Cover Image

A Comprehensive Survey of Deep Research: Systems, Methodologies, and Applications

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Xu, Renjun, Peng, Jingwen
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence Multiagent Systems I.2.8
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

AgensFlow: A Coordination-Policy Substrate for Multi-Agent Systems
by: Koenigstein, Nicole
Published: (2026)

Autonomous Decision Making for UAV Cooperative Pursuit-Evasion Game with Reinforcement Learning
by: Zhao, Yang, et al.
Published: (2024)

PillagerBench: Benchmarking LLM-Based Agents in Competitive Minecraft Team Environments
by: Schipper, Olivier, et al.
Published: (2025)

Social Interpretable Reinforcement Learning
by: Custode, Leonardo Lucio, et al.
Published: (2024)

EMOS: Embodiment-aware Heterogeneous Multi-robot Operating System with LLM Agents
by: Chen, Junting, et al.
Published: (2024)

TRIZ Agents: A Multi-Agent LLM Approach for TRIZ-Based Innovation
by: Szczepanik, Kamil, et al.
Published: (2025)

Privacy Preserving Multi Agent Path Finding
by: Lehman, Rotem Lev, et al.
Published: (2026)

Building Large-Scale Drone Defenses from Small-Team Strategies
by: Douglas, Grant, et al.
Published: (2026)

ROTATE: Regret-driven Open-ended Training for Ad Hoc Teamwork
by: Wang, Caroline, et al.
Published: (2025)

EcoNet: Multiagent Planning and Control Of Household Energy Resources Using Active Inference
by: Boik, John C., et al.
Published: (2025)

From Idea to CAD: A Language Model-Driven Multi-Agent System for Collaborative Design
by: Ocker, Felix, et al.
Published: (2025)

A Systematic Study of Multi-Agent Deep Reinforcement Learning for Safe and Robust Autonomous Highway Ramp Entry
by: Schester, Larry, et al.
Published: (2024)

LLMs as Orchestrators: Constraint-Compliant Multi-Agent Optimization for Recommendation Systems
by: Zhang, Guilin, et al.
Published: (2026)

Enhancing Multi-Criteria Decision Analysis with AI: Integrating Analytic Hierarchy Process and GPT-4 for Automated Decision Support
by: Svoboda, Igor, et al.
Published: (2024)

Mimosa Framework: Toward Evolving Multi-Agent Systems for Scientific Research
by: Legrand, Martin, et al.
Published: (2026)

Centrally Coordinated Multi-Agent Reinforcement Learning for Power Grid Topology Control
by: de Mol, Barbera, et al.
Published: (2025)

A survey of air combat behavior modeling using machine learning
by: Gorton, Patrick Ribu, et al.
Published: (2024)

DM$^2$: Decentralized Multi-Agent Reinforcement Learning for Distribution Matching
by: Wang, Caroline, et al.
Published: (2022)

Exploring Multi-Agent Reinforcement Learning for Unrelated Parallel Machine Scheduling
by: Zampella, Maria, et al.
Published: (2024)

Can Semantic Methods Enhance Team Sports Tactics? A Methodology for Football with Broader Applications
by: Di Rubbo, Alessio, et al.
Published: (2026)

On Convex Optimal Value Functions For POSGs
by: Cunha, Rafael F., et al.
Published: (2023)

CONSENT: A Negotiation Framework for Leveraging User Flexibility in Vehicle-to-Building Charging under Uncertainty
by: Sen, Rishav, et al.
Published: (2026)

Scaling Patterns in Adversarial Alignment: Evidence from Multi-LLM Jailbreak Experiments
by: Nathanson, Samuel, et al.
Published: (2025)

Autono: A ReAct-Based Highly Robust Autonomous Agent Framework
by: Wu, Zihao
Published: (2025)

When Gradients Collide: Failure Modes of Multi-Objective Prompt Optimization for LLM Judges
by: Darshan, Parth, et al.
Published: (2026)

Pioneer Agent: Continual Improvement of Small Language Models in Production
by: Atreja, Dhruv, et al.
Published: (2026)

Agent Skills for Large Language Models: Architecture, Acquisition, Security, and the Path Forward
by: Xu, Renjun, et al.
Published: (2026)

Factorized Deep Q-Network for Cooperative Multi-Agent Reinforcement Learning in Victim Tagging
by: Cardei, Maria Ana, et al.
Published: (2025)

BudgetMLAgent: A Cost-Effective LLM Multi-Agent system for Automating Machine Learning Tasks
by: Gandhi, Shubham, et al.
Published: (2024)

Comprehensive Taxonomies of Nature- and Bio-inspired Optimization: Inspiration versus Algorithmic Behavior, Critical Analysis and Recommendations (from 2020 to 2024)
by: Molina, Daniel, et al.
Published: (2020)

Reinforcement Learning control strategies for Electric Vehicles and Renewable energy sources Virtual Power Plants
by: Maldonato, Francesco, et al.
Published: (2024)

Sketch Decompositions for Classical Planning via Deep Reinforcement Learning
by: Aichmüller, Michael, et al.
Published: (2024)

Learning to Select Goals in Automated Planning with Deep-Q Learning
by: Núñez-Molina, Carlos, et al.
Published: (2024)

Risk-aware Integrated Task and Motion Planning for Versatile Snake Robots under Localization Failures
by: Jasour, Ashkan, et al.
Published: (2025)

FMT$^{x}$: An Efficient and Asymptotically Optimal Extension of the Fast Marching Tree for Dynamic Replanning
by: Nia, Soheil Espahbodini
Published: (2025)

TrafficRAG: A Multimodal RAG Framework for Traffic Accident Liability Determination
by: Li, Xu, et al.
Published: (2026)

VIGIL: A Reflective Runtime for Self-Healing Agents
by: Cruz, Christopher
Published: (2025)

Relevance Score: A Landmark-Like Heuristic for Planning
by: Kim, Oliver, et al.
Published: (2024)

How To Discover Short, Shorter, and the Shortest Proofs of Unsatisfiability: A Branch-and-Bound Approach for Resolution Proof Length Minimization
by: Sidorov, Konstantin, et al.
Published: (2024)

A Dual Perspective of Reinforcement Learning for Imposing Policy Constraints
by: De Cooman, Bram, et al.
Published: (2024)