MARS: A Meta-Adaptive Reinforcement Learning Framework for Risk-Aware Multi-Agent Portfolio Management
Fuente:
arXiv
Saved in:
| Main Authors: | Chen, Jiayi, Li, Jing, Wang, Guiling |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
MARS-DA: A Hierarchical Reinforcement Learning Framework for Risk-Aware Multi-Agent Bidding in Power Grids
by: Chen, Jiayi, et al.
Published: (2026)
by: Chen, Jiayi, et al.
Published: (2026)
Conservative and Risk-Aware Offline Multi-Agent Reinforcement Learning
by: Eldeeb, Eslam, et al.
Published: (2024)
by: Eldeeb, Eslam, et al.
Published: (2024)
An Offline Multi-Agent Reinforcement Learning Framework for Radio Resource Management
by: Eldeeb, Eslam, et al.
Published: (2025)
by: Eldeeb, Eslam, et al.
Published: (2025)
Trajectory-Class-Aware Multi-Agent Reinforcement Learning
by: Na, Hyungho, et al.
Published: (2025)
by: Na, Hyungho, et al.
Published: (2025)
Double Distillation Network for Multi-Agent Reinforcement Learning
by: Zhou, Yang, et al.
Published: (2025)
by: Zhou, Yang, et al.
Published: (2025)
RiskQ: Risk-sensitive Multi-Agent Reinforcement Learning Value Factorization
by: Shen, Siqi, et al.
Published: (2023)
by: Shen, Siqi, et al.
Published: (2023)
Adaptive Context Length Optimization with Low-Frequency Truncation for Multi-Agent Reinforcement Learning
by: Duan, Wenchang, et al.
Published: (2025)
by: Duan, Wenchang, et al.
Published: (2025)
A Survey of Multi-Agent Deep Reinforcement Learning with Communication
by: Zhu, Changxi, et al.
Published: (2022)
by: Zhu, Changxi, et al.
Published: (2022)
Continuous-Time Value Iteration for Multi-Agent Reinforcement Learning
by: Wang, Xuefeng, et al.
Published: (2025)
by: Wang, Xuefeng, et al.
Published: (2025)
Safe Multi-Agent Deep Reinforcement Learning for Privacy-Aware Edge-Device Collaborative DNN Inference
by: Wang, Hong, et al.
Published: (2026)
by: Wang, Hong, et al.
Published: (2026)
DeltaHedge: A Multi-Agent Framework for Portfolio Options Optimization
by: Bańka, Feliks, et al.
Published: (2025)
by: Bańka, Feliks, et al.
Published: (2025)
Adaptive TD-Lambda for Cooperative Multi-agent Reinforcement Learning
by: Deng, Yue, et al.
Published: (2026)
by: Deng, Yue, et al.
Published: (2026)
MemFlow: Intent-Driven Memory Orchestration for Small Language Model Agents
by: Chen, Jiayi, et al.
Published: (2026)
by: Chen, Jiayi, et al.
Published: (2026)
Tacit Learning with Adaptive Information Selection for Cooperative Multi-Agent Reinforcement Learning
by: Liu, Lunjun, et al.
Published: (2024)
by: Liu, Lunjun, et al.
Published: (2024)
Optimistic ε-Greedy Exploration for Cooperative Multi-Agent Reinforcement Learning
by: Zhang, Ruoning, et al.
Published: (2025)
by: Zhang, Ruoning, et al.
Published: (2025)
Mini Honor of Kings: A Lightweight Environment for Multi-Agent Reinforcement Learning
by: Liu, Lin, et al.
Published: (2024)
by: Liu, Lin, et al.
Published: (2024)
Stronger-MAS: Multi-Agent Reinforcement Learning for Collaborative LLMs
by: Zhao, Yujie, et al.
Published: (2025)
by: Zhao, Yujie, et al.
Published: (2025)
MARS: Efficient, Adaptive Co-Scheduling for Heterogeneous Agentic Systems
by: Wang, Yifei, et al.
Published: (2026)
by: Wang, Yifei, et al.
Published: (2026)
A Tensor Network Implementation of Multi Agent Reinforcement Learning
by: Howard, Sunny
Published: (2024)
by: Howard, Sunny
Published: (2024)
Multi-Agent Model-Based Reinforcement Learning with Joint State-Action Learned Embeddings
by: Wang, Zhizun, et al.
Published: (2026)
by: Wang, Zhizun, et al.
Published: (2026)
Multi-Agent Craftax: Benchmarking Open-Ended Multi-Agent Reinforcement Learning at the Hyperscale
by: Omari, Bassel Al, et al.
Published: (2025)
by: Omari, Bassel Al, et al.
