:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Tesfazgi, Samuel, Sprandl, Leonhard, Hirche, Sandra
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence Systems and Control
Online Access:	https://arxiv.org/abs/2504.02607
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Stable Inverse Reinforcement Learning: Policies from Control Lyapunov Landscapes
by: Tesfazgi, Samuel, et al.
Published: (2024)

Data-driven Force Observer for Human-Robot Interaction with Series Elastic Actuators using Gaussian Processes
by: Tesfazgi, Samuel, et al.
Published: (2024)

Safe Deep Model-Based Reinforcement Learning with Lyapunov Functions
by: Zhang, Harry
Published: (2024)

Lyapunov Function Consistent Adaptive Network Signal Control with Back Pressure and Reinforcement Learning
by: Ma, Chaolun, et al.
Published: (2022)

Formally Verifying Deep Reinforcement Learning Controllers with Lyapunov Barrier Certificates
by: Mandal, Udayan, et al.
Published: (2024)

Lyapunov-Certified Direct Switching Theory for Q-Learning
by: Lee, Donghwan
Published: (2026)

Avionic Main Fuel Pump Simulation and Fault-Diagnosis Benchmark
by: Janzen, Felix Leonhard, et al.
Published: (2026)

Analytical Lyapunov Function Discovery: An RL-based Generative Approach
by: Zou, Haohan, et al.
Published: (2025)

MSACL: Multi-Step Actor-Critic Learning with Lyapunov Certificates for Exponentially Stabilizing Control
by: Zhang, Yongwei, et al.
Published: (2025)

Verification-Aided Learning of Neural Network Barrier Functions with Termination Guarantees
by: Chen, Shaoru, et al.
Published: (2024)

Physics-Informed Neural Network Lyapunov Functions: PDE Characterization, Learning, and Verification
by: Liu, Jun, et al.
Published: (2023)

Certified Training with Branch-and-Bound for Lyapunov-stable Neural Control
by: Shi, Zhouxing, et al.
Published: (2024)

Formal Synthesis of Certifiably Robust Neural Lyapunov-Barrier Certificates
by: Wang, Chengxiao, et al.
Published: (2026)

Lyapunov-stable Neural Control for State and Output Feedback: A Novel Formulation
by: Yang, Lujie, et al.
Published: (2024)

A Set-Theoretic Robust Control Approach for Linear Quadratic Games with Unknown Counterparts
by: Bianchin, Francesco, et al.
Published: (2025)

Thermodynamic Liquid Manifold Networks: Physics-Bounded Deep Learning for Solar Forecasting in Autonomous Off-Grid Microgrids
by: Abdullah, Mohammed Ezzaldin Babiker
Published: (2026)

Multi-Year Maintenance Planning for Large-Scale Infrastructure Systems: A Novel Network Deep Q-Learning Approach
by: Fard, Amir, et al.
Published: (2025)

SOLIS: Physics-Informed Learning of Interpretable Neural Surrogates for Nonlinear Systems
by: Mansur, Murat Furkan, et al.
Published: (2026)

DeepSafeMPC: Deep Learning-Based Model Predictive Control for Safe Multi-Agent Reinforcement Learning
by: Wang, Xuefeng, et al.
Published: (2024)

Physics-Informed Deep Learning and Partial Transfer Learning for Bearing Fault Diagnosis in the Presence of Highly Missing Data
by: Kavianpour, Mohammadreza, et al.
Published: (2024)

Lyapunov-Aware Quantum-Inspired Reinforcement Learning for Continuous-Time Vehicle Control: A Feasibility Study
by: Kraipatthanapong, Nutkritta, et al.
Published: (2025)

Deep Learning Based Simulators for the Phosphorus Removal Process Control in Wastewater Treatment via Deep Reinforcement Learning Algorithms
by: Mohammadi, Esmaeel, et al.
Published: (2024)

CIKAN: Constraint Informed Kolmogorov-Arnold Networks for Autonomous Spacecraft Rendezvous using Time Shift Governor
by: Kim, Taehyeun, et al.
Published: (2024)

PC-DeepNet: A GNSS Positioning Error Minimization Framework Using Permutation-Invariant Deep Neural Network
by: Kabir, M. Humayun, et al.
Published: (2025)

A Review of Physics-Informed Machine Learning Methods with Applications to Condition Monitoring and Anomaly Detection
by: Wu, Yuandi, et al.
Published: (2024)

Constrained Reinforcement Learning with Smoothed Log Barrier Function
by: Zhang, Baohe, et al.
Published: (2024)

Hereditary Geometric Meta-RL: Nonlocal Generalization via Task Symmetries
by: Nitschke, Paul, et al.
Published: (2026)

PowerModelsGAT-AI: Physics-Informed Graph Attention for Multi-System Power Flow with Continual Learning
by: Ezeakunne, Chidozie, et al.
Published: (2026)

Transfer of Safety Controllers Through Learning Deep Inverse Dynamics Model
by: Nadali, Alireza, et al.
Published: (2024)

Enhancing Microgrid Performance Prediction with Attention-based Deep Learning Models
by: Maddineni, Vinod Kumar, et al.
Published: (2024)

Representation Learning Enhanced Deep Reinforcement Learning for Optimal Operation of Hydrogen-based Multi-Energy Systems
by: Pu, Zhenyu, et al.
Published: (2026)

Deep Learning for Sequential Decision Making under Uncertainty: Foundations, Frameworks, and Frontiers
by: Buyuktahtakin, I. Esra
Published: (2026)

Function Approximation for Reinforcement Learning Controller for Energy from Spread Waves
by: Sarkar, Soumyendu, et al.
Published: (2024)

Green Energy Management for Sustainable Data Centers Using Deep Reinforcement Learning
by: Bahi, Abderaouf, et al.
Published: (2025)

A Graph-Enhanced Deep-Reinforcement Learning Framework for the Aircraft Landing Problem
by: Maru, Vatsal
Published: (2025)

Optimistic World Models: Efficient Exploration in Model-Based Deep Reinforcement Learning
by: Mete, Akshay, et al.
Published: (2026)

Differentiable Optimization for Deep Learning-Enhanced DC Approximation of AC Optimal Power Flow
by: Rosemberg, Andrew, et al.
Published: (2025)

Infinite-Horizon Reach-Avoid Zero-Sum Games via Deep Reinforcement Learning
by: Li, Jingqi, et al.
Published: (2022)

Fully Dynamic Rebalancing in Dockless Bike-Sharing Systems via Deep Reinforcement Learning
by: Scarpel, Edoardo, et al.
Published: (2026)

A Domain-Knowledge-Aided Deep Reinforcement Learning Approach for Flight Control Design
by: Shin, Hyo-Sang, et al.
Published: (2019)