Copertina

Moira: Language-driven Hierarchical Reinforcement Learning for Pair Trading

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Giannouris, Polydoros, Jiang, Yuechen, Qian, Lingfei, Wang, Yuyan, Peng, Xueqing, Huang, Jimin, Xiong, Guojun, Ananiadou, Sophia
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Artificial Intelligence Computation and Language Multiagent Systems
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

NOMAD: A Multi-Agent LLM System for UML Class Diagram Generation from Natural Language Requirements
di: Giannouris, Polydoros, et al.
Pubblicazione: (2025)

MARLIN: Multi-Agent Reinforcement Learning with Murmuration Intelligence and LLM Guidance for Reservoir Management
di: Fu, Heming, et al.
Pubblicazione: (2025)

Plutus: Benchmarking Large Language Models in Low-Resource Greek Finance
di: Peng, Xueqing, et al.
Pubblicazione: (2025)

Goal-conditioned Hierarchical Reinforcement Learning for Sample-efficient and Safe Autonomous Driving at Intersections
di: Huang, Yiou
Pubblicazione: (2025)

Hierarchical Multiagent Reinforcement Learning for Multi-Group Tax Game
di: Guo, Honglei, et al.
Pubblicazione: (2026)

LLM-ALSO: LLM-Driven Adaptive Learning-Signal Optimization for Multi-Agent Reinforcement Learning
di: Wu, Xiaoguang, et al.
Pubblicazione: (2026)

Subgoal-based Hierarchical Reinforcement Learning for Multi-Agent Collaboration
di: Xu, Cheng, et al.
Pubblicazione: (2024)

Hierarchical Multi-Agent Reinforcement Learning-based Coordinated Spatial Reuse for Next Generation WLANs
di: Yu, Jiaming, et al.
Pubblicazione: (2025)

Safety Guaranteed Robust Multi-Agent Reinforcement Learning with Hierarchical Control for Connected and Automated Vehicles
di: Zhang, Zhili, et al.
Pubblicazione: (2023)

Knowing What Not to Do: Leverage Language Model Insights for Action Space Pruning in Multi-agent Reinforcement Learning
di: Liu, Zhihao, et al.
Pubblicazione: (2024)

Multi-agent Reinforcement Learning for Low-Carbon P2P Energy Trading among Self-Interested Microgrids
di: Ren, Junhao, et al.
Pubblicazione: (2026)

LLM-Enhanced Multi-Agent Reinforcement Learning with Expert Workflow for Real-Time P2P Energy Trading
di: Lou, Chengwei, et al.
Pubblicazione: (2025)

Learning to Change: Choreographing Mixed Traffic Through Lateral Control and Hierarchical Reinforcement Learning
di: Wang, Dawei, et al.
Pubblicazione: (2024)

MARS-DA: A Hierarchical Reinforcement Learning Framework for Risk-Aware Multi-Agent Bidding in Power Grids
di: Chen, Jiayi, et al.
Pubblicazione: (2026)

Incentives to Build Houses, Trade Houses, or Trade House Building Skills in Simulated Worlds under Various Governing Systems or Institutions: Comparing Multi-agent Reinforcement Learning to Generative Agent-based Model
di: Dizaji, Aslan S.
Pubblicazione: (2024)

Towards Language-Augmented Multi-Agent Deep Reinforcement Learning
di: Toquebiau, Maxime, et al.
Pubblicazione: (2025)

Hierarchical Lead Critic based Multi-Agent Reinforcement Learning
di: Eckel, David, et al.
Pubblicazione: (2026)

Language Grounded Multi-agent Reinforcement Learning with Human-interpretable Communication
di: Li, Huao, et al.
Pubblicazione: (2024)

Exploring LLM Cryptocurrency Trading Through Fact-Subjectivity Aware Reasoning
di: Wang, Qian, et al.
Pubblicazione: (2024)

Revisiting Communication Efficiency in Multi-Agent Reinforcement Learning from the Dimensional Analysis Perspective
di: Sun, Chuxiong, et al.
Pubblicazione: (2025)

ICRL: Learning to Internalize Self-Critique with Reinforcement Learning
di: Lin, Jianbo, et al.
Pubblicazione: (2026)

Agent-as-Tool: A Study on the Hierarchical Decision Making with Reinforcement Learning
di: Zhang, Yanfei
Pubblicazione: (2025)

Speaking the Language of Teamwork: LLM-Guided Credit Assignment in Multi-Agent Reinforcement Learning
di: Lin, Muhan, et al.
Pubblicazione: (2025)

VIL2C: Value-of-Information Aware Low-Latency Communication for Multi-Agent Reinforcement Learning
di: Zhang, Qian, et al.
Pubblicazione: (2025)

CH-MARL: Constrained Hierarchical Multiagent Reinforcement Learning for Sustainable Maritime Logistics
di: Alqithami, Saad
Pubblicazione: (2025)

Scalable UAV Multi-Hop Networking via Multi-Agent Reinforcement Learning with Large Language Models
di: Xu, Yanggang, et al.
Pubblicazione: (2025)

Peer-to-Peer Energy Trading of Solar and Energy Storage: A Networked Multiagent Reinforcement Learning Approach
di: Feng, Chen, et al.
Pubblicazione: (2024)

Strategic Coordination for Evolving Multi-agent Systems: A Hierarchical Reinforcement and Collective Learning Approach
di: Qin, Chuhao, et al.
Pubblicazione: (2025)

Agents of Diffusion: Enhancing Diffusion Language Models with Multi-Agent Reinforcement Learning for Structured Data Generation (Extended Version)
di: Khanal, Aja, et al.
Pubblicazione: (2026)

Learning Efficient Communication Protocols for Multi-Agent Reinforcement Learning
di: Zhang, Xinren, et al.
Pubblicazione: (2025)

Separation Assurance in Urban Air Mobility Systems using Shared Scheduling Protocols
di: Murthy, Surya, et al.
Pubblicazione: (2025)

VissimRL: A Multi-Agent Reinforcement Learning Framework for Traffic Signal Control Based on Vissim
di: Chang, Hsiao-Chuan, et al.
Pubblicazione: (2026)

Algorithmic Contract Design with Reinforcement Learning Agents
di: Concha, David Molina, et al.
Pubblicazione: (2024)

SocialGFs: Learning Social Gradient Fields for Multi-Agent Reinforcement Learning
di: Long, Qian, et al.
Pubblicazione: (2024)

Reinforcement Learning Enabled Peer-to-Peer Energy Trading for Dairy Farms
di: Shah, Mian Ibad Ali, et al.
Pubblicazione: (2024)

Asynchronous Credit Assignment for Multi-Agent Reinforcement Learning
di: Liang, Yongheng, et al.
Pubblicazione: (2024)

Scalable Hierarchical Reinforcement Learning for Hyper Scale Multi-Robot Task Planning
di: Zhou, Xuan, et al.
Pubblicazione: (2024)

Diffusion-Reinforcement Learning Hierarchical Motion Planning in Multi-agent Adversarial Games
di: Wu, Zixuan, et al.
Pubblicazione: (2024)

Learning Nudges for Conditional Cooperation: A Multi-Agent Reinforcement Learning Model
di: Kulkarni, Shatayu, et al.
Pubblicazione: (2024)

A Hierarchical Deep Reinforcement Learning Framework for Traffic Signal Control with Predictable Cycle Planning
di: Gu, Hankang, et al.
Pubblicazione: (2025)