Imagen de Portada

HDDLGym: A Tool for Studying Multi-Agent Hierarchical Problems Defined in HDDL with OpenAI Gym

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	La, Ngoc, Mon-Williams, Ruaridh, Shah, Julie A.
Formato:	Preprint
Publicado:	2025
Materias:	Artificial Intelligence Machine Learning Multiagent Systems
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Predicting Multi-Agent Specialization via Task Parallelizability
por: Mieczkowski, Elizabeth, et al.
Publicado: (2025)

NegotiationGym: Self-Optimizing Agents in a Multi-Agent Social Simulation Environment
por: Mangla, Shashank, et al.
Publicado: (2025)

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

LLM Multi-Agent Systems: Challenges and Open Problems
por: Han, Shanshan, et al.
Publicado: (2024)

Challenges in Credit Assignment for Multi-Agent Reinforcement Learning in Open Agent Systems
por: Abadi, Alireza Saleh, et al.
Publicado: (2025)

How to Train a Leader: Hierarchical Reasoning in Multi-Agent LLMs
por: Estornell, Andrew, et al.
Publicado: (2025)

A Multi-Agent Reinforcement Learning Framework for Public Health Decision Analysis
por: Sharma, Dinesh, et al.
Publicado: (2023)

Large Language Models Miss the Multi-Agent Mark
por: La Malfa, Emanuele, et al.
Publicado: (2025)

The Optimization Paradox in Clinical AI Multi-Agent Systems
por: Bedi, Suhana, et al.
Publicado: (2025)

Talk Structurally, Act Hierarchically: A Collaborative Framework for LLM Multi-Agent Systems
por: Wang, Zhao, et al.
Publicado: (2025)

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

InnoGym: Benchmarking the Innovation Potential of AI Agents
por: Zhang, Jintian, et al.
Publicado: (2025)

Reinforced Agent: Inference-Time Feedback for Tool-Calling Agents
por: Ta, Anh, et al.
Publicado: (2026)

Hybrid Agentic AI and Multi-Agent Systems in Smart Manufacturing
por: Farahani, Mojtaba A., et al.
Publicado: (2025)

Hierarchical Pedagogical Oversight: A Multi-Agent Adversarial Framework for Reliable AI Tutoring
por: Sadhu, Saisab, et al.
Publicado: (2025)

A Model-Based Solution to the Offline Multi-Agent Reinforcement Learning Coordination Problem
por: Barde, Paul, et al.
Publicado: (2023)

Generative Multi-Agent Collaboration in Embodied AI: A Systematic Review
por: Wu, Di, et al.
Publicado: (2025)

Skill-Aligned Fairness in Multi-Agent Learning for Collaboration in Healthcare
por: Ekpo, Promise Osaine, et al.
Publicado: (2025)

COOP$^2$: Defining, Observing, and Repairing Cooperation in LLM Multi-Agent Systems
por: Yang, Hanqing, et al.
Publicado: (2026)

Hierarchical Policy-Gradient Reinforcement Learning for Multi-Agent Shepherding Control of Non-Cohesive Targets
por: Covone, Stefano, et al.
Publicado: (2025)

Enhancing Aerial Combat Tactics through Hierarchical Multi-Agent Reinforcement Learning
por: Selmonaj, Ardian, et al.
Publicado: (2025)

Cognify: Supercharging Gen-AI Workflows With Hierarchical Autotuning
por: He, Zijian, et al.
Publicado: (2025)

Hierarchical Reinforcement Learning for Optimal Agent Grouping in Cooperative Systems
por: Hu, Liyuan
Publicado: (2025)

PaperOrchestra: A Multi-Agent Framework for Automated AI Research Paper Writing
por: Song, Yiwen, et al.
Publicado: (2026)

Empirical Study on Robustness and Resilience in Cooperative Multi-Agent Reinforcement Learning
por: Li, Simin, et al.
Publicado: (2025)

Detecting Multi-Agent Collusion Through Multi-Agent Interpretability
por: Rose, Aaron, et al.
Publicado: (2026)

EngiAI: A Multi-Agent Framework and Benchmark Suite for LLM-Driven Engineering Design
por: Molinari, Gioele, et al.
Publicado: (2026)

Hierarchical Adaptive Consensus Network: A Dynamic Framework for Scalable Consensus in Collaborative Multi-Agent AI Systems
por: Shit, Rathin Chandra, et al.
Publicado: (2025)

Agent-Oriented Planning in Multi-Agent Systems
por: Li, Ao, et al.
Publicado: (2024)

Bounded Coupled AI Learning Dynamics in Tri-Hierarchical Drone Swarms
por: Bychkov, Oleksii
Publicado: (2026)

HAWK: A Hierarchical Workflow Framework for Multi-Agent Collaboration
por: Cheng, Yuyang, et al.
Publicado: (2025)

RiskAgent: Synergizing Language Models with Validated Tools for Evidence-Based Risk Prediction
por: Liu, Fenglin, et al.
Publicado: (2025)

EcoFair-CH-MARL: Scalable Constrained Hierarchical Multi-Agent RL with Real-Time Emission Budgets and Fairness Guarantees
por: Alqithami, Saad
Publicado: (2026)

LLM Agents Making Agent Tools
por: Wölflein, Georg, et al.
Publicado: (2025)

GoAgent: Group-of-Agents Communication Topology Generation for LLM-based Multi-Agent Systems
por: Chen, Hongjiang, et al.
Publicado: (2026)

Goal-Oriented Multi-Agent Reinforcement Learning for Decentralized Agent Teams
por: Du, Hung, et al.
Publicado: (2025)

OpenLens AI: Fully Autonomous Research Agent for Health Infomatics
por: Cheng, Yuxiao, et al.
Publicado: (2025)

Context Learning for Multi-Agent Discussion
por: Hua, Xingyuan, et al.
Publicado: (2026)

ROMA: Recursive Open Meta-Agent Framework for Long-Horizon Multi-Agent Systems
por: Alzu'bi, Salaheddin, et al.
Publicado: (2026)

Solving Multi-Agent Multi-Goal Path Finding Problems in Polynomial Time
por: Edelkamp, Stefan
Publicado: (2025)