Published: (2025)
LEED: A Highly Efficient and Scalable LLM-Empowered Expert Demonstrations Framework for Multi-Agent Reinforcement Learning
by: Duan, Tianyang, et al.
Published: (2025)
by: Duan, Tianyang, et al.
Published: (2025)
Group-Aware Coordination Graph for Multi-Agent Reinforcement Learning
by: Duan, Wei, et al.
Published: (2024)
by: Duan, Wei, et al.
Published: (2024)
Focusing Influence Mechanism for Multi-Agent Reinforcement Learning
by: Park, Yisak, et al.
Published: (2025)
by: Park, Yisak, et al.
Published: (2025)
Generalized Intention Modeling in Multi-Agent Reinforcement Learning
by: Odrowaz-Sypniewski, Mateusz, et al.
Published: (2026)
by: Odrowaz-Sypniewski, Mateusz, et al.
Published: (2026)
An Initial Introduction to Cooperative Multi-Agent Reinforcement Learning
by: Amato, Christopher
Published: (2024)
by: Amato, Christopher
Published: (2024)
Fully Independent Communication in Multi-Agent Reinforcement Learning
by: Pina, Rafael, et al.
Published: (2024)
by: Pina, Rafael, et al.
Published: (2024)
Interactive Distillation for Cooperative Multi-Agent Reinforcement Learning
by: Cho, Minwoo, et al.
Published: (2026)
by: Cho, Minwoo, et al.
Published: (2026)
MADQRL: Distributed Quantum Reinforcement Learning Framework for Multi-Agent Environments
by: Sawaika, Abhishek, et al.
Published: (2026)
by: Sawaika, Abhishek, et al.
Published: (2026)
Preference-Guided Learning for Sparse-Reward Multi-Agent Reinforcement Learning
by: Bui, The Viet, et al.
Published: (2025)
by: Bui, The Viet, et al.
Published: (2025)
Learning to Coordinate via Quantum Entanglement in Multi-Agent Reinforcement Learning
by: Gardiner, John, et al.
Published: (2026)
by: Gardiner, John, et al.
Published: (2026)
MIXRTs: Toward Interpretable Multi-Agent Reinforcement Learning via Mixing Recurrent Soft Decision Trees
by: Liu, Zichuan, et al.
Published: (2022)
by: Liu, Zichuan, et al.
Published: (2022)
CAMMARL: Conformal Action Modeling in Multi Agent Reinforcement Learning
by: Gupta, Nikunj, et al.
Published: (2023)
by: Gupta, Nikunj, et al.
Published: (2023)
Events as Triggers for Behavioral Diversity in Multi-Agent Reinforcement Learning
by: Büchi, Hannes, et al.
Published: (2026)
by: Büchi, Hannes, et al.
Published: (2026)
Multi Agent Reinforcement Learning for Sequential Satellite Assignment Problems
by: Holder, Joshua, et al.
Published: (2024)
by: Holder, Joshua, et al.
Published: (2024)
Hierarchical Lead Critic based Multi-Agent Reinforcement Learning
by: Eckel, David, et al.
Published: (2026)
by: Eckel, David, et al.
Published: (2026)
Distributed Multi-Agent Reinforcement Learning with One-hop Neighbors and Compute Straggler Mitigation
by: Wang, Baoqian, et al.
Published: (2022)
by: Wang, Baoqian, et al.
Published: (2022)
MARVEL: Multi-Agent Reinforcement-Learning for Large-Scale Variable Speed Limits
by: Zhang, Yuhang, et al.
Published: (2023)
by: Zhang, Yuhang, et al.
Published: (2023)
Adaptability in Multi-Agent Reinforcement Learning: A Framework and Unified Review
by: Hu, Siyi, et al.
Published: (2025)
by: Hu, Siyi, et al.
Published: (2025)
Integrated Noise and Safety Management in UAM via A Unified Reinforcement Learning Framework
by: Murthy, Surya, et al.
Published: (2025)
by: Murthy, Surya, et al.
Published: (2025)
Similar Items
-
MARS-DA: A Hierarchical Reinforcement Learning Framework for Risk-Aware Multi-Agent Bidding in Power Grids
by: Chen, Jiayi, et al.
Published: (2026) -
Conservative and Risk-Aware Offline Multi-Agent Reinforcement Learning
by: Eldeeb, Eslam, et al.
Published: (2024) -
An Offline Multi-Agent Reinforcement Learning Framework for Radio Resource Management
by: Eldeeb, Eslam, et al.
Published: (2025) -
Trajectory-Class-Aware Multi-Agent Reinforcement Learning
by: Na, Hyungho, et al.
Published: (2025) -
Double Distillation Network for Multi-Agent Reinforcement Learning
by: Zhou, Yang, et al.
Published: (2025)