Artificial Intelligence › Core AI ›

Multi-Agent Systems

3306 directly classified papers

Papers per year

Papers

Many Minds, One Path: LLM-Augmented Consensus Decision for Distributed Control in Multi-Agent Collaborative Stable Scenarios AAAI 2026

Think How Your Teammates Think: Active Inference Can Benefit Decentralized Execution AAAI 2026

Augmented Runtime Collaboration for Self-Organizing Multi-Agent Systems: A Hybrid Bi-Criteria Routing Approach AAAI 2026

Learning to Generate and Extract: A Multi-Agent Collaboration Framework for Zero-Shot Document-Level Event Arguments Extraction AAAI 2026

Scalable Solution Methods for Dec-POMDPs with Deterministic Dynamics AAAI 2026

Theory-of-Mind in Partially Observed, Mixed-Motive Games AAAI 2026

Multi-Robot Learning from Human Feedback AAAI 2026

SciDataMAS: LLM-Driven MAS for Scientific Data Management (Student Abstract) AAAI 2026

CtoD-MAT: Bridging Centralized and Decentralized Execution in Multi-Agent Reinforcement Learning (Student Abstract) AAAI 2026

Computing Equilibrium Nominations in Presidential Elections AAAI 2026

Fairness and Stability for Shared Resource Allocation Problems AAAI 2026

Existence of 2-EFX Allocations of Chores AAAI 2026

Fair Incentives for Early Arrival in 0-1 Cooperative Games AAAI 2026

Area-Optimal Control Strategies for Heterogeneous Multi-Agent Pursuit AAAI 2026

On Condorcet’s Jury Theorem with Abstention AAAI 2026

Fairness in the Multi-Secretary Problem AAAI 2026

Weakest Bidder Types and New Core-Selecting Combinatorial Auctions AAAI 2026

Decidable Multi-agent Epistemic Planning: A Situation Calculus Approach AAAI 2026

Non-Monotonic S4F Standpoint Logic AAAI 2026

Beyond the Lower Bound: Bridging Regret Minimization and Best Arm Identification in Lexicographic Bandits AAAI 2026

Local Guidance for Configuration-Based Multi-Agent Pathfinding AAAI 2026

Truncated Counterfactual Learning for Anytime Multi-Agent Path Finding AAAI 2026

A Graph-Theoretical Perspective on Law Design for Multiagent Systems AAAI 2026

Incremental Data-Driven Policy Synthesis via Game Abstractions AAAI 2026

Flexible, Lifelong, Explainable, and Robust Solutions for Multi-Agent Path Finding Problems AAAI 2026