Visualizing Coalition Formation: From Hedonic Games to Image Segmentation
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | França, Pedro Henrique de Paula, Felipe, Lucas Lopes, Menasché, Daniel Sadoc |
|---|---|
| Format: | Preprint |
| Publié: |
2026
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
Harnessing Embodied Agents: Runtime Governance for Policy-Constrained Execution
par: Qin, Xue, et autres
Publié: (2026)
par: Qin, Xue, et autres
Publié: (2026)
Rewarding Beliefs, Not Actions: Consistency-Guided Credit Assignment for Long-Horizon Agents
par: Tang, Wenjie, et autres
Publié: (2026)
par: Tang, Wenjie, et autres
Publié: (2026)
DualGFL: Federated Learning with a Dual-Level Coalition-Auction Game
par: Chen, Xiaobing, et autres
Publié: (2024)
par: Chen, Xiaobing, et autres
Publié: (2024)
Emergent Coordination in Multi-Agent Systems via Pressure Fields and Temporal Decay
par: Rodriguez, Roland
Publié: (2026)
par: Rodriguez, Roland
Publié: (2026)
Hidden in Memory: Sleeper Memory Poisoning in LLM Agents
par: Pulipaka, Sidharth, et autres
Publié: (2026)
par: Pulipaka, Sidharth, et autres
Publié: (2026)
A Simulation of Ageing and Care Accessibility in Italian Inner Areas
par: garrone, Roberto
Publié: (2025)
par: garrone, Roberto
Publié: (2025)
Towards Optimal Agentic Architectures for Offensive Security Tasks
par: David, Isaac, et autres
Publié: (2026)
par: David, Isaac, et autres
Publié: (2026)
PARNESS: A Paper Harness for End-to-End Automated Scientific Research with Dynamic Workflows, Full-Text Indexing, and Cross-Run Knowledge Accumulation
par: Wang, Yuchen, et autres
Publié: (2026)
par: Wang, Yuchen, et autres
Publié: (2026)
Distributed Agent Reasoning Across Independent Systems With Strict Data Locality
par: Vaughan, Daniel, et autres
Publié: (2025)
par: Vaughan, Daniel, et autres
Publié: (2025)
Coalition Formation with Bounded Coalition Size
par: Levinger, Chaya, et autres
Publié: (2023)
par: Levinger, Chaya, et autres
Publié: (2023)
FedFMS: Exploring Federated Foundation Models for Medical Image Segmentation
par: Liu, Yuxi, et autres
Publié: (2024)
par: Liu, Yuxi, et autres
Publié: (2024)
Insuring Every Action: An Authority Frontier Framework for Runtime Actuarial Control of Autonomous AI Agents
par: Chen, Hao-Hsuan
Publié: (2026)
par: Chen, Hao-Hsuan
Publié: (2026)
Governance Architecture for Autonomous Agent Systems: Threats, Framework, and Engineering Practice
par: Ge, Yuxu
Publié: (2026)
par: Ge, Yuxu
Publié: (2026)
One Policy, Infinite NPCs: Persona-Traceable Shared RL Policies for Scalable Game Agents
par: Hong, Yoosung
Publié: (2026)
par: Hong, Yoosung
Publié: (2026)
Generative Evolutionary Meta-Solver (GEMS): Scalable Surrogate-Free Multi-Agent Reinforcement Learning
par: Sharma, Alakh, et autres
Publié: (2025)
par: Sharma, Alakh, et autres
Publié: (2025)
Owner-Harm: A Missing Threat Model for AI Agent Safety
par: Zhang, Dongcheng, et autres
Publié: (2026)
par: Zhang, Dongcheng, et autres
Publié: (2026)
When the Agent Is the Adversary: Architectural Requirements for Agentic AI Containment After the April 2026 Frontier Model Escape
par: Mitchell, Richard Joseph
Publié: (2026)
par: Mitchell, Richard Joseph
Publié: (2026)
ILION: Deterministic Pre-Execution Safety Gates for Agentic AI Systems
par: Chitan, Florin Adrian
Publié: (2026)
par: Chitan, Florin Adrian
Publié: (2026)
Session Risk Memory (SRM): Temporal Authorization for Deterministic Pre-Execution Safety Gates
par: Chitan, Florin Adrian
Publié: (2026)
par: Chitan, Florin Adrian
Publié: (2026)
David vs. Goliath: Verifiable Agent-to-Agent Jailbreaking via Reinforcement Learning
par: Nellessen, Samuel, et autres
Publié: (2026)
par: Nellessen, Samuel, et autres
Publié: (2026)
Learning To Help: Training Models to Assist Legacy Devices
par: Wu, Yu, et autres
Publié: (2024)
