Cover Image

MARS-DA: A Hierarchical Reinforcement Learning Framework for Risk-Aware Multi-Agent Bidding in Power Grids

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chen, Jiayi, Zhang, Xuan, Wang, Guiling
Format:	Preprint
Published:	2026
Subjects:	Multiagent Systems
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MARS: A Meta-Adaptive Reinforcement Learning Framework for Risk-Aware Multi-Agent Portfolio Management
by: Chen, Jiayi, et al.
Published: (2025)

MemFlow: Intent-Driven Memory Orchestration for Small Language Model Agents
by: Chen, Jiayi, et al.
Published: (2026)

From Standalone LLMs to Integrated Intelligence: A Survey of Compound Al Systems
by: Chen, Jiayi, et al.
Published: (2025)

Grid-Agent: An LLM-Powered Multi-Agent System for Power Grid Control
by: Zhang, Yan, et al.
Published: (2025)

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

Multi-Agent Reinforcement Learning for Multi-Cell Spectrum and Power Allocation
by: Zhang, Yiming, et al.
Published: (2023)

Conservative and Risk-Aware Offline Multi-Agent Reinforcement Learning
by: Eldeeb, Eslam, et al.
Published: (2024)

GAWM: Global-Aware World Model for Multi-Agent Reinforcement Learning
by: Shi, Zifeng, et al.
Published: (2025)

Group-Aware Coordination Graph for Multi-Agent Reinforcement Learning
by: Duan, Wei, et al.
Published: (2024)

Bottom-Up Reputation Promotes Cooperation with Multi-Agent Reinforcement Learning
by: Ren, Tianyu, et al.
Published: (2025)

Multi-agent Reinforcement Learning-based Joint Design of Low-Carbon P2P Market and Bidding Strategy in Microgrids
by: Ren, Junhao, et al.
Published: (2026)

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

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

Attention-Guided Contrastive Role Representations for Multi-Agent Reinforcement Learning
by: Hu, Zican, et al.
Published: (2023)

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

AOI: Context-Aware Multi-Agent Operations via Dynamic Scheduling and Hierarchical Memory Compression
by: Bai, Zishan, et al.
Published: (2025)

Hierarchical Consensus-Based Multi-Agent Reinforcement Learning for Multi-Robot Cooperation Tasks
by: Feng, Pu, et al.
Published: (2024)

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

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

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

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

HAMLET: A Hierarchical and Adaptive Multi-Agent Framework for Live Embodied Theatrics
by: Jiang, Shufan, et al.
Published: (2025)

Trajectory-Class-Aware Multi-Agent Reinforcement Learning
by: Na, Hyungho, et al.
Published: (2025)

Agent-Kernel: A MicroKernel Multi-Agent System Framework for Adaptive Social Simulation Powered by LLMs
by: Mao, Yuren, et al.
Published: (2025)

Multi-Agent Reinforcement Learning for Autonomous Driving: A Survey
by: Zhang, Ruiqi, et al.
Published: (2024)

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

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

Bayesian Ego-graph Inference for Networked Multi-Agent Reinforcement Learning
by: Duan, Wei, et al.
Published: (2025)

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

Making Teams and Influencing Agents: Efficiently Coordinating Decision Trees for Interpretable Multi-Agent Reinforcement Learning
by: Chen, Rex, et al.
Published: (2025)

YOLO-MARL: You Only LLM Once for Multi-Agent Reinforcement Learning
by: Zhuang, Yuan, et al.
Published: (2024)

Double Distillation Network for Multi-Agent Reinforcement Learning
by: Zhou, Yang, et al.
Published: (2025)

Intrinsic Action Tendency Consistency for Cooperative Multi-Agent Reinforcement Learning
by: Zhang, Junkai, et al.
Published: (2024)

Safe Continuous-time Multi-Agent Reinforcement Learning via Epigraph Form
by: Wang, Xuefeng, et al.
Published: (2026)

Heterogeneity in Multi-Agent Reinforcement Learning
by: Hu, Tianyi, et al.
Published: (2025)

Inferring Latent Temporal Sparse Coordination Graph for Multi-Agent Reinforcement Learning
by: Duan, Wei, et al.
Published: (2024)

Communicating Unexpectedness for Out-of-Distribution Multi-Agent Reinforcement Learning
by: Lee, Min Whoo, et al.
Published: (2025)

Meta-Offline and Distributional Multi-Agent RL for Risk-Aware Decision-Making
by: Eldeeb, Eslam, et al.
Published: (2025)

An Agent-Centric Dynamical Systems Perspective on Multi-Agent Reinforcement Learning
by: Rudd-Jones, James, et al.
Published: (2025)

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