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
Fuente:
arXiv
Guardado en:
| Autor principal: | Dizaji, Aslan S. |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
A Multi-agent Reinforcement Learning Study of Evolution of Communication and Teaching under Libertarian and Utilitarian Governing Systems
por: Dizaji, Aslan S.
Publicado: (2024)
por: Dizaji, Aslan S.
Publicado: (2024)
Multi-agent Reinforcement Learning for Low-Carbon P2P Energy Trading among Self-Interested Microgrids
por: Ren, Junhao, et al.
Publicado: (2026)
por: Ren, Junhao, et al.
Publicado: (2026)
Behavior Modeling for Training-free Building of Private Domain Multi Agent System
por: Cho, Won Ik, et al.
Publicado: (2025)
por: Cho, Won Ik, et al.
Publicado: (2025)
When Identity Overrides Incentives: Representational Choices as Governance Decisions in Multi-Agent LLM Systems
por: Manoranjan, Viswonathan, et al.
Publicado: (2026)
por: Manoranjan, Viswonathan, et al.
Publicado: (2026)
LLM-Enhanced Multi-Agent Reinforcement Learning with Expert Workflow for Real-Time P2P Energy Trading
por: Lou, Chengwei, et al.
Publicado: (2025)
por: Lou, Chengwei, et al.
Publicado: (2025)
From Pixels to Cooperation Multi Agent Reinforcement Learning based on Multimodal World Models
por: Akin, Sureyya, et al.
Publicado: (2025)
por: Akin, Sureyya, et al.
Publicado: (2025)
Dialogue Diplomats: An End-to-End Multi-Agent Reinforcement Learning System for Automated Conflict Resolution and Consensus Building
por: Bolleddu, Deepak
Publicado: (2025)
por: Bolleddu, Deepak
Publicado: (2025)
HedgeAgents: A Balanced-aware Multi-agent Financial Trading System
por: Li, Xiangyu, et al.
Publicado: (2025)
por: Li, Xiangyu, et al.
Publicado: (2025)
MasHost Builds It All: Autonomous Multi-Agent System Directed by Reinforcement Learning
por: Yang, Kuo, et al.
Publicado: (2025)
por: Yang, Kuo, et al.
Publicado: (2025)
Recursive Multi-Agent Trading System: Iterative Optimized Portfolio Strategy Under Geopolitical Uncertainty
por: Yang, Jing, et al.
Publicado: (2026)
por: Yang, Jing, et al.
Publicado: (2026)
GAWM: Global-Aware World Model for Multi-Agent Reinforcement Learning
por: Shi, Zifeng, et al.
Publicado: (2025)
por: Shi, Zifeng, et al.
Publicado: (2025)
Learning Incentive Structures for Cooperative Resilience in Multi-Agent Systems under Social Dilemmas
por: Chacon-Chamorro, Manuela, et al.
Publicado: (2026)
por: Chacon-Chamorro, Manuela, et al.
Publicado: (2026)
MAS-GPT: Training LLMs to Build LLM-based Multi-Agent Systems
por: Ye, Rui, et al.
Publicado: (2025)
por: Ye, Rui, et al.
Publicado: (2025)
Learning Communication Skills in Multi-task Multi-agent Deep Reinforcement Learning
por: Zhu, Changxi, et al.
Publicado: (2025)
por: Zhu, Changxi, et al.
Publicado: (2025)
Multi-Agent Security Tax: Trading Off Security and Collaboration Capabilities in Multi-Agent Systems
por: Peigne-Lefebvre, Pierre, et al.
Publicado: (2025)
por: Peigne-Lefebvre, Pierre, et al.
Publicado: (2025)
Graph Neural Networks with Model-based Reinforcement Learning for Multi-agent Systems
por: Chen, Hanxiao
Publicado: (2024)
por: Chen, Hanxiao
Publicado: (2024)
FinPos: A Position-Aware Trading Agent System for Real Financial Markets
por: Liu, Bijia, et al.
Publicado: (2025)
por: Liu, Bijia, et al.
Publicado: (2025)
An Agent-Centric Dynamical Systems Perspective on Multi-Agent Reinforcement Learning
por: Rudd-Jones, James, et al.
Publicado: (2025)
por: Rudd-Jones, James, et al.
Publicado: (2025)
A Multi-Agent Systems Approach for Peer-to-Peer Energy Trading in Dairy Farming
por: Shah, Mian Ibad Ali, et al.
Publicado: (2023)
por: Shah, Mian Ibad Ali, et al.
Publicado: (2023)
JaxMARL-HFT: GPU-Accelerated Large-Scale Multi-Agent Reinforcement Learning for High-Frequency Trading
por: Mohl, Valentin, et al.
Publicado: (2025)
por: Mohl, Valentin, et al.
Publicado: (2025)
Greedy-based Value Representation for Optimal Coordination in Multi-agent Reinforcement Learning
por: Wan, Lipeng, et al.
Publicado: (2021)
por: Wan, Lipeng, et al.
Publicado: (2021)
AgentODRL: A Large Language Model-based Multi-agent System for ODRL Generation
por: Zhong, Wanle, et al.
Publicado: (2025)
por: Zhong, Wanle, et al.
