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Methodology
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Artificial Intelligence
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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
T2MAC: Targeted and Trusted Multi-Agent Communication through Selective Engagement and Evidence-Driven Integration
AAAI 2024
CAVEN: An Embodied Conversational Agent for Efficient Audio-Visual Navigation in Noisy Environments
AAAI 2024
Natural Strategic Ability in Stochastic Multi-Agent Systems
AAAI 2024
FoX: Formation-Aware Exploration in Multi-Agent Reinforcement Learning
AAAI 2024
Backpropagation Through Agents
AAAI 2024
Drones Help Drones: A Collaborative Framework for Multi-Drone Object Trajectory Prediction and Beyond
NIPS 2024
Learning Equilibria in Adversarial Team Markov Games: A Nonconvex-Hidden-Concave Min-Max Optimization Problem
NIPS 2024
Reasoning Multi-Agent Behavioral Topology for Interactive Autonomous Driving
NIPS 2024
Language Grounded Multi-agent Reinforcement Learning with Human-interpretable Communication
NIPS 2024
WhodunitBench: Evaluating Large Multimodal Agents via Murder Mystery Games
NIPS 2024
DGPO: Discovering Multiple Strategies with Diversity-Guided Policy Optimization
AAAI 2024
Promoting Fairness Among Dynamic Agents in Online-Matching Markets under Known Stationary Arrival Distributions
NIPS 2024
CooHOI: Learning Cooperative Human-Object Interaction with Manipulated Object Dynamics
NIPS 2024
On Disentanglement of Asymmetrical Knowledge Transfer for Modality-Task Agnostic Federated Learning
AAAI 2024
ReConcile: Round-Table Conference Improves Reasoning via Consensus among Diverse LLMs
ACL 2024
TrajCLIP: Pedestrian trajectory prediction method using contrastive learning and idempotent networks
NIPS 2024
Measuring Mutual Policy Divergence for Multi-Agent Sequential Exploration
NIPS 2024
BeliefFlow: A Framework for Logic-Based Belief Diffusion via Iterated Belief Change
AAAI 2024
Safe Exploitative Play with Untrusted Type Beliefs
NIPS 2024
Provable Partially Observable Reinforcement Learning with Privileged Information
NIPS 2024
Abstraction of Situation Calculus Concurrent Game Structures
AAAI 2024
Experiential Co-Learning of Software-Developing Agents
ACL 2024
Opponent Modeling based on Subgoal Inference
NIPS 2024
Learning to Cooperate with Humans using Generative Agents
NIPS 2024
‘Why Didn’t You Allocate This Task to Them?’ Negotiation-Aware Task Allocation and Contrastive Explanation Generation
AAAI 2024
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