Cover Image

Adversarial Reinforcement Learning: A Duality-Based Approach To Solving Optimal Control Problems

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chen, Nan, Liu, Mengzhou, Wang, Xiaoyan, Zhang, Nanyi
Format:	Preprint
Published:	2025
Subjects:	Optimization and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Research on Optimal Control Problem Based on Reinforcement Learning under Knightian Uncertainty
by: Li, Ziyu, et al.
Published: (2025)

Solve the General Constrained Optimal Control Problem with Common Integration Method
by: Zhang, Sheng, et al.
Published: (2018)

An Online Algorithm for Solving Feedback Optimal Control Problems with Partial Observations
by: Liang, Siming, et al.
Published: (2024)

Time-Triggered Reduced Desensitization Formulation For Solving Optimal Control Problems
by: Ayyanathan, Praveen Jawaharlal, et al.
Published: (2024)

Reinforcement Learning Framework For Stochastic Optimal Control Problem Under Model Uncertainty
by: Hou, Jiaxuan, et al.
Published: (2025)

Reinforcement Learning for Discrete-time LQG Mean Field Social Control Problems with Unknown Dynamics
by: Zhang, Hanfang, et al.
Published: (2025)

Method for Solving State-Path Constrained Optimal Control Problems Using Adaptive Radau Collocation
by: Byczkowski, Cale A., et al.
Published: (2023)

An Optimal Control Approach for Inverse Problems with Deep Learnable Regularizers
by: Bian, Wanyu
Published: (2024)

Optimality Robustness in Koopman-Based Control
by: Lin, Yicheng, et al.
Published: (2026)

End-to-End Learning Framework for Solving Non-Markovian Optimal Control
by: Zhang, Xiaole, et al.
Published: (2025)

An Initial Condition-Dependent Neural Network Approach for Optimal Control Problems
by: Rubel, Mominul, et al.
Published: (2025)

Dynamical System Approach for Optimal Control Problems with Equilibrium Constraints Using Gap-Constraint-Based Reformulation
by: Lin, Kangyu, et al.
Published: (2024)

Distributed Solving of Linear Quadratic Optimal Controller with Terminal State Constraint
by: Yang, Wenjing, et al.
Published: (2025)

Numerical Methods for Optimal Control Problems with SPDEs
by: Prohl, Andreas, et al.
Published: (2024)

Solving the Optimal Experiment Design Problem with Mixed-Integer Convex Methods
by: Hendrych, Deborah, et al.
Published: (2023)

Convexity in Optimal Control Problems
by: Abhijeet, et al.
Published: (2024)

Solving Linear-Quadratic Stochastic Control Problems with Signatures
by: Aqsha, Alif, et al.
Published: (2026)

Double Duality: Variational Primal-Dual Policy Optimization for Constrained Reinforcement Learning
by: Li, Zihao, et al.
Published: (2024)

OR-R1: Automating Modeling and Solving of Operations Research Optimization Problem via Test-Time Reinforcement Learning
by: Ding, Zezhen, et al.
Published: (2025)

A Computationally Efficient Method for Solving Mixed-Integer AC Optimal Power Flow Problems
by: Heid, Johannes, et al.
Published: (2025)

Adversarial Observability and Performance Trade-offs in Optimal Control
by: Fotiadis, Filippos, et al.
Published: (2025)

Solving Elliptic Optimal Control Problems via Neural Networks and Optimality System
by: Dai, Yongcheng, et al.
Published: (2023)

Modified Legendre-Gauss Collocation Method for Solving Optimal Control Problems with Nonsmooth Solutions
by: Abadia-Doyle, Gabriela, et al.
Published: (2024)

Adversarial Reinforcement Learning for Robust Control of Fixed-Wing Aircraft under Model Uncertainty
by: Marquis, Dennis J., et al.
Published: (2025)

Learning to Solve Constrained Bilevel Control Co-Design Problems
by: Kotary, James, et al.
Published: (2025)

Nonlinear Dynamical Unbalanced Optimal Transport: Relaxation and Duality
by: Wu, Dongjun, et al.
Published: (2025)

Simulation-based Approach for Fast Optimal Control of a Stefan Problem with Application to Cell Therapy
by: Srisuma, Prakitr, et al.
Published: (2024)

Solving Chance Constrained Programs via a Penalty based Difference of Convex Approach
by: Li, Zhiping, et al.
Published: (2026)

GPU-Accelerated SPOCK for Scenario-Based Risk-Averse Optimal Control Problems
by: Moran, Ruairi, et al.
Published: (2025)

Solving Parameter-Robust Avoid Problems with Unknown Feasibility using Reinforcement Learning
by: So, Oswin, et al.
Published: (2026)

Solving Optimal Control Problems of Rigid-Body Dynamics with Collisions Using the Hybrid Minimum Principle
by: Hu, Wei, et al.
Published: (2022)

A Decomposition Method for Solving Sensitivity-Based Distributed Optimal Power Flow
by: Alkhraijah, Mohannad, et al.
Published: (2025)

The Ergodic Linear-Quadratic Optimal Control Problems with Random Periodic Coefficients
by: Wu, Jiacheng, et al.
Published: (2026)

Linear-Quadratic Problems in Systems and Controls via Covariance Representations and Linear-Conic Duality: Finite-Horizon Case
by: Bamieh, Bassam
Published: (2024)

Convergence of Multi-Scale Reinforcement Q-Learning Algorithms for Mean Field Game and Control Problems
by: Angiuli, Andrea, et al.
Published: (2023)

The Solution to an Impulse Control Problem Motivated by Optimal Harvesting
by: Liu, Zhesheng, et al.
Published: (2024)

Solution of the Probabilistic Lambert's Problem: Optimal Transport Approach
by: Teter, Alexis M. H., et al.
Published: (2024)

Design of Optimal Controls in Acausal LQG Problems
by: Ahmadova, Arzu, et al.
Published: (2026)

Extended Formulations for Binary Optimal Control Problems
by: Buchheim, Christoph
Published: (2024)

Deep Reinforcement Learning for Solving the Fleet Size and Mix Vehicle Routing Problem
by: Wan, Pengfu, et al.
Published: (2025)