par: Wu, Yu, et autres
Publié: (2024)
ME-IGM: Individual-Global-Max in Maximum Entropy Multi-Agent Reinforcement Learning
par: Chen, Wen-Tse, et autres
Publié: (2024)
par: Chen, Wen-Tse, et autres
Publié: (2024)
Robust and Diverse Multi-Agent Learning via Rational Policy Gradient
par: Lauffer, Niklas, et autres
Publié: (2025)
par: Lauffer, Niklas, et autres
Publié: (2025)
Analysing Factorizations of Action-Value Networks for Cooperative Multi-Agent Reinforcement Learning
par: Castellini, Jacopo, et autres
Publié: (2019)
par: Castellini, Jacopo, et autres
Publié: (2019)
ChromaFlow: A Negative Ablation Study of Orchestration Overhead in Tool-Augmented Agent Evaluation
par: Mittal, Tarun
Publié: (2026)
par: Mittal, Tarun
Publié: (2026)
StatePlane: A Cognitive State Plane for Long-Horizon AI Systems Under Bounded Context
par: Annapureddy, Sasank, et autres
Publié: (2026)
par: Annapureddy, Sasank, et autres
Publié: (2026)
Procedural Game Level Design with Deep Reinforcement Learning
par: Özkan, Miraç Buğra
Publié: (2025)
par: Özkan, Miraç Buğra
Publié: (2025)
Knowledge Equivalence in Digital Twins of Intelligent Systems
par: Zhang, Nan, et autres
Publié: (2022)
par: Zhang, Nan, et autres
Publié: (2022)
FunKAN: Functional Kolmogorov-Arnold Network for Medical Image Enhancement and Segmentation
par: Penkin, Maksim, et autres
Publié: (2025)
par: Penkin, Maksim, et autres
Publié: (2025)
Memory-Augmented State Machine Prompting: A Novel LLM Agent Framework for Real-Time Strategy Games
par: Qi, Runnan, et autres
Publié: (2025)
par: Qi, Runnan, et autres
Publié: (2025)
Hierarchy Entropy Degeneration Explains the Rat Utopia Population Collapse: The Role of Full Visibility and Isolation
par: Mantzaris, Alexander V.
Publié: (2025)
par: Mantzaris, Alexander V.
Publié: (2025)
Feasibility of Federated Learning from Client Databases with Different Brain Diseases and MRI Modalities
par: Wagner, Felix, et autres
Publié: (2024)
par: Wagner, Felix, et autres
Publié: (2024)
Riemannian Manifold Learning for Stackelberg Games with Neural Flow Representations
par: Liu, Larkin, et autres
Publié: (2025)
par: Liu, Larkin, et autres
Publié: (2025)
Multi-Agent Reinforcement Learning for Deadlock Handling among Autonomous Mobile Robots
par: Müller, Marcel
Publié: (2025)
par: Müller, Marcel
Publié: (2025)
Instruction-Level Weight Shaping: A Framework for Self-Improving AI Agents
par: Costa, Rimom
Publié: (2025)
par: Costa, Rimom
Publié: (2025)
Latent Cache Flow: Model-to-Model Communication Without Text
par: Rossi, Maximillian, et autres
Publié: (2026)
par: Rossi, Maximillian, et autres
Publié: (2026)
Advancing Multimodal Agent Reasoning with Long-Term Neuro-Symbolic Memory
par: Jiang, Rongjie, et autres
Publié: (2026)
par: Jiang, Rongjie, et autres
Publié: (2026)
LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain
par: Weigang, Li, et autres
Publié: (2025)
par: Weigang, Li, et autres
Publié: (2025)
Mean-Field Reinforcement Learning without Synchrony
par: Yang, Shan
Publié: (2026)
par: Yang, Shan
Publié: (2026)
Safe and Policy-Compliant Multi-Agent Orchestration for Enterprise AI
par: Pasupuleti, Vinil, et autres
Publié: (2026)
par: Pasupuleti, Vinil, et autres
Publié: (2026)
Documents similaires
-
Harnessing Embodied Agents: Runtime Governance for Policy-Constrained Execution
par: Qin, Xue, et autres
Publié: (2026) -
Rewarding Beliefs, Not Actions: Consistency-Guided Credit Assignment for Long-Horizon Agents
par: Tang, Wenjie, et autres
Publié: (2026) -
DualGFL: Federated Learning with a Dual-Level Coalition-Auction Game
par: Chen, Xiaobing, et autres
Publié: (2024) -
Emergent Coordination in Multi-Agent Systems via Pressure Fields and Temporal Decay
par: Rodriguez, Roland
Publié: (2026) -
Hidden in Memory: Sleeper Memory Poisoning in LLM Agents
par: Pulipaka, Sidharth, et autres
Publié: (2026)