Publicado: (2025)
SkillMAS: Skill Co-Evolution with LLM-based Multi-Agent System
por: Pan, Shuai, et al.
Publicado: (2026)
por: Pan, Shuai, et al.
Publicado: (2026)
Transformer World Model for Sample Efficient Multi-Agent Reinforcement Learning
por: Deihim, Azad, et al.
Publicado: (2025)
por: Deihim, Azad, et al.
Publicado: (2025)
Agent Primitives: Reusable Latent Building Blocks for Multi-Agent Systems
por: Jin, Haibo, et al.
Publicado: (2026)
por: Jin, Haibo, et al.
Publicado: (2026)
Graph Neural Network-based Multi-agent Reinforcement Learning for Resilient Distributed Coordination of Multi-Robot Systems
por: Goeckner, Anthony, et al.
Publicado: (2024)
por: Goeckner, Anthony, et al.
Publicado: (2024)
Hierarchical Multi-Agent Reinforcement Learning-based Coordinated Spatial Reuse for Next Generation WLANs
por: Yu, Jiaming, et al.
Publicado: (2025)
por: Yu, Jiaming, et al.
Publicado: (2025)
DAO-Agent: Zero Knowledge-Verified Incentives for Decentralized Multi-Agent Coordination
por: Xia, Yihan, et al.
Publicado: (2025)
por: Xia, Yihan, et al.
Publicado: (2025)
Trade in Minutes! Rationality-Driven Agentic System for Quantitative Financial Trading
por: Song, Zifan, et al.
Publicado: (2025)
por: Song, Zifan, et al.
Publicado: (2025)
A General Incentives-Based Framework for Fairness in Multi-agent Resource Allocation
por: Kumar, Ashwin, et al.
Publicado: (2025)
por: Kumar, Ashwin, et al.
Publicado: (2025)
Generalized Intention Modeling in Multi-Agent Reinforcement Learning
por: Odrowaz-Sypniewski, Mateusz, et al.
Publicado: (2026)
por: Odrowaz-Sypniewski, Mateusz, et al.
Publicado: (2026)
Breaking the Communication-Accuracy Trade-off: A Sparsified Information Diffusion Framework for Multi-Agent Collaborative Perception
por: Zha, Jirong, et al.
Publicado: (2026)
por: Zha, Jirong, et al.
Publicado: (2026)
GOV-REK: Governed Reward Engineering Kernels for Designing Robust Multi-Agent Reinforcement Learning Systems
por: Rana, Ashish, et al.
Publicado: (2024)
por: Rana, Ashish, et al.
Publicado: (2024)
Testing BDI-based Multi-Agent Systems using Discrete Event Simulation
por: Baiardi, Martina, et al.
Publicado: (2026)
por: Baiardi, Martina, et al.
Publicado: (2026)
Agents of Diffusion: Enhancing Diffusion Language Models with Multi-Agent Reinforcement Learning for Structured Data Generation (Extended Version)
por: Khanal, Aja, et al.
Publicado: (2026)
por: Khanal, Aja, et al.
Publicado: (2026)
Modelling Opaque Bilateral Market Dynamics in Financial Trading: Insights from a Multi-Agent Simulation Study
por: Vidler, Alicia, et al.
Publicado: (2024)
por: Vidler, Alicia, et al.
Publicado: (2024)
Scalable Multi-Agent Reinforcement Learning for Residential Load Scheduling under Data Governance
por: Qin, Zhaoming, et al.
Publicado: (2021)
por: Qin, Zhaoming, et al.
Publicado: (2021)
CalBench: Evaluating Coordination-Privacy Trade-offs in Multi-Agent LLMs
por: Zou, Chelsea, et al.
Publicado: (2026)
por: Zou, Chelsea, et al.
Publicado: (2026)
EvoSkill: Automated Skill Discovery for Multi-Agent Systems
por: Alzubi, Salaheddin, et al.
Publicado: (2026)
por: Alzubi, Salaheddin, et al.
Publicado: (2026)
Learning Nudges for Conditional Cooperation: A Multi-Agent Reinforcement Learning Model
por: Kulkarni, Shatayu, et al.
Publicado: (2024)
por: Kulkarni, Shatayu, et al.
Publicado: (2024)
Ejemplares similares
-
A Multi-agent Reinforcement Learning Study of Evolution of Communication and Teaching under Libertarian and Utilitarian Governing Systems
por: Dizaji, Aslan S.
Publicado: (2024) -
Multi-agent Reinforcement Learning for Low-Carbon P2P Energy Trading among Self-Interested Microgrids
por: Ren, Junhao, et al.
Publicado: (2026) -
Behavior Modeling for Training-free Building of Private Domain Multi Agent System
por: Cho, Won Ik, et al.
Publicado: (2025) -
When Identity Overrides Incentives: Representational Choices as Governance Decisions in Multi-Agent LLM Systems
por: Manoranjan, Viswonathan, et al.
Publicado: (2026) -
LLM-Enhanced Multi-Agent Reinforcement Learning with Expert Workflow for Real-Time P2P Energy Trading
por: Lou, Chengwei, et al.
Publicado: (2025)