Cover Image

Hierarchical Policy-Gradient Reinforcement Learning for Multi-Agent Shepherding Control of Non-Cohesive Targets

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Covone, Stefano, Napolitano, Italo, De Lellis, Francesco, di Bernardo, Mario
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence Multiagent Systems Systems and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Hierarchical Learning-Based Control for Multi-Agent Shepherding of Stochastic Autonomous Agents
by: Napolitano, Italo, et al.
Published: (2025)

Emergent Cooperative Strategies for Multi-Agent Shepherding via Reinforcement Learning
by: Napolitano, Italo, et al.
Published: (2024)

Decentralized Shepherding of Non-Cohesive Swarms Through Cluttered Environments via Deep Reinforcement Learning
by: Punzo, Cristiana, et al.
Published: (2025)

Optimal Transport for Time-Varying Multi-Agent Coverage Control
by: Napolitano, Italo, et al.
Published: (2026)

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

Partial Attention in Deep Reinforcement Learning for Safe Multi-Agent Control
by: Mohaya, Turki Bin, et al.
Published: (2026)

Multi-Agent Reinforcement Learning for Multi-Cell Spectrum and Power Allocation
by: Zhang, Yiming, et al.
Published: (2023)

Policy Gradient with Self-Attention for Model-Free Distributed Nonlinear Multi-Agent Games
by: Sebastián, Eduardo, et al.
Published: (2025)

Multi-Agent Reinforcement Learning for UAV-Based Chemical Plume Source Localization
by: Li, Zhirun, et al.
Published: (2026)

MARLIN: Multi-Agent Reinforcement Learning with Murmuration Intelligence and LLM Guidance for Reservoir Management
by: Fu, Heming, et al.
Published: (2025)

WFCRL: A Multi-Agent Reinforcement Learning Benchmark for Wind Farm Control
by: Monroc, Claire Bizon, et al.
Published: (2025)

Robust Cooperative Multi-Agent Reinforcement Learning:A Mean-Field Type Game Perspective
by: Zaman, Muhammad Aneeq uz, et al.
Published: (2024)

Graphon Mean-Field Control for Cooperative Multi-Agent Reinforcement Learning
by: Hu, Yuanquan, et al.
Published: (2022)

Physics-Informed Multi-Agent Reinforcement Learning for Distributed Multi-Robot Problems
by: Sebastian, Eduardo, et al.
Published: (2023)

Distributed Non-Uniform Scaling Control of Multi-Agent Formation via Matrix-Valued Constraints
by: He, Tao, et al.
Published: (2025)

Resolving Conflicting Constraints in Multi-Agent Reinforcement Learning with Layered Safety
by: Choi, Jason J., et al.
Published: (2025)

Safe Decentralized Multi-Agent Control using Black-Box Predictors, Conformal Decision Policies, and Control Barrier Functions
by: Huriot, Sacha, et al.
Published: (2024)

Integrating Transit Signal Priority into Multi-Agent Reinforcement Learning based Traffic Signal Control
by: Kwesiga, Dickness Kakitahi, et al.
Published: (2024)

Multi-Agent Reinforcement Learning-based Cooperative Autonomous Driving in Smart Intersections
by: Yu, Taoyuan, et al.
Published: (2025)

Sparse shepherding control of large-scale multi-agent systems via Reinforcement Learning
by: Catello, Luigi, et al.
Published: (2025)

The Synergy Between Optimal Transport Theory and Multi-Agent Reinforcement Learning
by: Baheri, Ali, et al.
Published: (2024)

Fully Byzantine-Resilient Distributed Multi-Agent Q-Learning
by: Lee, Haejoon, et al.
Published: (2026)

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

Second Order State Hallucinations for Adversarial Attack Mitigation in Formation Control of Multi-Agent Systems
by: Patel, Laksh, et al.
Published: (2025)

Deep Equivariant Multi-Agent Control Barrier Functions
by: Bousias, Nikolaos, et al.
Published: (2025)

Heterogeneous Multi-Agent Multi-Target Tracking using Cellular Sheaves
by: Hanks, Tyler, et al.
Published: (2025)

Structured Cooperative Multi-Agent Reinforcement Learning: a Bayesian Network Perspective
by: Syed, Shahbaz P Qadri, et al.
Published: (2025)

Cooperative Bearing-Only Target Pursuit via Multiagent Reinforcement Learning: Design and Experiment
by: Li, Jianan, et al.
Published: (2025)

Global Rewards in Multi-Agent Deep Reinforcement Learning for Autonomous Mobility on Demand Systems
by: Hoppe, Heiko, et al.
Published: (2023)

Conformal Data-driven Control of Stochastic Multi-Agent Systems under Collaborative Signal Temporal Logic Specifications
by: Vlahakis, Eleftherios E., et al.
Published: (2025)

Controller Synthesis of Collaborative Signal Temporal Logic Tasks for Multi-Agent Systems via Assume-Guarantee Contracts
by: Liu, Siyuan, et al.
Published: (2023)

Transformer-Based Scalable Multi-Agent Reinforcement Learning for Networked Systems with Long-Range Interactions
by: Sinha, Vidur, et al.
Published: (2025)

Decentralized Safe and Scalable Multi-Agent Control under Limited Actuation
by: Zinage, Vrushabh, et al.
Published: (2024)

Finite-State Decentralized Policy-Based Control With Guaranteed Ground Coverage
by: Rastgoftar, Hossein
Published: (2026)

Welfare and Cost Aggregation for Multi-Agent Control: When to Choose Which Social Cost Function, and Why?
by: Shilov, Ilia, et al.
Published: (2025)

Guaranteeing Control Requirements via Reward Shaping in Reinforcement Learning
by: De Lellis, Francesco, et al.
Published: (2023)

Modelling and Control of Spatial Behaviours in Multi-Agent Systems with Applications to Biology and Robotics
by: Giusti, Andrea
Published: (2024)

A Hierarchical Reinforcement Learning Framework for Multi-UAV Combat Using Leader-Follower Strategy
by: Pang, Jinhui, et al.
Published: (2025)

GOSPA-Driven Non-Myopic Multi-Sensor Management with Multi-Bernoulli Filtering
by: Jones, George, et al.
Published: (2025)

Alternating Direction Method of Multipliers-Based Parallel Optimization for Multi-Agent Collision-Free Model Predictive Control
by: Cheng, Zilong, et al.
Published: (2021)