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reinforcement learning

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代表性文献（按质量分排序，前 60 条）

• Adaptive Digital Marketing: A Systematic Review of Bio-Inspired Reinforcement Learning, Multi-Agent Systems, and Agentic AI for Intelligent Optimisation.
  2026 · AI Agent 生态 · Background: Digital marketing increasingly functions as a complex adaptive system characterised by non-stationary environments, strategic interaction, and multi-agent competition. Programmatic advertising exemplifies thi…
• A novel intelligent hybrid reinforcement learning framework for autonomous decision making in complex health cognitive systems.
  2026 · AI Agent 生态 · Existing reinforcement learning (RL) approaches struggle to balance real-time decision-making with adaptive learning in dynamic healthcare environments. We propose a brain-inspired hybrid RL framework that integrates mod…
• A unified multi-agent optimization framework for intelligent PV-integrated smart energy systems.
  2026 · AI Agent 生态 · The increasing penetration of photovoltaic (PV) generation and distributed energy resources in residential communities requires intelligent, scalable energy management strategies that go beyond conventional cost-based ap…
• Explainable multi agent reinforcement learning framework for secure and adaptive communication in UAV swarm based fanets.
  2026 · AI Agent 生态 · The increasing use of the Unmanned Aerial Vehicle (UAV) swarms in real-time and mission-critical operations requires such communication infrastructure not only to meet security and adaptation demands, but also to be tran…
• Agri-LAPP: An LLM-Based Agent Framework for Adaptive Path Planning in Precision Agriculture
  2026 · AI Agent 生态 · Precision agriculture increasingly relies on autonomous unmanned ground vehicles (UGVs) to handle complex tasks. Path planning is the key to empowering intelligent automation, directly improving efficiency and reducing e…
• An integrated energy system scheduling method considering year-round load variations based on deep reinforcement learning
  2026 · AI Agent 生态 · With the integration of renewable energy and energy storage in integrated energy systems, their operational and managerial complexity has substantially escalated. This study introduces a novel operational optimization st…
• Multi-Agent Transfer Learning Based on Evolutionary Algorithms and Dynamic Grid Structures for Industrial Applications
  2026 · AI Agent 生态 · Distributed production systems have to increasingly balance economic goals such as energy efficiency and productivity with critical technical requirements such as flexibility, real-time capability, and reliability. This …
• Multi-Agent Reinforcement Learning with Decentralized AI in Autonomous Drone Swarms
  2026 · AI Agent 生态 · The collaborative aspect of drone swarms endangers smooth functioning of services and security of national facilities. Multi-Agent Deep Learning (DL) Coordinating swarms of drones in dynamic systems are not simple tasks,…
• Geological Modeling Agent: Automated Static Model Uncertainty Assessment Using AI Agent and Geology-Aware Guidance
  2026 · AI Agent 生态 · Summary This abstract presents a fully automated geological modeling agent specialized in uncertainty modeling and optimization. The agent is guided by geological expertise, utilizing a set of predefined questions to ens…
• Multi-Agent Transfer Learning Based on Contrastive Role Relationship Representation
  2026 · AI Agent 生态 · This paper presents the Multi-agent Transfer Learning Based on Contrastive Role Relationship Representation (MCRR), focusing on the unique function of role mechanisms in cross-task knowledge transfer. The framework emplo…
• Robust Agent Compensation (RAC): Teaching AI Agents to Compensate
  2026 · AI Agent 生态 · We present Robust Agent Compensation (RAC), a log-based recovery paradigm (providing a safety net) implemented through an architectural extension that can be applied to most Agent frameworks to support reliable execution…
• Coordinated Strategies in Realistic Air Combat by Hierarchical Multi-Agent Reinforcement Learning
  2026 · AI Agent 生态 · Achieving mission objectives in a realistic simulation of aerial combat is highly challenging due to imperfect situational awareness and nonlinear flight dynamics. In this work, we introduce a novel 3D multi-agent air co…
• Multi-Agent AI Systems for Decentralized Decision-Making
  2026 · AI Agent 生态 · The growing complexity of decision-making in dynamic, decentralized settings requires more efficient, scalable multi-agent systems. Traditional methods of a centralized decision-making approach have proven to be rather s…
• Agent Mode: A Minimalist, Machine-Readable Web Protocol for Enhancing AI Agent Efficiency and Search Engine Optimization
  2026 · AI Agent 生态 · In today’s evolving world, AI agents have stepped into the world of the web, built for human eyes, made up of flashy dynamic content, complex Document Object Models (DOMs), lucrative ads, and security mechanisms like cap…
• Optimal management of unsteady water flow in large main canals using artificial intelligence: a case study of the Amu-Zang main canal
