Cover Image

MPCritic: A plug-and-play MPC architecture for reinforcement learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lawrence, Nathan P., Banker, Thomas, Mesbah, Ali
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Systems and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Soft MPCritic: Amortized Model Predictive Value Iteration
by: Banker, Thomas, et al.
Published: (2026)

Local-Global Learning of Interpretable Control Policies: The Interface between MPC and Reinforcement Learning
by: Banker, Thomas, et al.
Published: (2025)

Model-free Reinforcement Learning for Model-based Control: Towards Safe, Interpretable and Sample-efficient Agents
by: Banker, Thomas, et al.
Published: (2025)

Stability-informed Bayesian Optimization for MPC Cost Function Learning
by: Hirt, Sebastian, et al.
Published: (2024)

Imitation Learning of MPC with Neural Networks: Error Guarantees and Sparsification
by: Alsmeier, Hendrik, et al.
Published: (2025)

A modular framework for stabilizing deep reinforcement learning control
by: Lawrence, Nathan P., et al.
Published: (2023)

A view on learning robust goal-conditioned value functions: Interplay between RL and MPC
by: Lawrence, Nathan P., et al.
Published: (2025)

Stabilizing reinforcement learning control: A modular framework for optimizing over all stable behavior
by: Lawrence, Nathan P., et al.
Published: (2023)

Lyapunov Neural ODE State-Feedback Control Policies
by: Ip, Joshua Hang Sai, et al.
Published: (2024)

Exploiting inter-agent coupling information for efficient reinforcement learning of cooperative LQR
by: Syed, Shahbaz P Qadri, et al.
Published: (2025)

Data-assimilated model-informed reinforcement learning
by: Ozan, Defne E., et al.
Published: (2025)

Falsification-driven reinforcement learning for maritime motion planning
by: Müller, Marlon, et al.
Published: (2025)

Scalable spectral representations for multi-agent reinforcement learning in network MDPs
by: Ren, Zhaolin, et al.
Published: (2024)

A dual mode adaptive basal-bolus advisor based on reinforcement learning
by: Sun, Qingnan, et al.
Published: (2019)

Machine learning for industrial sensing and control: A survey and practical perspective
by: Lawrence, Nathan P., et al.
Published: (2024)

Computationally efficient Gauss-Newton reinforcement learning for model predictive control
by: Brandner, Dean, et al.
Published: (2025)

A robust and adaptive MPC formulation for Gaussian process models
by: Dubied, Mathieu, et al.
Published: (2025)

Guided Safe Shooting: model based reinforcement learning with safety constraints
by: Paolo, Giuseppe, et al.
Published: (2022)

Interpretable reinforcement learning for heat pump control through asymmetric differentiable decision trees
by: Van Puyvelde, Toon, et al.
Published: (2025)

Automatic nonlinear MPC approximation with closed-loop guarantees
by: Tokmak, Abdullah, et al.
Published: (2023)

On Building Myopic MPC Policies using Supervised Learning
by: Orrico, Christopher A., et al.
Published: (2024)

Accounts of using the Tustin-Net architecture on a rotary inverted pendulum
by: van Esch, Stijn, et al.
Published: (2024)

Enhanced Transformer architecture for in-context learning of dynamical systems
by: Rufolo, Matteo, et al.
Published: (2024)

Beyond expected value: geometric mean optimization for long-term policy performance in reinforcement learning
by: Sheng, Xinyi, et al.
Published: (2025)

Distill2Explain: Differentiable decision trees for explainable reinforcement learning in energy application controllers
by: Gokhale, Gargya, et al.
Published: (2024)

Data-driven architecture to encode information in the kinematics of robots and artificial avatars
by: De Lellis, Francesco, et al.
Published: (2024)

Independent policy gradient-based reinforcement learning for economic and reliable energy management of multi-microgrid systems
by: Hu, Junkai, et al.
Published: (2025)

Efficient Data-Driven MPC for Demand Response of Commercial Buildings
by: Paré, Marie-Christine, et al.
Published: (2024)

Load constrained wind farm flow control through multi-objective multi-agent reinforcement learning
by: Åstrand, Teodor, et al.
Published: (2026)

Direct transfer of optimized controllers to similar systems using dimensionless MPC
by: Hromatko, Josip Kir, et al.
Published: (2025)

Contingency-constrained economic dispatch with safe reinforcement learning
by: Eichelbeck, Michael, et al.
Published: (2022)

Hierarchical RL-MPC Control for Dynamic Wake Steering in Wind Farms
by: Nilsen, Marcus Binder, et al.
Published: (2026)

Autonomous vehicle decision and control through reinforcement learning with traffic flow randomization
by: Lin, Yuan, et al.
Published: (2024)

Parameter-Adaptive Approximate MPC: Tuning Neural-Network Controllers without Retraining
by: Hose, Henrik, et al.
Published: (2024)

Recommender systems and reinforcement learning for human-building interaction and context-aware support: A text mining-driven review of scientific literature
by: Zhang, Wenhao, et al.
Published: (2024)

An IoT Framework for Building Energy Optimization Using Machine Learning-based MPC
by: Morteza, Aryan, et al.
Published: (2024)

Recursively Feasible Shrinking-Horizon MPC in Dynamic Environments with Conformal Prediction Guarantees
by: Stamouli, Charis, et al.
Published: (2024)

Multi-agent deep reinforcement learning with centralized training and decentralized execution for transportation infrastructure management
by: Saifullah, M., et al.
Published: (2024)

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

Taming "data-hungry" reinforcement learning? Stability in continuous state-action spaces
by: Duan, Yaqi, et al.
Published: (2024)