Cover Image

Hierarchical Reinforcement Learning with Low-Level MPC for Multi-Agent Control

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Studt, Max, Schildbach, Georg
Format:	Preprint
Published:	2025
Subjects:	Systems and Control Artificial Intelligence Robotics Optimization and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Decentralized Contingency MPC based on Safe Sets for Nonlinear Multi-agent Collision Avoidance
by: Studt, Max, et al.
Published: (2026)

Contingency Model-based Control (CMC) for Communicationless Cooperative Collision Avoidance in Robot Swarms
by: Schildbach, Georg
Published: (2025)

Safe Large-Scale Robust Nonlinear MPC in Milliseconds via Reachability-Constrained System Level Synthesis on the GPU
by: Fang, Jeffrey, et al.
Published: (2026)

Robust MPC for Large-scale Linear Systems
by: Schildbach, Georg
Published: (2025)

MPC-Inspired Reinforcement Learning for Verifiable Model-Free Control
by: Lu, Yiwen, et al.
Published: (2023)

Performance-Aware Self-Configurable Multi-Agent Networks: A Distributed Submodular Approach for Simultaneous Coordination and Network Design
by: Xu, Zirui, et al.
Published: (2024)

A Tricycle Model to Accurately Control an Autonomous Racecar with Locked Differential
by: Raji, Ayoub, et al.
Published: (2023)

DASA: Delay-Adaptive Multi-Agent Stochastic Approximation
by: Fabbro, Nicolò Dal, et al.
Published: (2024)

Model Predictive Control of Hybrid Dynamical Systems
by: Sanfelice, Ricardo G., et al.
Published: (2026)

TinyMPC: Model-Predictive Control on Resource-Constrained Microcontrollers
by: Alavilli, Anoushka, et al.
Published: (2023)

Resource-Aware Distributed Submodular Maximization: A Paradigm for Multi-Robot Decision-Making
by: Xu, Zirui, et al.
Published: (2022)

Parallel Differentiable Reachability for Learning and Planning with Certified Neural Dynamics and Controllers
by: Shen, Keyi, et al.
Published: (2026)

AutoMPC: A Code Generator for MPC-based Automated Driving
by: Schildbach, Georg, et al.
Published: (2025)

Aero-Promptness: Drag-Aware Aerodynamic Manipulability for Propeller-driven Vehicles
by: Franchi, Antonio
Published: (2026)

Who Plays First? Optimizing the Order of Play in Stackelberg Games with Many Robots
by: Hu, Haimin, et al.
Published: (2024)

Blending Data-Driven Priors in Dynamic Games
by: Lidard, Justin, et al.
Published: (2024)

Code Generation and Conic Constraints for Model-Predictive Control on Microcontrollers with Conic-TinyMPC
by: Mahajan, Ishaan, et al.
Published: (2024)

Intersection of Reinforcement Learning and Bayesian Optimization for Intelligent Control of Industrial Processes: A Safe MPC-based DPG using Multi-Objective BO
by: Esfahani, Hossein Nejatbakhsh, et al.
Published: (2025)

Maximal Controlled Invariant-MPC: Enhancing Feasibility and Reducing Conservatism through Terminal CBF Constraint in Safety-Critical Control
by: Dokania, Tanmay, et al.
Published: (2026)

Agent-Based Decentralized Energy Management of EV Charging Station with Solar Photovoltaics via Multi-Agent Reinforcement Learning
by: Fan, Jiarong, et al.
Published: (2025)

Perfecting Periodic Trajectory Tracking: Model Predictive Control with a Periodic Observer ($Π$-MPC)
by: Pabon, Luis, et al.
Published: (2024)

Distributed Non-Uniform Scaling Control of Multi-Agent Formation with Dynamic Agent Joining
by: He, Tao, et al.
Published: (2026)

Guaranteed Robust Nonlinear MPC via Disturbance Feedback
by: Leeman, Antoine P., et al.
Published: (2025)

Neural-Rendezvous: Provably Robust Guidance and Control to Encounter Interstellar Objects
by: Tsukamoto, Hiroyasu, et al.
Published: (2022)

Solving Multi-Agent Safe Optimal Control with Distributed Epigraph Form MARL
by: Zhang, Songyuan, et al.
Published: (2025)

Lyapunov-stable Neural Control for State and Output Feedback: A Novel Formulation
by: Yang, Lujie, et al.
Published: (2024)

Multi-CALF: A Policy Combination Approach with Statistical Guarantees
by: Malaniya, Georgiy, et al.
Published: (2025)

Adaptive Smooth Tchebycheff Attention for Multi-Objective Policy Optimization
by: Murillo-Gonzalez, Alejandro, et al.
Published: (2026)

Safe Decentralized Operation of EV Virtual Power Plant with Limited Network Visibility via Multi-Agent Reinforcement Learning
by: Huang, Chenghao, et al.
Published: (2026)

Scalable Data-Driven Reachability Analysis and Control via Koopman Operators with Conformal Coverage Guarantees
by: Nath, Devesh, et al.
Published: (2026)

An MPC framework for efficient navigation of mobile robots in cluttered environments
by: Köhler, Johannes, et al.
Published: (2025)

Design and Realization of a Benchmarking Testbed for Evaluating Autonomous Platooning Algorithms
by: Shaham, Michael, et al.
Published: (2024)

Communication- and Computation-Efficient Distributed Submodular Optimization in Robot Mesh Networks
by: Xu, Zirui, et al.
Published: (2024)

Active Constraint Learning in High Dimensions from Demonstrations
by: Qiu, Zheng, et al.
Published: (2025)

Distributed Predictive Control Barrier Functions: Towards Scalable Safety Certification in Modular Multi-Agent Systems
by: Ohnemus, Jonas, et al.
Published: (2026)

Analysis of Functional Insufficiencies and Triggering Conditions to Improve the SOTIF of an MPC-based Trajectory Planner
by: Conrad, Mirko, et al.
Published: (2024)

Hierarchical Deep Reinforcement Learning Framework for Multi-Year Asset Management Under Budget Constraints
by: Fard, Amir, et al.
Published: (2025)

Compatibility of Multiple Control Barrier Functions for Constrained Nonlinear Systems
by: Cohen, Max H., et al.
Published: (2025)

Model Predictive Control and Reinforcement Learning: A Unified Framework Based on Dynamic Programming
by: Bertsekas, Dimitri P.
Published: (2024)

Input-to-State Safe Backstepping: Robust Safety-Critical Control with Unmatched Uncertainties
by: Cohen, Max H., et al.
Published: (2026)