  2026 · AI Agent 生态 · Effective management of unsteady flow in large irrigation main canals is a fundamental challenge in arid-zone water resources engineering. The Amu-Zang Main Canal (AZMC), a 312 km gravity-fed system in southern Uzbekista…
• Optimal management of unsteady water flow in large main canals using artificial intelligence: a case study of the Amu-Zang main canal
  2026 · AI Agent 生态 · Effective management of unsteady flow in large irrigation main canals is a fundamental challenge in arid-zone water resources engineering. The Amu-Zang Main Canal (AZMC), a 312 km gravity-fed system in southern Uzbekista…
• AI-Driven Hyperpersonalization in Tourism: A Conversational Agent Using Reinforcement Learning for Dynamic Itinerary Recommendations
  2026 · AI Agent 生态 · Abstract The tourism industry increasingly requires adaptive recommendation systems capable of understanding traveler preferences and learning from user behavior. Traditional conversational agents and retrieval-based sys…
• Peer-to-peer electricity platforms with endogenous prices: A Multi-Agent Neural Network Control approach
  2026 · AI Agent 生态 · The transition towards decentralised energy systems creates a need for local electricity platforms on which prosumers trade energy at endogenously determined prices. We develop a differentiable multi-agent control framew…
• Distributed Multi-Task Assignment for Multi-agent system and Distributed Transportation Control
  2026 · AI Agent 生态 · We conduct research on a distributed task assignment algorithm, which is one of the distributed decision-making methods in multi-agent system. We consider a mission in which multi-agents transport multiple packages. In p…
• Adaptive Multi-agent System for Dynamic Preference Learning: Application to Mobility
  2026 · AI Agent 生态 · Mobility-as-a-Service (MaaS) is a promising approach to promote sustainable modes of transport and increase the attractiveness of public and shared multimodal mobility services. The long-term objective of MaaS is to chan…
• COMPASS: Cooperative Multi-Agent Persistent Monitoring Using Spatio-Temporal Attention Network
  2026 · AI Agent 生态 · Persistent monitoring of dynamic targets is essential in real-world applications such as disaster response, environmental sensing, and wildlife conservation, where mobile agents must continuously gather information under…
• Scalable Physics-Informed Multi-Agent Reinforcement Learning for Building Energy System Control
  2026 · AI Agent 生态 · Optimizing multi-zone building HVAC systems for energy efficiency while maintaining thermal comfort is a critical challenge, as buildings account for 40% of total energy consumption in the United States. Although multi-a…
• Improving scalability of multi-agent deep reinforcement learning with suboptimal human knowledge
  2026 · AI Agent 生态 · Abstract Due to its exceptional learning ability, multi-agent deep reinforcement learning (MADRL) has garnered widespread research interest. However, since the learning is data-driven and involves sampling from millions …
• $$\varepsilon $$-retraining reinforcement learning algorithms
  2026 · AI Agent 生态 · Abstract We present $$\varepsilon $$ , a general exploration strategy for reinforcement learning (RL) that encourages adherence to behavioral preferences while preserving the convergence guarantees of the underlying RL a…
• Constraint-aware multi-agent reinforcement learning with adversarial training for resilience enhancement in multi-microgrid voltage control
  2026 · AI Agent 生态 · The multi-microgrid system faces severe challenges in maintaining voltage stability when subjected to false data injection (FDI) attacks. This paper proposes a constraint-aware multi-agent reinforcement learning (CAMARL)…
• Optimal Scheduling of Hydrogen-Integrated Hybrid Energy Storage System: A Multi-Agent Optimal Compromise Reinforcement Learning Approach
  2026 · AI Agent 生态 · To fully account for the dynamic coupling of heterogeneous energy sources, the interactive coordination among multiple agents, and the synergistic operation mechanism of hydrogen-integrated hybrid energy storage system (…
• Cooperative Multi-Agent System Research for Driving in Mixed Traffic Environments
  2026 · AI Agent 生态 · In the realm of mixed-use urban areas, cooperative multi-agent systems are growing quickly, and robust and scalable solutions for intelligent transportation systems are also being put forth. In this research, we develop …
• Reliability-oriented Telecommunication Network Routing Using Multi-agent Q-Learning
  2026 · AI Agent 生态 · The uninterrupted operation of telecommunication networks is critical to modern society, yet network components are prone to failures that can significantly disrupt services. Traditional routing protocols often respond r…
• Multi-level graph partition via hierarchical learning for large-scale vehicle routing problems
  2026 · AI Agent 生态 · Abstract Vehicle Routing Problems (VRPs) involve multi-agent route optimization, with the objective of targeting optimal routes for a fleet of vehicles to serve a set of customers. Existing neural solvers based on the di…
• A Multi-Agent System for Automated Lifetime Prediction of Power Electronics
