Image de couverture de livre

StatePlane: A Cognitive State Plane for Long-Horizon AI Systems Under Bounded Context

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Annapureddy, Sasank, Mulcahy, John, Thamatani, Anjaneya Prasad
Format:	Preprint
Publié:	2026
Sujets:	Artificial Intelligence I.2.6; I.2.11
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

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

Rewarding Beliefs, Not Actions: Consistency-Guided Credit Assignment for Long-Horizon Agents
par: Tang, Wenjie, et autres
Publié: (2026)

Robust and Diverse Multi-Agent Learning via Rational Policy Gradient
par: Lauffer, Niklas, et autres
Publié: (2025)

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

Advancing Multimodal Agent Reasoning with Long-Term Neuro-Symbolic Memory
par: Jiang, Rongjie, et autres
Publié: (2026)

When Can Human-AI Teams Outperform Individuals? Tight Bounds with Impossibility Guarantees
par: Guo, Dongxin, et autres
Publié: (2026)

Instruction-Level Weight Shaping: A Framework for Self-Improving AI Agents
par: Costa, Rimom
Publié: (2025)

Safe and Policy-Compliant Multi-Agent Orchestration for Enterprise AI
par: Pasupuleti, Vinil, et autres
Publié: (2026)

Bimanual Robot Manipulation via Multi-Agent In-Context Learning
par: Palma, Alessio, et autres
Publié: (2026)

One Policy, Infinite NPCs: Persona-Traceable Shared RL Policies for Scalable Game Agents
par: Hong, Yoosung
Publié: (2026)

Umwelt Engineering: Designing the Cognitive Worlds of Linguistic Agents
par: Jehu-Appiah, Rodney
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)

Fuzzy, Symbolic, and Contextual: Enhancing LLM Instruction via Cognitive Scaffolding
par: Figueiredo, Vanessa
Publié: (2025)

When Outcome Looks Right But Discipline Fails: Trace-Based Evaluation Under Hidden Competitor State
par: Zhu, Peiying, et autres
Publié: (2026)

A Framework for Assessing AI Agent Decisions and Outcomes in AutoML Pipelines
par: Du, Gaoyuan, et autres
Publié: (2026)

Knowledge Equivalence in Digital Twins of Intelligent Systems
par: Zhang, Nan, et autres
Publié: (2022)

SIA: Self Improving AI with Harness & Weight Updates
par: Hebbar, Prannay, et autres
Publié: (2026)

When Actions Disappear: Adversarial Action Removal in Self-Play Reinforcement Learning
par: Kujur, Arahan
Publié: (2026)

Dynamic Dual-Granularity Skill Bank for Agentic RL
par: Tu, Songjun, et autres
Publié: (2026)

FlowSteer: Towards Agents Designing Agentic Workflows via Reinforced Progressive Canvas Editing
par: Zhang, Mingda, et autres
Publié: (2026)

How Good is ChatGPT in Giving Adaptive Guidance Using Knowledge Graphs in E-Learning Environments?
par: Ocheja, Patrick, et autres
Publié: (2024)

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

Extending NGU to Multi-Agent RL: A Preliminary Study
par: Hernandez, Juan, et autres
Publié: (2025)

The Stochastic Gap: A Markovian Framework for Pre-Deployment Reliability and Oversight-Cost Auditing in Agentic Artificial Intelligence
par: Pal, Biplab, et autres
Publié: (2026)

QTypeMix: Enhancing Multi-Agent Cooperative Strategies through Heterogeneous and Homogeneous Value Decomposition
par: Fu, Songchen, et autres
Publié: (2024)

Learning To Help: Training Models to Assist Legacy Devices
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)

Analysing Factorizations of Action-Value Networks for Cooperative Multi-Agent Reinforcement Learning
par: Castellini, Jacopo, et autres
Publié: (2019)

Advancing Transformer Architecture in Long-Context Large Language Models: A Comprehensive Survey
par: Huang, Yunpeng, et autres
Publié: (2023)

N-Agent Ad Hoc Teamwork
par: Wang, Caroline, et autres
Publié: (2024)

Rethinking AI Hardware: A Three-Layer Cognitive Architecture for Autonomous Agents
par: Chen, Li
Publié: (2026)

Dynamic Attentional Context Scoping: Agent-Triggered Focus Sessions for Isolated Per-Agent Steering in Multi-Agent LLM Orchestration
par: Patel, Nickson
Publié: (2026)

Procedural Game Level Design with Deep Reinforcement Learning
par: Özkan, Miraç Buğra
Publié: (2025)

PillagerBench: Benchmarking LLM-Based Agents in Competitive Minecraft Team Environments
par: Schipper, Olivier, et autres
Publié: (2025)

Council Mode: A Heterogeneous Multi-Agent Consensus Framework for Reducing LLM Hallucination and Bias
par: Wu, Shuai, et autres
Publié: (2026)

Evolved Developmental Artificial Neural Networks for Multitasking with Advanced Activity Dependence
par: Zhang, Yintong, et autres
Publié: (2024)

When to Forget: A Memory Governance Primitive
par: Simsek, Baris
Publié: (2026)

Portable Agent Memory: A Protocol for Cryptographically-Verified Memory Transfer Across Heterogeneous AI Agents
par: Ravindran, Santhosh Kumar
Publié: (2026)

MindGames Arena Generalization Track: In2AI Solution with Delayed Per-Step Reward Attribution
par: Korshuk, Aliaksei, et autres
Publié: (2026)

Policy Search, Retrieval, and Composition via Task Similarity in Collaborative Agentic Systems
par: Nath, Saptarshi, et autres
Publié: (2025)