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Multi-Agent Systems

62 directly classified papers

Papers per year

Papers

Unveiling the Truth and Facilitating Change: Towards Agent-based Large-scale Social Movement Simulation ACL 2024
Simulating Expert Discussions with Multi-agent for Enhanced Scientific Problem Solving ACL 2024
Polarization of Autonomous Generative AI Agents Under Echo Chambers ACL 2024
ATM: Adversarial Tuning Multi-agent System Makes a Robust Retrieval-Augmented Generator EMNLP 2024
MultiAgent Collaboration Attack: Investigating Adversarial Attacks in Large Language Model Collaborations via Debate EMNLP 2024
How Personality Traits Influence Negotiation Outcomes? A Simulation based on Large Language Models EMNLP 2024
Beyond Natural Language: LLMs Leveraging Alternative Formats for Enhanced Reasoning and Communication EMNLP 2024
Collaboration Helps Camera Overtake LiDAR in 3D Detection CVPR 2023
Polynomial-Time Linear-Swap Regret Minimization in Imperfect-Information Sequential Games NIPS 2023
SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement Learning NIPS 2023
Automatic Grouping for Efficient Cooperative Multi-Agent Reinforcement Learning NIPS 2023
FJMP: Factorized Joint Multi-Agent Motion Prediction Over Learned Directed Acyclic Interaction Graphs CVPR 2023
Adaptive Discrete Communication Bottlenecks with Dynamic Vector Quantization for Heterogeneous Representational Coarseness AAAI 2023
So many design choices: Improving and interpreting neural agent communication in signaling games ACL 2023
Blocking Influence at Collective Level with Hard Constraints (Student Abstract) AAAI 2022
Distributional Reward Estimation for Effective Multi-agent Deep Reinforcement Learning NIPS 2022
Turbocharging Solution Concepts: Solving NEs, CEs and CCEs with Neural Equilibrium Solvers NIPS 2022
Distributed Influence-Augmented Local Simulators for Parallel MARL in Large Networked Systems NIPS 2022
DeepFoids: Adaptive Bio-Inspired Fish Simulation with Deep Reinforcement Learning NIPS 2022
Efficient Deep Learning for Multi Agent Pathfinding AAAI 2022
Learning Game-Theoretic Models of Multiagent Trajectories Using Implicit Layers AAAI 2021
Multi-agent Reinforcement Learning for Decentralized Coalition Formation Games AAAI 2021
Decentralized Policy Gradient Descent Ascent for Safe Multi-Agent Reinforcement Learning AAAI 2021
Computing Ex Ante Coordinated Team-Maxmin Equilibria in Zero-Sum Multiplayer Extensive-Form Games AAAI 2021
Analyzing Games with a Variable Number of Players AAAI 2021