  2026 · AI Agent 生态 · Accurate lifetime prediction of power semiconductor devices is critical for the reliability of power electronic systems. Power cycling tests generate only a small number of failure samples due to their high cost and long…
• Safety Constraint Multi-Agent Deep Reinforcement Learning for Hybrid Air-Liquid Cooling System in Data Centers
  2026 · AI Agent 生态 · Hybrid air-liquid cooling system are increasingly deployed in high-density data centers to manage the thermal design of GPU and CPU-intensive workloads. Controlling these systems is challenging: the cooling towers, pumps…
• Heterogeneous Multi-Agent Proximal Policy Optimization for Power Distribution System Restoration
  2026 · AI Agent 生态 · Restoring power distribution systems (PDSs) after large-scale outages requires sequential switching actions that reconfigure feeder topology and coordinate distributed energy resources (DERs) under nonlinear constraints,…
• Generalized policy improvement for efficient and robust multi-objective reinforcement learning
  2026 · AI Agent 生态 · Multi-objective reinforcement learning (MORL) algorithms tackle sequential decision problems where agents may have different preferences over (possibly conflicting) reward functions. These algorithms often learn a set of…
• Autonomous Resource Orchestration Using Multi-Agent Proximal Policy Optimization in 6G Edge–Fog Environments
  2026 · AI Agent 生态 · The 6G networks introduce challenging requirements to edge–fog resource orchestration because they will support thousands of devices in each square kilometer and operate with very short latency times. The traditional cen…
• Multi-Agent Reinforcement Learning for Adaptive Resource Orchestration in Cloud-Native Clusters
  2025 · AI Agent 生态 · This paper addresses the challenges of high resource dynamism and scheduling complexity in cloud-native database systems. It proposes an adaptive resource orchestration method based on multi-agent reinforcement learning.…
• (Invited Paper) AnaFlow: Agentic LLM-based Workflow for Reasoning-Driven Explainable and Sample-Efficient Analog Circuit Sizing
  2025 · AI Agent 生态 · Analog/mixed-signal circuits are key for interfacing electronics with the physical world. Their design, however, remains a largely handcrafted process, resulting in long and error-prone design cycles. While the recent ri…
• Multi‐Agent Reinforcement Learning for Cyber Defence Transferability and Scalability
  2025 · AI Agent 生态 · ABSTRACT Reinforcement learning (RL) has shown to be effective for simple automated cyber defence (ACD) type tasks. However, there are limitations to these approaches that prevent them from being deployed onto real‐world…
• Deep Q-Network-Based Agent Learning for Employee Performance Prediction in Industrial Environments
  2025 · AI Agent 生态 · Employee performance prediction is essential for workforce optimization in industrial environments, enabling organizations to enhance productivity, balance workload distribution, and improve decision-making. Traditional …
• QiMARL: Quantum-Inspired Multi-Agent Reinforcement Learning Strategy for Efficient Resource Energy Distribution in Nodal Power Stations
  2025 · AI Agent 生态 · The coupling of quantum computing with multi-agent reinforcement learning (MARL) provides an exciting direction to tackle intricate decision-making tasks in high-dimensional spaces. This work introduces a new quantum-ins…
• Agile Methodology and AI in Multi-Agent Systems: An agent for planning and executing sprints
  2025 · AI Agent 生态 · This paper proposes a Multi-Agent System (MAS) architecture integrated with the N8N platform to optimize administrative and managerial processes in agile methodologies, specifically Scrum. It addresses challenges like sp…
• Multi-Agent Collaborative Intervention System Based on Reinforcement Learning Dynamic Path Planning in Lifelong Education
  2025 · AI Agent 生态 · Dynamic path planning is a fundamental problem in lifelong education, where learners face heterogeneous resources, diverse learning paces, and evolving requirements. We propose the Multi-Agent Collaborative Intervention …
• Confidence-Based Trustscoring System for Identification of Secure Agent Platforms
  2025 · AI Agent 生态 · Autonomous mobile agent systems can accomplish multiple tasks in an asynchronous and dynamic manner in platforms where there is excessive network load, network interruption and in slow networks. However, the decisions an…
• Communication Mechanism in Multi-Agent Reinforcement Learning (MARL) for Cooling Water System Control
  2025 · AI Agent 生态 · Reducing the operating frequency of cooling water pumps and towers in a cooling water system lowers their power consumption, but leads to an increase in the return water temperature to chillers, potentially increasing ch…
• Open-ended coordination for multi-agent systems using modular open policies
  2025 · AI Agent 生态 · Abstract Significant multi-agent advances addressing the challenge of learning policies for acting in ad hoc teamwork have been made. In ad hoc teamwork, a team of agents must cooperate effectively without prior coordina…
• Federated heterogeneous multi-agent deep reinforcement learning-based attack resilience scheduling for heterogeneous multi-integrated energy system
