Risk‐aware safe reinforcement learning for control of stochastic linear systems
Abstract This paper presents a risk‐aware safe reinforcement learning (RL) control design for stochastic discrete‐time linear systems. Rather than using a safety certifier to myopically intervene with the RL controller, a risk‐informed safe controller is also learned besides the RL controller, and the RL and safe controllers are combined together ...
Babak Esmaeili +2 more
wiley +1 more source
A mixed-integer linear programming method for time-dependent line planning in passenger railway systems. [PDF]
Shi X, Zhou W, Li X.
europepmc +1 more source
Aims Oral administration of (S)‐ketamine for treatment‐resistant depression (TRD), as alternative to the registered intranasal or off‐label intravenous administrations, has high potential. However, it is characterized by an extensive first‐pass metabolism, resulting in low (S)‐ketamine exposure and high levels of active metabolites, including (S ...
Marije E. Otto +5 more
wiley +1 more source
A New Ant Colony Optimization-Based Dynamic Path Planning and Energy Optimization Model in Wireless Sensor Networks for Mobile Sink by Using Mixed-Integer Linear Programming. [PDF]
Chen F, Wu X, Wang Z, Qi W, Li P.
europepmc +1 more source
Real‐time biosensing of Parkinson's disease biomarkers via NIR‐activated upconversion nanoparticles
Schematic illustration of the luminescence resonance energy transfer‐driven core‐shell‐shell UCNPs (cssUCNPs@Fluo4) nanoprobe for simultaneous monitoring of Ca²⁺‐temperature dynamics in Parkinson's disease models. Abstract Parkinson's disease (PD) is a progressive neurodegenerative disorder with incompletely understood pathophysiology, necessitating ...
Jialin Liu +9 more
wiley +1 more source
Mixed-Integer Linear Programming Formulation with Embedded Machine Learning Surrogates for the Design of Chemical Process Families. [PDF]
Stinchfield G +5 more
europepmc +1 more source
ABSTRACT As correctional jurisdictions and risk instrument developers look to optimize scoring for specific population needs, an open question remains ‐ which method is optimal. Popular scoring methods range from manual simple scoring approaches (e.g., Burgess) to more complex machine learning algorithms (e.g., random forests).
Danielle J. Rieger +2 more
wiley +1 more source
State-Based Fault Diagnosis of Finite-State Vector Discrete-Event Systems via Integer Linear Programming. [PDF]
Chen Q, Garayev M, Liu D.
europepmc +1 more source
Exact integer linear programming solvers outperform simulated annealing for solving conservation planning problems. [PDF]
Schuster R +3 more
europepmc +1 more source
This study established the first creation of a commercially available double GS knockout (DKO) from a single KO in CHO‐K1 cells, called CleanCut GS CHO using Cas‐CLOVER. When combined with the Harbor‐IN transposase system, CleanCut GS CHO cells demonstrated a highly antibody productivity.
Cintia Gomez Limia +7 more
wiley +1 more source

