Copertina

On Architectures for Combining Reinforcement Learning and Model Predictive Control with Runtime Improvements

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Jia, Xiaolong, Bajaj, Nikhil
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Systems and Control
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Reinforcement Learning-based Model Predictive Control for Greenhouse Climate Control
di: Mallick, Samuel, et al.
Pubblicazione: (2024)

Reinforcement Learning Compensated Model Predictive Control for Off-road Driving on Unknown Deformable Terrain
di: Gupta, Prakhar, et al.
Pubblicazione: (2024)

Leveraging Offline Data from Similar Systems for Online Linear Quadratic Control
di: Bajaj, Shivam, et al.
Pubblicazione: (2025)

Safe model-based Reinforcement Learning via Model Predictive Control and Control Barrier Functions
di: Dzhumageldyev, Kerim, et al.
Pubblicazione: (2025)

A Control Barrier Function-Constrained Model Predictive Control Framework for Safe Reinforcement Learning
di: Kaypak, Ali Umut, et al.
Pubblicazione: (2026)

Reinforcement Learning Ship Autopilot: Sample efficient and Model Predictive Control-based Approach
di: Cui, Yunduan, et al.
Pubblicazione: (2019)

Model Predictive Control-Guided Reinforcement Learning for Implicit Balancing
di: Madahi, Seyed Soroush Karimi, et al.
Pubblicazione: (2025)

Reinforcement Learning with Model Predictive Control for Highway Ramp Metering
di: Airaldi, Filippo, et al.
Pubblicazione: (2023)

Efficient Replay Memory Architectures in Multi-Agent Reinforcement Learning for Traffic Congestion Control
di: Chodhary, Mukul, et al.
Pubblicazione: (2024)

Emergency-Brake Simplex: Toward A Verifiably Safe Control-CPS Architecture for Abrupt Runtime Reachability Constraint Changes
di: Shen, Henghua, et al.
Pubblicazione: (2025)

MPC4RL -- A Software Package for Reinforcement Learning based on Model Predictive Control
di: Reinhardt, Dirk, et al.
Pubblicazione: (2025)

Cost-Matching Model Predictive Control for Efficient Reinforcement Learning in Humanoid Locomotion
di: Cai, Wenqi, et al.
Pubblicazione: (2026)

Architecture Dependent Temporal Observability Under Deployment Interference in Edge Inference Systems
di: Swami, Akul, et al.
Pubblicazione: (2026)

A Framework for Predicting Runtime Savings from Discrete-Event Simulation Model Simplification Operations
di: Shoaib, Mohd, et al.
Pubblicazione: (2025)

A Control Theoretic Framework for Adaptive Gradient Optimizers in Machine Learning
di: Chakrabarti, Kushal, et al.
Pubblicazione: (2022)

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

Optimal Control of Renewable Energy Communities subject to Network Peak Fees with Model Predictive Control and Reinforcement Learning Algorithms
di: Aittahar, Samy, et al.
Pubblicazione: (2024)

Polygonal Obstacle Avoidance Combining Model Predictive Control and Fuzzy Logic
di: Schröder, Michael, et al.
Pubblicazione: (2025)

Online Model Order Reduction of Linear Systems via $(γ,δ)$-Similarity
di: Bajaj, Shivam, et al.
Pubblicazione: (2025)

Kernel-Based Safe Exploration in Deep Reinforcement Learning
di: Majumdar, Rupak, et al.
Pubblicazione: (2026)

End-to-End Reinforcement Learning of Koopman Models for Economic Nonlinear Model Predictive Control
di: Mayfrank, Daniel, et al.
Pubblicazione: (2023)

Field Free Novel Architecture for Spintronic Flash Analog to Digital Converter
di: Francis, Abin, et al.
Pubblicazione: (2026)

Control Synthesis with Reinforcement Learning: A Modeling Perspective
di: Xu, Nikki, et al.
Pubblicazione: (2025)

Comparative Field Deployment of Reinforcement Learning and Model Predictive Control for Residential HVAC
di: Mulayim, Ozan Baris, et al.
Pubblicazione: (2025)

Learning-based Rigid Tube Model Predictive Control
di: Gao, Yulong, et al.
Pubblicazione: (2023)

Geomagnetic and Inertial Combined Navigation Approach Based on Flexible Correction-Model Predictive Control Algorithm
di: Zhang, Xiaohui, et al.
Pubblicazione: (2024)

Benchmarking Model Predictive Control and Reinforcement Learning Based Control for Legged Robot Locomotion in MuJoCo Simulation
di: Akki, Shivayogi, et al.
Pubblicazione: (2025)

Optimization of the Model Predictive Control Meta-Parameters Through Reinforcement Learning
di: Bøhn, Eivind, et al.
Pubblicazione: (2021)

Combined Learning of Linear Parameter-Varying Models and Robust Control Invariant Sets
di: Mulagaleti, Sampath Kumar, et al.
Pubblicazione: (2024)

Multi-Objective Learning Model Predictive Control
di: Nair, Siddharth H., et al.
Pubblicazione: (2024)

Reinforcement Learning Based Prediction of PID Controller Gains for Quadrotor UAVs
di: Sönmez, Serhat, et al.
Pubblicazione: (2025)

Combining Belief Function Theory and Stochastic Model Predictive Control for Multi-Modal Uncertainty in Autonomous Driving
di: Benciolini, Tommaso, et al.
Pubblicazione: (2024)

Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification
di: Reiter, Rudolf, et al.
Pubblicazione: (2025)

Integrating Reinforcement Learning and Model Predictive Control with Applications to Microgrids
di: da Silva, Caio Fabio Oliveira, et al.
Pubblicazione: (2024)

AC4MPC: Actor-Critic Reinforcement Learning for Nonlinear Model Predictive Control
di: Reiter, Rudolf, et al.
Pubblicazione: (2024)

PHAST: Port-Hamiltonian Architecture for Structured Temporal Dynamics Forecasting
di: Bhardwaj, Shubham, et al.
Pubblicazione: (2026)

Constrained Reinforcement Learning for Predictive Control in Real-Time Stochastic Dynamic Optimal Power Flow
di: Wu, Tong, et al.
Pubblicazione: (2023)

Runtime Safety and Reach-avoid Prediction of Stochastic Systems via Observation-aware Barrier Functions
di: Feng, Shenghua, et al.
Pubblicazione: (2025)

Model-Based Reinforcement Learning Control of Reaction-Diffusion Problems
di: Schenk, Christina, et al.
Pubblicazione: (2024)

Active Learning-based Model Predictive Coverage Control
di: Rickenbach, Rahel, et al.
Pubblicazione: (2023)