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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
Randomized Truthful Auctions with Learning Agents
NIPS 2024
Accelerated Regularized Learning in Finite N-Person Games
NIPS 2024
CulturePark: Boosting Cross-cultural Understanding in Large Language Models
NIPS 2024
Advancing Open-Set Domain Generalization Using Evidential Bi-Level Hardest Domain Scheduler
NIPS 2024
Would You Like Your Data to Be Trained? A User Controllable Recommendation Framework
AAAI 2024
Traffic Flow Optimisation for Lifelong Multi-Agent Path Finding
AAAI 2024
Learning the Expected Core of Strictly Convex Stochastic Cooperative Games
NIPS 2024
The Logic of Doxastic Strategies
AAAI 2024
Minimum Coverage Sets for Training Robust Ad Hoc Teamwork Agents
AAAI 2024
Not so griddy: Internal representations of RNNs path integrating more than one agent
NIPS 2024
Adaptive Anytime Multi-Agent Path Finding Using Bandit-Based Large Neighborhood Search
AAAI 2024
AUGUR: Practical Mobile Multipath Transport Service for Low Tail Latency in Real-Time Streaming
NSDI 2024
Fast Last-Iterate Convergence of Learning in Games Requires Forgetful Algorithms
NIPS 2024
Multi-agent Long-term 3D Human Pose Forecasting via Interaction-aware Trajectory Conditioning
CVPR 2024
RTracker: Recoverable Tracking via PN Tree Structured Memory
CVPR 2024
ProAgent: Building Proactive Cooperative Agents with Large Language Models
AAAI 2024
Task-Conditioned Adaptation of Visual Features in Multi-Task Policy Learning
CVPR 2024
SRAP-Agent: Simulating and Optimizing Scarce Resource Allocation Policy with LLM-based Agent
EMNLP 2024
AgentsCourt: Building Judicial Decision-Making Agents with Court Debate Simulation and Legal Knowledge Augmentation
EMNLP 2024
$\widetilde{O}(T^{-1})$ Convergence to (coarse) correlated equilibria in full-information general-sum Markov games
L4DC 2024
OpenToM: A Comprehensive Benchmark for Evaluating Theory-of-Mind Reasoning Capabilities of Large Language Models
ACL 2024
Distributed on-the-fly control of multi-agent systems with unknown dynamics: Using limited data to obtain near-optimal control
L4DC 2024
TRIP NEGOTIATOR: A Travel Persona-aware Reinforced Dialogue Generation Model for Personalized Integrative Negotiation in Tourism
EMNLP 2024
The Dormant Neuron Phenomenon in Multi-Agent Reinforcement Learning Value Factorization
NIPS 2024
Differentially Private Reinforcement Learning with Self-Play
NIPS 2024
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