Saved in:
| Main Authors: | Brandner, Dean, Lucia, Sergio |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2405.17983 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Quasi-Newton Compatible Actor-Critic for Deterministic Policies
by: Kordabad, Arash Bahari, et al.
Published: (2025)
by: Kordabad, Arash Bahari, et al.
Published: (2025)
Optimizing Operation Recipes with Reinforcement Learning for Safe and Interpretable Control of Chemical Processes
by: Brandner, Dean, et al.
Published: (2025)
by: Brandner, Dean, et al.
Published: (2025)
Computationally efficient Gauss-Newton reinforcement learning for model predictive control
by: Brandner, Dean, et al.
Published: (2025)
by: Brandner, Dean, et al.
Published: (2025)
From Optimization to Control: Quasi Policy Iteration
by: Kolarijani, Mohammad Amin Sharifi, et al.
Published: (2023)
by: Kolarijani, Mohammad Amin Sharifi, et al.
Published: (2023)
Optimization of the Model Predictive Control Meta-Parameters Through Reinforcement Learning
by: Bøhn, Eivind, et al.
Published: (2021)
by: Bøhn, Eivind, et al.
Published: (2021)
Dual Control of Linear Systems from Bilinear Observations with Belief Space Model Predictive Control
by: Cao, Daniel, et al.
Published: (2026)
by: Cao, Daniel, et al.
Published: (2026)
Comparison of Model Predictive Control and Proximal Policy Optimization for a 1-DOF Helicopter System
by: Schäfer, Georg, et al.
Published: (2024)
by: Schäfer, Georg, et al.
Published: (2024)
Beyond Fixed Morphologies: Learning Graph Policies with Trust Region Compensation in Variable Action Spaces
by: Gallien, Thomas
Published: (2025)
by: Gallien, Thomas
Published: (2025)
Learning Model Predictive Control Parameters via Bayesian Optimization for Battery Fast Charging
by: Hirt, Sebastian, et al.
Published: (2024)
by: Hirt, Sebastian, et al.
Published: (2024)
Optimization Solution Functions as Deterministic Policies for Offline Reinforcement Learning
by: Khattar, Vanshaj, et al.
Published: (2024)
by: Khattar, Vanshaj, et al.
Published: (2024)
Quasi-Periodic Gaussian Process Predictive Iterative Learning Control
by: Nigam, Unnati, et al.
Published: (2026)
by: Nigam, Unnati, et al.
Published: (2026)
Predictive Lagrangian Optimization for Constrained Reinforcement Learning
by: Zhang, Tianqi, et al.
Published: (2025)
by: Zhang, Tianqi, et al.
Published: (2025)
Safety Optimized Reinforcement Learning via Multi-Objective Policy Optimization
by: Honari, Homayoun, et al.
Published: (2024)
by: Honari, Homayoun, et al.
Published: (2024)
End-to-End Reinforcement Learning of Koopman Models for Economic Nonlinear Model Predictive Control
by: Mayfrank, Daniel, et al.
Published: (2023)
by: Mayfrank, Daniel, et al.
Published: (2023)
Comparative Field Deployment of Reinforcement Learning and Model Predictive Control for Residential HVAC
by: Mulayim, Ozan Baris, et al.
Published: (2025)
by: Mulayim, Ozan Baris, et al.
Published: (2025)
Stable Inverse Reinforcement Learning: Policies from Control Lyapunov Landscapes
by: Tesfazgi, Samuel, et al.
Published: (2024)
by: Tesfazgi, Samuel, et al.
Published: (2024)
Offline Reinforcement Learning via Inverse Optimization
by: Dimanidis, Ioannis, et al.
Published: (2025)
by: Dimanidis, Ioannis, et al.
Published: (2025)
Embedding Safety into RL: A New Take on Trust Region Methods
by: Milosevic, Nikola, et al.
Published: (2024)
by: Milosevic, Nikola, et al.
Published: (2024)
Random Features Approximation for Control-Affine Systems
by: Kazemian, Kimia, et al.
Published: (2024)
by: Kazemian, Kimia, et al.
Published: (2024)
Offline Hierarchical Reinforcement Learning via Inverse Optimization
by: Schmidt, Carolin, et al.
Published: (2024)
by: Schmidt, Carolin, et al.
Published: (2024)
Large-scale Regional Traffic Signal Control Based on Single-Agent Reinforcement Learning
by: Li, Qiang, et al.
Published: (2025)
by: Li, Qiang, et al.
