Results 211 to 220 of about 6,522,305 (296)

HRL-Det: Hierarchical Reinforcement Learning for Sequential Object Detection in Aerial Imagery. [PDF]

Sensors (Basel)
Li M, Hu Y.
europepmc   +1 more source

Multi‐Agent Reinforcement Learning for Joint Police Patrol and Dispatch

Naval Research Logistics (NRL), EarlyView.
ABSTRACT Police patrol units need to split their time between performing preventive patrol and being dispatched to serve emergency incidents. In the existing literature, patrol and dispatch decisions are often studied separately. We consider joint optimization of these two decisions to improve police operations efficiency and reduce response time to ...
Matthew Repasky, He Wang, Yao Xie
wiley   +1 more source

Statistical limits and conditional complexity in real-world reinforcement learning: a tutorial survey. [PDF]

Front Artif Intell
Ahmad A, Vallès Y, Idaghdour Y.
europepmc   +1 more source

Host suitability of Mediterranean olive (Olea europaea L.) varieties to two root‐knot nematode species (Meloidogyne javanica and M. incognita) under greenhouse conditions

New Plant Protection, EarlyView.
Root‐knot nematodes significantly threaten olive production in Morocco. Screening of seven olive varieties revealed strong resistance in Koroneiki and Picholine Marocaine, characterized by suppressed nematode reproduction, sustained plant growth, and enhanced defense responses.
Salah‐Eddine Laasli, Abdelfattah A. Dababat, Fouad Mokrini, Elhassan Mayad, Amal Hari, Hajar El Hamss, Honglian Li, Rachid Lahlali   +7 more
wiley   +1 more source

Reinforcement learning-assisted distributionally robust energy management for multi-microgrid networks. [PDF]

Sci Rep
Li H, Zhang Y, Zheng Y, Tan Z, Yue X, Jiang X, Jiang Y, Wang S.   +7 more
europepmc   +1 more source

Safeguarded Reinforcement Learning for Dynamic Environments

Optimal Control Applications and Methods, EarlyView.
This paper uses a combination of Reinforcement Learning and Funnel Control to train a fast and safe controller for systems operating in changing environments. Furthermore, the presented formulation overcomes former limitations associated with the need for predefined reference trajectories.
Simon Gottschalk
wiley   +1 more source

A hierarchical multi‑timescale reinforcement learning framework for hybrid energy storage management with aging‑aware constraint adaptation. [PDF]

Sci Rep
Mohammadbeigi M, Rezazadeh A, Sedighizadeh M.   +2 more
europepmc   +1 more source

Tailored Mandibular Advancement Therapy Guided Through a Mandibular Positioner: Predictive Value in Obstructive Sleep Apnea

Otolaryngology–Head and Neck Surgery, EarlyView.
Abstract Objective Mandibular advancement devices (MADs) are a recognized alternative to continuous positive airway pressure (CPAP) for treating obstructive sleep apnea (OSA), though patient selection is still challenging. Tailored MAD guided through drug induced sleep endoscopy (DISE) with a mandibular titratable positioner (SAM) offers a stable and ...
Patricia Fernández‐Sanjuán, Gabriela Bosco, Nuria Pérez‐Martín, Marta Alcaraz, Juan J. Arrieta, Jaime Sanabria, Silvia González‐Pondal, Rodolfo Lugo, Marcos Ríos‐Lago, Carlos O'Connor‐Reina, Peter Baptista, Guillermo Plaza   +11 more
wiley   +1 more source

Clinical risk-aware reinforcement learning for latency-constrained healthcare IoT scheduling. [PDF]

Sci Rep
Jumah JAB, Mirghani HO, Alateeq S, Algahtani MA, Althubyani BY, Alsaadi N, Abdallah A, Alazzam MB.   +7 more
europepmc   +1 more source