Cover Image

Deep Reinforcement Learning Agents for Strategic Production Policies in Microeconomic Market Simulations

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Garrido-Merchán, Eduardo C., Coronado-Vaca, Maria, López-López, Álvaro, de Ibarreta, Carlos Martinez
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence Multiagent Systems
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Multi-Agent Reinforcement Learning Simulation for Environmental Policy Synthesis
by: Rudd-Jones, James, et al.
Published: (2025)

Safe Equilibrium Policy Optimization for Strategic Agent Policies
by: Arumugam, Karthika, et al.
Published: (2026)

Multi-Agent Reinforcement Learning for Market Making: Competition without Collusion
by: Wang, Ziyi, et al.
Published: (2025)

Constructive Conflict-Driven Multi-Agent Reinforcement Learning for Strategic Diversity
by: Mai, Yuxiang, et al.
Published: (2025)

Strategic Self-Improvement for Competitive Agents in AI Labour Markets
by: Chiu, Christopher, et al.
Published: (2025)

Measuring Policy Distance for Multi-Agent Reinforcement Learning
by: Hu, Tianyi, et al.
Published: (2024)

Language Agents with Reinforcement Learning for Strategic Play in the Werewolf Game
by: Xu, Zelai, et al.
Published: (2023)

Multi‐Objective Bayesian Optimization of Deep Reinforcement Learning for Environmental, Social, and Governance (ESG) Financial Portfolio Management
by: Eduardo C. Garrido‐Merchán, et al.
Published: (2025)

Graph Based Deep Reinforcement Learning Aided by Transformers for Multi-Agent Cooperation
by: Elrod, Michael, et al.
Published: (2025)

Joint Intrinsic Motivation for Coordinated Exploration in Multi-Agent Deep Reinforcement Learning
by: Toquebiau, Maxime, et al.
Published: (2024)

Explaining Strategic Decisions in Multi-Agent Reinforcement Learning for Aerial Combat Tactics
by: Selmonaj, Ardian, et al.
Published: (2025)

Fair Compromises in Participatory Budgeting: a Multi-Agent Deep Reinforcement Learning Approach
by: Adams, Hugh, et al.
Published: (2025)

A Network Simulation of OTC Markets with Multiple Agents
by: Wilkinson, James T., et al.
Published: (2024)

Multicopy Reinforcement Learning Agents
by: Wolfe, Alicia P., et al.
Published: (2023)

Adaptive Event-Triggered Policy Gradient for Multi-Agent Reinforcement Learning
by: Siddique, Umer, et al.
Published: (2025)

A Hierarchical Hybrid AI Approach: Integrating Deep Reinforcement Learning and Scripted Agents in Combat Simulations
by: Black, Scotty, et al.
Published: (2025)

CONSCIENTIA: Can LLM Agents Learn to Strategize? Emergent Deception and Trust in a Multi-Agent NYC Simulation
by: Sinha, Aarush, et al.
Published: (2026)

Multi-Agent Target Assignment and Path Finding for Intelligent Warehouse: A Cooperative Multi-Agent Deep Reinforcement Learning Perspective
by: Liu, Qi, et al.
Published: (2024)

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

Representation Learning For Efficient Deep Multi-Agent Reinforcement Learning
by: Huh, Dom, et al.
Published: (2024)

Centralized Permutation Equivariant Policy for Cooperative Multi-Agent Reinforcement Learning
by: Xu, Zhuofan, et al.
Published: (2025)

Vulnerable Agent Identification in Large-Scale Multi-Agent Reinforcement Learning
by: Li, Simin, et al.
Published: (2025)

Scalable Safe Multi-Agent Reinforcement Learning for Multi-Agent System
by: Du, Haikuo, et al.
Published: (2025)

Deep Reinforcement Learning for Multi-Agent Coordination
by: Aina, Kehinde O., et al.
Published: (2025)

Multi-Agent Reinforcement Learning with Communication-Constrained Priors
by: Yang, Guang, et al.
Published: (2025)

Causal Mean Field Multi-Agent Reinforcement Learning
by: Ma, Hao, et al.
Published: (2025)

Memory-Augmented Reinforcement Learning Agent for CAD Generation
by: Xiaolong, Yin, et al.
Published: (2026)

Healthcare Mechanisms from Policy-as-Code Search under Strategic Provider Response
by: Wang, Zihan, et al.
Published: (2026)

EnergAIze: Multi Agent Deep Deterministic Policy Gradient for Vehicle to Grid Energy Management
by: Fonseca, Tiago, et al.
Published: (2024)

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

Simulation-Based Optimistic Policy Iteration For Multi-Agent MDPs with Kullback-Leibler Control Cost
by: Nakhleh, Khaled, et al.
Published: (2024)

Decentralized Coordination of Distributed Energy Resources through Local Energy Markets and Deep Reinforcement Learning
by: May, Daniel, et al.
Published: (2024)

AgentSimulator: An Agent-based Approach for Data-driven Business Process Simulation
by: Kirchdorfer, Lukas, et al.
Published: (2024)

Autonomous Vehicle Patrolling Through Deep Reinforcement Learning: Learning to Communicate and Cooperate
by: Tong, Chenhao, et al.
Published: (2024)

AgentMixer: Multi-Agent Correlated Policy Factorization
by: Li, Zhiyuan, et al.
Published: (2024)

Multi-source Plume Tracing via Multi-Agent Reinforcement Learning
by: Granadeno, Pedro Antonio Alarcon, et al.
Published: (2025)

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

TABX: A High-Throughput Sandbox Battle Simulator for Multi-Agent Reinforcement Learning
by: Lee, Hayeong, et al.
Published: (2026)

Multi-agent Reinforcement Learning with Deep Networks for Diverse Q-Vectors
by: Luo, Zhenglong, et al.
Published: (2024)

Enhancing Traffic Signal Control through Model-based Reinforcement Learning and Policy Reuse
by: Li, Yihong, et al.
Published: (2025)