Cover Image

Inexact Policy Iteration Methods for Large-Scale Markov Decision Processes

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Gargiani, Matilde, Sieber, Robin, Balta, Efe, Liao-McPherson, Dominic, Lygeros, John
Format:	Preprint
Published:	2024
Subjects:	Optimization and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Semismooth Newton Methods for Risk-Averse Markov Decision Processes
by: Gargiani, Matilde, et al.
Published: (2025)

Policy Optimization with Differentiable MPC: Convergence Analysis under Uncertainty
by: Zuliani, Riccardo, et al.
Published: (2026)

Policy Optimization for Unknown Systems using Differentiable Model Predictive Control
by: Zuliani, Riccardo, et al.
Published: (2025)

A Log-domain Interior Point Method for Convex Quadratic Games
by: Liu, Bingqi, et al.
Published: (2024)

Closed-loop Performance Optimization of Model Predictive Control with Robustness Guarantees
by: Zuliani, Riccardo, et al.
Published: (2024)

Differentiable-by-design Nonlinear Optimization for Model Predictive Control
by: Zuliani, Riccardo, et al.
Published: (2025)

BP-MPC: Optimizing the Closed-Loop Performance of MPC using BackPropagation
by: Zuliani, Riccardo, et al.
Published: (2023)

A Semi-smooth Newton Method for the Constrained Optimal Control of Continuous-Time Linear Systems
by: Jones, Simon J., et al.
Published: (2026)

A Unified Control-Theoretic Framework for Saddle-Point Dynamics in Constrained Optimization
by: Centorrino, Veronica, et al.
Published: (2026)

Swarm-Based Trajectory Generation and Optimization for Stress-Aligned 3D Printing
by: Guidetti, Xavier, et al.
Published: (2024)

Operator Splitting for Convex Constrained Markov Decision Processes
by: Grontas, Panagiotis D., et al.
Published: (2024)

Layer-to-Layer Melt Pool Control in Laser Powder Bed Fusion
by: Liao-McPherson, Dominic, et al.
Published: (2023)

Online Feedback Equilibrium Seeking
by: Belgioioso, Giuseppe, et al.
Published: (2022)

madupite: A High-Performance Distributed Solver for Large-Scale Markov Decision Processes
by: Gargiani, Matilde, et al.
Published: (2025)

Deep Reinforcement Learning for Flexible Job Shop Scheduling with Random Job Arrivals
by: Tang, Yu, et al.
Published: (2026)

Online Residual Learning from Offline Experts for Pedestrian Tracking
by: Vlachos, Anastasios, et al.
Published: (2024)

Predictive Linear Online Tracking for Unknown Targets
by: Tsiamis, Anastasios, et al.
Published: (2024)

Data-Driven Extrusion Force Control Tuning for 3D Printing
by: Guidetti, Xavier, et al.
Published: (2024)

Pinet: Optimizing hard-constrained neural networks with orthogonal projection layers
by: Grontas, Panagiotis D., et al.
Published: (2025)

Data-Enabled Predictive Iterative Control
by: Zhang, Kai, et al.
Published: (2024)

A Single-Loop Robust Policy Gradient Method for Robust Markov Decision Processes
by: Lin, Zhenwei, et al.
Published: (2024)

Iterative Learning Predictive Control for Constrained Uncertain Systems
by: Zuliani, Riccardo, et al.
Published: (2025)

Iterative Learning Control for Ramp Metering on Service Station On-ramps
by: Xiang, Hongxi, et al.
Published: (2024)

Optimal Non-Asymptotic Rates of Value Iteration for Average-Reward Markov Decision Processes
by: Lee, Jongmin, et al.
Published: (2025)

Absorbing Markov Decision Processes
by: Dufour, François, et al.
Published: (2023)

Inexact Augmented Lagrangian Methods for Conic Programs: Quadratic Growth and Linear Convergence
by: Liao, Feng-Yi, et al.
Published: (2024)

Approximate Linear Programming for Decentralized Policy Iteration in Cooperative Multi-agent Markov Decision Processes
by: Mandal, Lakshmi, et al.
Published: (2023)

Absorbing Markov Decision Processes: Geometric Properties and Sufficiency of Finite Mixtures of Deterministic Policies
by: Dufour, Francois, et al.
Published: (2025)

Tractable Robust Markov Decision Processes
by: Grand-Clément, Julien, et al.
Published: (2024)

Mean Field Markov Decision Processes
by: Bäuerle, Nicole
Published: (2021)

Quantum Markov Decision Processes: General Theory, Approximations, and Classes of Policies
by: Saldi, Naci, et al.
Published: (2024)

Flipping-based Policy for Chance-Constrained Markov Decision Processes
by: Shen, Xun, et al.
Published: (2024)

An Online Multiobjective Policy Gradient for Long-run Average-reward Markov Decision Process
by: Misra, Rahul, et al.
Published: (2025)

Dynamic Capital Requirements for Markov Decision Processes
by: Haskell, William B., et al.
Published: (2024)

Markov Decision Processes with Value-at-Risk Criterion
by: Xia, Li, et al.
Published: (2025)

MUSIC: Accelerated Convergence for Distributed Optimization With Inexact and Exact Methods
by: Wu, Mou, et al.
Published: (2024)

Robust Deterministic Policies for Markov Decision Processes under Budgeted Uncertainty
by: Wu, Fei, et al.
Published: (2024)

Adaptive Regularized Newton Method with Inexact Hessian
by: Shestakov, Aleksandr, et al.
Published: (2025)

Convex Approximations of Random Constrained Markov Decision Processes
by: Varagapriya, V, et al.
Published: (2025)

Markov Decision Process Design: A Framework for Integrating Strategic and Operational Decisions
by: Brown, Seth, et al.
Published: (2023)