  2025 · AI Agent 生态 · The increasing scale of heterogeneous multi-integrated energy system (MIES) exposes critical limitations in conventional scheduling methods, particularly regarding privacy preservation, coordination of heterogeneous syst…
• Adaptive Consensus Control for the Boundary-Coupled Multi-Agent System
  2025 · AI Agent 生态 · This study establishes a control framework for multi-agent systems, using ordinary differential equations (ODE) to represent agent dynamics and the heat equation to simulate thermal transfer within their environment. The…
• Adaptation Procedure in misinformation games
  2025 · AI Agent 生态 · Abstract We study interactions between agents in multi-agent systems, in which the agents are misinformed with regards to the game that they play, essentially having a subjective and incorrect understanding of the settin…
• Formation Hunting and Trajectory Optimization of Multi-AUV System Based on Adaptive Multi-Agent Reinforcement Learning
  2025 · AI Agent 生态 · In this study, we investigate the challenges of formation-based hunting and trajectory optimization for multiple autonomous underwater vehicles (AUVs) in a complex underwater environment. Traditional virtual structure al…
• Multi-agent Cooperative Encirclement Method Based on Reinforcement Learning
  2025 · AI Agent 生态 · This paper introduces a reinforcement learning-based multi-agent cooperative encirclement method to tackle target tracking and encirclement in dynamic stochastic environments. The Soft Actor-Critic (SAC) algorithm is fir…
• A Hybrid Floyd Algorithm for Multi-Agent System in Warehouse
  2025 · AI Agent 生态 · The Floyd-Warshall algorithm, traditionally used for finding all-pairs shortest paths, faces challenges in large-scale warehouse settings due to its high time complexity. This paper proposed a hybrid improved Floyd-Warsh…
• Intelligent Traffic Management System using Multi-Agent Reinforcement Learning
  2025 · AI Agent 生态 · This paper presents a decentralized multi-agent system for intelligent traffic management in urban environments, where each agent represents a traffic light controller at an intersection. The proposed system leverages a …
• Trajectory Planning of Heterogeneous Multi-Agent System Based on Soft Actor-Critic Algorithm
  2025 · AI Agent 生态 · Recently, heterogeneous multi-agent system collaboration has demonstrated significant potential for cross-domain applications. The key to the proper operation of the system lies in the ability to accurately reach the des…
• Semantic Communications for Partially Observable Multi-Agent Reinforcement Learning-Based Unmanned Aerial Vehicles Monitoring System
  2025 · AI Agent 生态 · In multi-agent reinforcement learning (MARL) environments with partial observability, agents lack access to a global state, limiting their decision-making capabilities. To address this, agents can share local observation…
• A Distributed Task Offloading Strategy Based on Multi-Agent Systems in Mobile Edge Computing
  2025 · AI Agent 生态 · With the rapid development of smart applications and mobile communication technologies, mobile edge computing (MEC) has made significant progress. However, the increase in the number of terminal devices and the growing c…
• Multi-agent reinforcement learning approach for large cooling water system control
  2025 · AI Agent 生态 · Aim and ApproachLarge cooling water system has great potential of energy saving due to improper operation control. The coupled hydraulic and thermodynamic characteristics among chillers, pumps, and cooling towers lead to…
• Multi-agent Deep Reinforcement Learning-based Method for Active Distribution Network Optimal Power Flow
  2025 · AI Agent 生态 · With the large-scale integration of renewable energy generation and distributed energy resources (DERs), modern power systems face numerous new challenges, such as the intermittency of renewable energy output and the non…
• Towards multi-agent system for learning object recommendation.
  2024 · AI Agent 生态 · The rapid increase of online educational content has made it harder for students to find specific information. E-learning recommender systems help students easily find the learning objects they require, improving the lea…
• Multi-Agent Deep Reinforcement Learning Framework for Renewable Energy-Aware Workflow Scheduling on Distributed Cloud Data Centers
  2024 · AI Agent 生态 · The ever-increasing demand for the cloud computing paradigm has resulted in the widespread deployment of multiple datacenters, the operations of which consume very high levels of energy. The carbon footprint resulting fr…
• AGILE: A Novel Reinforcement Learning Framework of LLM Agents
  2024 · AI Agent 生态 · We introduce a novel reinforcement learning framework of LLM agents named AGILE (AGent that Interacts and Learns from Environments) designed to perform complex conversational tasks with users, leveraging LLMs, memory, to…
• Multi-agent cooperative encirclement based on improved MADDPG algorithm
  2024 · AI Agent 生态 · Abstract In this paper, we propose an improved Multi-agent Deep Deterministic Policy Gradient algorithm with a Priority Experience Replay mechanism (PER-MADDPG) to address the baseline algorithm’s high-dimensional state …

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