Published: (2025)
When to Trust Your Data: Enhancing Dyna-Style Model-Based Reinforcement Learning With Data Filter
by: Li, Yansong, et al.
Published: (2024)
by: Li, Yansong, et al.
Published: (2024)
Improved uncertainty quantification for neural networks with Bayesian last layer
by: Fiedler, Felix, et al.
Published: (2023)
by: Fiedler, Felix, et al.
Published: (2023)
FORESEE: Prediction with Expansion-Compression Unscented Transform for Online Policy Optimization
by: Parwana, Hardik, et al.
Published: (2022)
by: Parwana, Hardik, et al.
Published: (2022)
Integrating Reinforcement Learning and Model Predictive Control with Applications to Microgrids
by: da Silva, Caio Fabio Oliveira, et al.
Published: (2024)
by: da Silva, Caio Fabio Oliveira, et al.
Published: (2024)
Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification
by: Reiter, Rudolf, et al.
Published: (2025)
by: Reiter, Rudolf, et al.
Published: (2025)
Safe Learning-Based Optimization of Model Predictive Control: Application to Battery Fast-Charging
by: Hirt, Sebastian, et al.
Published: (2024)
by: Hirt, Sebastian, et al.
Published: (2024)
Diffusion-assisted Model Predictive Control Optimization for Power System Real-Time Operation
by: Xu, Linna, et al.
Published: (2025)
by: Xu, Linna, et al.
Published: (2025)
DeepForge: Leveraging AI for Microstructural Control in Metal Forming via Model Predictive Control
by: Petrik, Jan, et al.
Published: (2024)
by: Petrik, Jan, et al.
Published: (2024)
Multi-Modal Conformal Prediction Regions with Simple Structures by Optimizing Convex Shape Templates
by: Tumu, Renukanandan, et al.
Published: (2023)
by: Tumu, Renukanandan, et al.
Published: (2023)
Sparse-to-Field Reconstruction via Stochastic Neural Dynamic Mode Decomposition
by: Kim, Yujin, et al.
Published: (2025)
by: Kim, Yujin, et al.
Published: (2025)
Differentiable Model Predictive Control on the GPU
by: Adabag, Emre, et al.
Published: (2025)
by: Adabag, Emre, et al.
Published: (2025)
Superior Computer Chess with Model Predictive Control, Reinforcement Learning, and Rollout
by: Gundawar, Atharva, et al.
Published: (2024)
by: Gundawar, Atharva, et al.
Published: (2024)
Newton's Lantern: A Reinforcement Learning Framework for Finetuning AC Power Flow Warm Start Models
by: Bose, Shourya, et al.
Published: (2026)
by: Bose, Shourya, et al.
Published: (2026)
Guaranteeing Control Requirements via Reward Shaping in Reinforcement Learning
by: De Lellis, Francesco, et al.
Published: (2023)
by: De Lellis, Francesco, et al.
Published: (2023)
Feasible Policy Iteration for Safe Reinforcement Learning
by: Yang, Yujie, et al.
Published: (2023)
by: Yang, Yujie, et al.
Published: (2023)
A Riemannian Optimization Perspective of the Gauss-Newton Method for Feedforward Neural Networks
by: Cayci, Semih
Published: (2024)
by: Cayci, Semih
Published: (2024)
Bisimulation metric for Model Predictive Control
by: Shimizu, Yutaka, et al.
Published: (2024)
by: Shimizu, Yutaka, et al.
Published: (2024)
CORL: Reinforcement Learning of MILP Policies Solved via Branch and Bound
by: Anand, Akhil S, et al.
Published: (2025)
by: Anand, Akhil S, et al.
Published: (2025)
Scalable Multi-modal Model Predictive Control via Duality-based Interaction Predictions
by: Kim, Hansung, et al.
Published: (2024)
by: Kim, Hansung, et al.
Published: (2024)
Similar Items
-
Quasi-Newton Compatible Actor-Critic for Deterministic Policies
by: Kordabad, Arash Bahari, et al.
Published: (2025) -
Optimizing Operation Recipes with Reinforcement Learning for Safe and Interpretable Control of Chemical Processes
by: Brandner, Dean, et al.
Published: (2025) -
Computationally efficient Gauss-Newton reinforcement learning for model predictive control
by: Brandner, Dean, et al.
Published: (2025) -
From Optimization to Control: Quasi Policy Iteration
by: Kolarijani, Mohammad Amin Sharifi, et al.
Published: (2023) -
Optimization of the Model Predictive Control Meta-Parameters Through Reinforcement Learning
by: Bøhn, Eivind, et al.
Published: (2021)