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Methodology
← Core AI
Artificial Intelligence
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Core AI
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Multi-Agent Systems
3306 directly classified papers
Papers per year
2003: 3
2005: 4
2006: 6
2007: 10
2008: 10
2009: 11
2010: 8
2011: 12
2012: 11
2013: 25
2014: 18
2015: 19
2016: 25
2017: 96
2018: 117
2019: 248
2020: 262
2021: 315
2022: 287
2023: 339
2024: 453
2025: 737
2026: 290
Papers
Bias-Robust Bayesian Optimization via Dueling Bandits
ICML 2021
Emerging Methods of Auction Design in Social Networks
IJCAI 2021
Multi-Agent Abstract Argumentation Frameworks With Incomplete Knowledge of Attacks
IJCAI 2021
Multi-Agent Intention Progression with Black-Box Agents
IJCAI 2021
SocAoG: Incremental Graph Parsing for Social Relation Inference in Dialogues
ACL 2021
Learning Interaction Kernels for Agent Systems on Riemannian Manifolds
ICML 2021
Multi-Agent Training beyond Zero-Sum with Correlated Equilibrium Meta-Solvers
ICML 2021
Incentivizing Compliance with Algorithmic Instruments
ICML 2021
Dialogue Response Selection with Hierarchical Curriculum Learning
IJCNLP 2021
Co-evolution of language and agents in referential games
EACL 2021
Modelling Behavioural Diversity for Learning in Open-Ended Games
ICML 2021
Online Submodular Resource Allocation with Applications to Rebalancing Shared Mobility Systems
ICML 2021
Collaborative Bayesian Optimization with Fair Regret
ICML 2021
PHASE: PHysically-grounded Abstract Social Events for Machine Social Perception
AAAI 2021
Reaching Individually Stable Coalition Structures in Hedonic Games
AAAI 2021
The Influence of Memory in Multi-Agent Consensus
AAAI 2021
Software for Agent-based Network Simulation and Visualization
AAAI 2021
Stochastic Market Games
IJCAI 2021
BOSS: A Bi-directional Search Technique for Optimal Coalition Structure Generation with Minimal Overlapping (Student Abstract)
AAAI 2021
Decentralized Multi-Agent Linear Bandits with Safety Constraints
AAAI 2021
If You Like Shapley Then You’ll Love the Core
AAAI 2021
Market-Based Explanations of Collective Decisions
AAAI 2021
From Behavioral Theories to Econometrics: Inferring Preferences of Human Agents from Data on Repeated Interactions
AAAI 2021
On the Approximation of Nash Equilibria in Sparse Win-Lose Multi-player Games
AAAI 2021
Multi-Party Campaigning
AAAI 2021
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