Imagen de Portada

Dynamic Attentional Context Scoping: Agent-Triggered Focus Sessions for Isolated Per-Agent Steering in Multi-Agent LLM Orchestration

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autor principal:	Patel, Nickson
Formato:	Preprint
Publicado:	2026
Materias:	Multiagent Systems Artificial Intelligence Machine Learning I.2.11; I.2.6
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

When Agents Disagree: The Selection Bottleneck in Multi-Agent LLM Pipelines
por: Maryanskyy, Artem
Publicado: (2026)

Representational Collapse in Multi-Agent LLM Committees: Measurement and Diversity-Aware Consensus
por: Patel, Dipkumar
Publicado: (2026)

AdaptOrch: Task-Adaptive Multi-Agent Orchestration in the Era of LLM Performance Convergence
por: Yu, Geunbin
Publicado: (2026)

Analysing Factorizations of Action-Value Networks for Cooperative Multi-Agent Reinforcement Learning
por: Castellini, Jacopo, et al.
Publicado: (2019)

QTypeMix: Enhancing Multi-Agent Cooperative Strategies through Heterogeneous and Homogeneous Value Decomposition
por: Fu, Songchen, et al.
Publicado: (2024)

Bimanual Robot Manipulation via Multi-Agent In-Context Learning
por: Palma, Alessio, et al.
Publicado: (2026)

PillagerBench: Benchmarking LLM-Based Agents in Competitive Minecraft Team Environments
por: Schipper, Olivier, et al.
Publicado: (2025)

Collaboration Promotes Group Resilience in Multi-Agent RL
por: Shraga, Ilai, et al.
Publicado: (2021)

A Principle of Targeted Intervention for Multi-Agent Reinforcement Learning
por: Liu, Anjie, et al.
Publicado: (2025)

Risk-Sensitive Multi-Agent Reinforcement Learning in Network Aggregative Markov Games
por: Ghaemi, Hafez, et al.
Publicado: (2024)

Distributed Value Decomposition Networks with Networked Agents
por: Varela, Guilherme S., et al.
Publicado: (2025)

Decentralized Aerial Manipulation of a Cable-Suspended Load using Multi-Agent Reinforcement Learning
por: Zeng, Jack, et al.
Publicado: (2025)

Enhancing Heterogeneous Multi-Agent Cooperation in Decentralized MARL via GNN-driven Intrinsic Rewards
por: Monon, Jahir Sadik, et al.
Publicado: (2024)

Networked Agents in the Dark: Team Value Learning under Partial Observability
por: Varela, Guilherme S., et al.
Publicado: (2025)

From Safety Risk to Design Principle: Peer-Preservation in Multi-Agent LLM Systems and Its Implications for Orchestrated Democratic Discourse Analysis
por: Dietrich, Juergen
Publicado: (2026)

MindGames Arena Generalization Track: In2AI Solution with Delayed Per-Step Reward Attribution
por: Korshuk, Aliaksei, et al.
Publicado: (2026)

Centrally Coordinated Multi-Agent Reinforcement Learning for Power Grid Topology Control
por: de Mol, Barbera, et al.
Publicado: (2025)

Emergent Coordination in Multi-Agent Systems via Pressure Fields and Temporal Decay
por: Rodriguez, Roland
Publicado: (2026)

Individual Contributions as Intrinsic Exploration Scaffolds for Multi-agent Reinforcement Learning
por: Li, Xinran, et al.
Publicado: (2024)

Generating Causal Explanations of Vehicular Agent Behavioural Interactions with Learnt Reward Profiles
por: Howard, Rhys, et al.
Publicado: (2025)

Rewarding Beliefs, Not Actions: Consistency-Guided Credit Assignment for Long-Horizon Agents
por: Tang, Wenjie, et al.
Publicado: (2026)

ChromaFlow: A Negative Ablation Study of Orchestration Overhead in Tool-Augmented Agent Evaluation
por: Mittal, Tarun
Publicado: (2026)

David vs. Goliath: Verifiable Agent-to-Agent Jailbreaking via Reinforcement Learning
por: Nellessen, Samuel, et al.
Publicado: (2026)

Knowledge Equivalence in Digital Twins of Intelligent Systems
por: Zhang, Nan, et al.
Publicado: (2022)

Difference Rewards Policy Gradients
por: Castellini, Jacopo, et al.
Publicado: (2020)

Towards General Negotiation Strategies with End-to-End Reinforcement Learning
por: Renting, Bram M., et al.
Publicado: (2024)

Optimally Solving Simultaneous-Move Dec-POMDPs: The Sequential Central Planning Approach
por: Peralez, Johan, et al.
Publicado: (2024)

Safe and Policy-Compliant Multi-Agent Orchestration for Enterprise AI
por: Pasupuleti, Vinil, et al.
Publicado: (2026)

Learning to Communicate Across Modalities: Perceptual Heterogeneity in Multi-Agent Systems
por: Pitzer, Naomi, et al.
Publicado: (2026)

Policy Search, Retrieval, and Composition via Task Similarity in Collaborative Agentic Systems
por: Nath, Saptarshi, et al.
Publicado: (2025)

Differentiable Model Predictive Safety for Heterogeneous Mobility at Urban Intersections
por: Song, Wenzhe, et al.
Publicado: (2026)

Context Engineering: From Prompts to Corporate Multi-Agent Architecture
por: Vishnyakova, Vera V.
Publicado: (2026)

Emergent Coordination in Multi-Agent Language Models
por: Riedl, Christoph
Publicado: (2025)

Learning Approximate Nash Equilibria in Cooperative Multi-Agent Reinforcement Learning via Mean-Field Subsampling
por: Anand, Emile, et al.
Publicado: (2026)

AgentSpawn: Adaptive Multi-Agent Collaboration Through Dynamic Spawning for Long-Horizon Code Generation
por: Costa, Igor
Publicado: (2026)

PRIMA: Operational Patterns for Resilient Multi-Agent Research with Verifiable Identity and Convergent Feedback
por: Annapureddy, Sasank
Publicado: (2026)

Curriculum-Based Iterative Self-Play for Scalable Multi-Drone Racing
por: Akgün, Onur
Publicado: (2025)

Robust and Diverse Multi-Agent Learning via Rational Policy Gradient
por: Lauffer, Niklas, et al.
Publicado: (2025)

SPIRAL: Self-Play Incremental Racing Algorithm for Learning in Multi-Drone Competitions
por: Akgün, Onur
Publicado: (2025)

A Systematic Study of Multi-Agent Deep Reinforcement Learning for Safe and Robust Autonomous Highway Ramp Entry
por: Schester, Larry, et al.
Publicado: (2024)