Copertina

Agentic-KGR: Co-evolutionary Knowledge Graph Construction through Multi-Agent Reinforcement Learning

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Li, Jing, Sun, Zhijie, Zhou, Zhicheng, Qiu, Suming, Huang, Junjie, Sun, Haijia, Qiu, Linyuan
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Logits Replay + MoClip: Stabilized, Low-Cost Post-Training with Minimal Forgetting
di: Qiu, Suming, et al.
Pubblicazione: (2025)

Data Trajectory Alignment for LLM Domain Adaptation: A Two-Phase Synthesis Framework for Telecommunications Mathematics
di: Zhou, Zhicheng, et al.
Pubblicazione: (2025)

DeepJSONEval: Benchmarking Complex Nested JSON Data Mining for Large Language Models
di: Zhou, Zhicheng, et al.
Pubblicazione: (2025)

HES-SQL: Hybrid Reasoning for Efficient Text-to-SQL with Structural Skeleton Guidance
di: Qiu, Suming, et al.
Pubblicazione: (2025)

Action-Graph Policies: Learning Action Co-dependencies in Multi-Agent Reinforcement Learning
di: Gupta, Nikunj, et al.
Pubblicazione: (2026)

Multi-Agent Pointer Transformer: Seq-to-Seq Reinforcement Learning for Multi-Vehicle Dynamic Pickup-Delivery Problems
di: Zou, Zengyu, et al.
Pubblicazione: (2025)

Constructing Ancestral Recombination Graphs through Reinforcement Learning
di: Raymond, Mélanie, et al.
Pubblicazione: (2024)

Block-R1: Rethinking the Role of Block Size in Multi-domain Reinforcement Learning for Diffusion Large Language Models
di: Jiang, Yan, et al.
Pubblicazione: (2026)

Debate2Create: Robot Co-design via Multi-Agent LLM Debate
di: Qiu, Kevin, et al.
Pubblicazione: (2025)

Explicit Credit Assignment through Local Rewards and Dependence Graphs in Multi-Agent Reinforcement Learning
di: Le, Bang Giang, et al.
Pubblicazione: (2026)

FinKario: Event-Enhanced Automated Construction of Financial Knowledge Graph
di: Li, Xiang, et al.
Pubblicazione: (2025)

Multi-Type Preference Learning: Empowering Preference-Based Reinforcement Learning with Equal Preferences
di: Liu, Ziang, et al.
Pubblicazione: (2024)

Beyond Isolation: Multi-Agent Synergy for Improving Knowledge Graph Construction
di: Ye, Hongbin, et al.
Pubblicazione: (2023)

GraphICL: Unlocking Graph Learning Potential in LLMs through Structured Prompt Design
di: Sun, Yuanfu, et al.
Pubblicazione: (2025)

MobileRL: Online Agentic Reinforcement Learning for Mobile GUI Agents
di: Xu, Yifan, et al.
Pubblicazione: (2025)

LLM-based Multi-Agent Reinforcement Learning: Current and Future Directions
di: Sun, Chuanneng, et al.
Pubblicazione: (2024)

KARL: Knowledge Agents via Reinforcement Learning
di: Chang, Jonathan D., et al.
Pubblicazione: (2026)

DynaSearcher: Dynamic Knowledge Graph Augmented Search Agent via Multi-Reward Reinforcement Learning
di: Hao, Chuzhan, et al.
Pubblicazione: (2025)

Behavior Knowledge Merge in Reinforced Agentic Models
di: Yuan, Xiangchi, et al.
Pubblicazione: (2026)

Factored Value Functions for Graph-Based Multi-Agent Reinforcement Learning
di: Rashwan, Ahmed, et al.
Pubblicazione: (2026)

MARS: Co-evolving Dual-System Deep Research via Multi-Agent Reinforcement Learning
di: Chen, Guoxin, et al.
Pubblicazione: (2025)

Why the Agent Made that Decision: Contrastive Explanation Learning for Reinforcement Learning
di: Zuo, Rui, et al.
Pubblicazione: (2024)

Rethinking Graph Generalization through the Lens of Sharpness-Aware Minimization
di: Qiu, Yang, et al.
Pubblicazione: (2026)

Collaborative Multi-Agent Reinforcement Learning for Automated Feature Transformation with Graph-Driven Path Optimization
di: Huang, Xiaohan, et al.
Pubblicazione: (2025)

FP8-RL: A Practical and Stable Low-Precision Stack for LLM Reinforcement Learning
di: Qiu, Zhaopeng, et al.
Pubblicazione: (2026)

Break the Block: Dynamic-size Reasoning Blocks for Diffusion Large Language Models via Monotonic Entropy Descent with Reinforcement Learning
di: Jiang, Yan, et al.
Pubblicazione: (2026)

PUMA: Efficient Continual Graph Learning for Node Classification with Graph Condensation
di: Liu, Yilun, et al.
Pubblicazione: (2023)

BloomGML: Graph Machine Learning through the Lens of Bilevel Optimization
di: Zheng, Amber Yijia, et al.
Pubblicazione: (2024)

VLGOR: Visual-Language Knowledge Guided Offline Reinforcement Learning for Generalizable Agents
di: Liu, Pengsen, et al.
Pubblicazione: (2026)

Learning to Construct Knowledge through Sparse Reference Selection with Reinforcement Learning
di: Yin, Shao-An
Pubblicazione: (2025)

The Actor-Critic Update Order Matters for PPO in Federated Reinforcement Learning
di: Xie, Zhijie, et al.
Pubblicazione: (2025)

GCondenser: Benchmarking Graph Condensation
di: Liu, Yilun, et al.
Pubblicazione: (2024)

Rollout-Training Co-Design for Efficient LLM-Based Multi-Agent Reinforcement Learning
di: Jiang, Zhida, et al.
Pubblicazione: (2026)

Distributed Multi-Agent Reinforcement Learning Based on Graph-Induced Local Value Functions
di: Jing, Gangshan, et al.
Pubblicazione: (2022)

Agent Lightning: Train ANY AI Agents with Reinforcement Learning
di: Luo, Xufang, et al.
Pubblicazione: (2025)

Learning to Compress Graphs via Dual Agents for Consistent Topological Robustness Evaluation
di: Chai, Qisen, et al.
Pubblicazione: (2025)

AgentGym-RL: Training LLM Agents for Long-Horizon Decision Making through Multi-Turn Reinforcement Learning
di: Xi, Zhiheng, et al.
Pubblicazione: (2025)

SolarBoost: Distributed Photovoltaic Power Forecasting Amid Time-varying Grid Capacity
di: Geng, Linyuan, et al.
Pubblicazione: (2025)

Experience Constrained Hierarchical Federated Reinforcement Learning for Large-scale UAV Teams in Hazardous Environments
di: Huang, Qinwei, et al.
Pubblicazione: (2026)

CoActionGraphRec: Sequential Multi-Interest Recommendations Using Co-Action Graphs
di: Sun, Yi, et al.
Pubblicazione: (2024)