Cover Image

EARCP: Self-Regulating Coherence-Aware Ensemble Architecture for Sequential Decision Making -- Ensemble Auto-Regule par Coherence et Performance

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Amega, Mike
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence Multiagent Systems 68T05, 68Q32, 62L12 I.2.6; I.2.11; F.2.2
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Multi-Agent Decision-Focused Learning via Value-Aware Sequential Communication
by: Amoh, Benjamin, et al.
Published: (2026)

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

Solving Zebra Puzzles Using Constraint-Guided Multi-Agent Systems
by: Berman, Shmuel, et al.
Published: (2024)

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

Regret Bounds for Robust Online Decision Making
by: Appel, Alexander, et al.
Published: (2025)

Federated Domain Generalization with Data-free On-server Matching Gradient
by: Nguyen, Trong-Binh, et al.
Published: (2025)

Agentic Discovery of Neural Architectures: AIRA-Compose and AIRA-Design
by: Pepe, Alberto, et al.
Published: (2026)

AI Agents: Evolution, Architecture, and Real-World Applications
by: Krishnan, Naveen
Published: (2025)

On the Fundamental Limitations of Decentralized Learnable Reward Shaping in Cooperative Multi-Agent Reinforcement Learning
by: Akella, Aditya
Published: (2025)

The Six Sigma Agent: Achieving Enterprise-Grade Reliability in LLM Systems Through Consensus-Driven Decomposed Execution
by: Patel, Khush, et al.
Published: (2026)

Federated Learning and Class Imbalances
by: Zhu, Siqi, et al.
Published: (2026)

The Current and Future Perspectives of Zinc Oxide Nanoparticles in the Treatment of Diabetes Mellitus
by: Yousaf, Iqra
Published: (2024)

Causal Direction from Convergence Time: Faster Training in the True Causal Direction
by: Tamim, Abdulrahman
Published: (2026)

RPRA: Predicting an LLM-Judge for Efficient but Performant Inference
by: Ashley, Dylan R., et al.
Published: (2026)

Retrieval-Augmented Memory for Online Learning
by: Du, Wenzhang
Published: (2025)

Territory Paint Wars: Diagnosing and Mitigating Failure Modes in Competitive Multi-Agent PPO
by: Singh, Diyansha
Published: (2026)

Cooperative Task Execution in Multi-Agent Systems
by: Karishma, et al.
Published: (2024)

NeuroState-Bench: A Human-Calibrated Benchmark for Commitment Integrity in LLM Agent Profiles
by: Jia, Xiao
Published: (2026)

Adaptive Minds: Empowering Agents with LoRA-as-Tools
by: Shekar, Pavan C, et al.
Published: (2025)

Closed-Form Beta Distribution Estimation from Sparse Statistics with Random Forest Implicit Regularization
by: Landers, Jonathan R.
Published: (2025)

Semantic-Constrained Federated Aggregation: Convergence Theory and Privacy-Utility Bounds for Knowledge-Enhanced Distributed Learning
by: Arafat, Jahidul
Published: (2025)

Optimistic Feasible Search for Closed-Loop Fair Threshold Decision-Making
by: Du, Wenzhang
Published: (2025)

Your Data, My Model: Learning Who Really Helps in Federated Learning
by: Abdurakhmanova, Shamsiiat, et al.
Published: (2024)

Dynamic Dual-Granularity Skill Bank for Agentic RL
by: Tu, Songjun, et al.
Published: (2026)

Sparse Knowledge Distillation: A Mathematical Framework for Probability-Domain Temperature Scaling and Multi-Stage Compression
by: Flouro, Aaron R., et al.
Published: (2026)

Client-Conditional Federated Learning via Local Training Data Statistics
by: Brännvall, Rickard
Published: (2026)

How to Correctly do Semantic Backpropagation on Language-based Agentic Systems
by: Wang, Wenyi, et al.
Published: (2024)

RACAS: Controlling Diverse Robots With a Single Agentic System
by: Ashley, Dylan R., et al.
Published: (2026)

The Self Driving Portfolio: Agentic Architecture for Institutional Asset Management
by: Ang, Andrew, et al.
Published: (2026)

Superior Scoring Rules for Probabilistic Evaluation of Single-Label Multi-Class Classification Tasks
by: Ahmadian, Rouhollah, et al.
Published: (2024)

On measuring grounding and generalizing grounding problems
by: Quigley, Daniel, et al.
Published: (2025)

Frequency Principle: Fourier Analysis Sheds Light on Deep Neural Networks
by: Xu, Zhi-Qin John, et al.
Published: (2019)

Backpropagation Through Time For Networks With Long-Term Dependencies
by: Bird, George, et al.
Published: (2021)

Adaptive Latent-Space Constraints in Personalized Federated Learning
by: Ayromlou, Sana, et al.
Published: (2025)

Agent Skills for Large Language Models: Architecture, Acquisition, Security, and the Path Forward
by: Xu, Renjun, et al.
Published: (2026)

Aligning Inductive Bias for Data-Efficient Generalization in State Space Models
by: Chen, Qiyu, et al.
Published: (2025)

Ambiguous Online Learning
by: Kosoy, Vanessa
Published: (2025)

Adaptive Discretization in Online Reinforcement Learning
by: Sinclair, Sean R., et al.
Published: (2021)

Emergent Collective Memory in Decentralized Multi-Agent AI Systems
by: Khushiyant
Published: (2025)

RL-LLM-DT: An Automatic Decision Tree Generation Method Based on RL Evaluation and LLM Enhancement
by: Lin, Junjie, et al.
Published: (2024)