood Search
    Shao-Hung Chan
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  43. 43
    Applying Opponent Modeling for Automatic Bidding in Online Repeated Auctions
    Yudong Hu
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  44. 44
    Approximately Fair Allocation of Indivisible Items with Random Valuations
    Alessandro Aloisio
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  45. 45
    Approximating APS Under Submodular and XOS Valuations with Binary Marginals
    Pooja Kulkarni
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  46. 46
    Approximating the Core via Iterative Coalition Sampling
    Ian Gemp
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  47. 47
    Assessing Fairness of Residential Dynamic Pricing for Electricity using Active Learning with Agent-based Simulation
    Swapna Thorve
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  48. 48
    Atlas-X Equity Financing: Unlocking New Methods to Securely Obfuscate Axe Inventory Data Based on Differential Privacy
    Antigoni Polychroniadou
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  49. 49
    Attacking Multi-Player Bandits and How to Robustify Them
    Shivakumar Mahesh
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  50. 50
    Attention Graph for Multi-Robot Social Navigation with Deep Reinforcement Learning
    Erwan Escudie
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