:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Paulig, Niklas, Okhrin, Ostap
Format:	Preprint
Published:	2024
Subjects:	Applications
Online Access:	https://arxiv.org/abs/2407.04402
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

2-Level Reinforcement Learning for Ships on Inland Waterways: Path Planning and Following
by: Waltz, Martin, et al.
Published: (2023)

An open‐source data acquisition platform for teaching vibration analysis
by: Luis G. Trujillo‐Franco, et al.
Published: (2024)

Vision-based DRL Autonomous Driving Agent with Sim2Real Transfer
by: Li, Dianzhao, et al.
Published: (2023)

Ethics-Aware Safe Reinforcement Learning for Rare-Event Risk Control in Interactive Urban Driving
by: Li, Dianzhao, et al.
Published: (2025)

Stagewise crop yield prediction with multisource functional indices
by: Jing Zou, et al.
Published: (2026)

Addressing Maximization Bias in Reinforcement Learning with Two-Sample Testing
by: Waltz, Martin, et al.
Published: (2022)

A Platform-Agnostic Deep Reinforcement Learning Framework for Effective Sim2Real Transfer towards Autonomous Driving
by: Li, Dianzhao, et al.
Published: (2023)

Estimating link level traffic emissions: enhancing MOVES with open-source data
by: Wang, Lijiao, et al.
Published: (2025)

A sub-hourly spatio-temporal statistical model for solar irradiance in Ireland using open-source data
by: Upton, Maeve, et al.
Published: (2025)

Causal resilience curves: A data-driven framework for quantifying the spatiotemporal impacts of metro service disruptions
by: Zhang, Nan, et al.
Published: (2023)

Modelling between- and within-season trajectories in elite athletic performance data
by: Spyropoulou, M., et al.
Published: (2024)

Estimation of Spatial and Temporal Autoregressive Effects using LASSO - An Example of Hourly Particulate Matter Concentrations
by: Nyabuto, Elkanah, et al.
Published: (2025)

Multispectral representation of Distributed Acoustic Sensing data: a framework for physically interpretable feature extraction and visualization
by: Morell-Monzó, Sergio, et al.
Published: (2026)

Estimating effect thresholds and beyond: A flexible framework for multivariate alert detection
by: Ameis, Lucia, et al.
Published: (2026)

A physics and data co-driven surrogate modeling method for high-dimensional rare event simulation
by: Xian, Jianhua, et al.
Published: (2023)

Area between trajectories: Insights into optimal group selection and trajectory heterogeneity in group-based trajectory modeling
by: Hsiao, Yi-Chen, et al.
Published: (2025)

Autonomous Driving Small-Scale Cars: A Survey of Recent Development
by: Li, Dianzhao, et al.
Published: (2024)

Self-organized free-flight arrival for urban air mobility
by: Waltz, Martin, et al.
Published: (2024)

Dynamic tail risk forecasting: what do realized skewness and kurtosis add?
by: Gallo, Giampiero, et al.
Published: (2024)

Two-step dynamic obstacle avoidance
by: Hart, Fabian, et al.
Published: (2023)

Compositional data analysis for modelling and forecasting mortality using the α-transformation
by: Lim, Han Ying, et al.
Published: (2025)

An open‐source LED lamp for use with the LI‐6800 photosynthesis system
by: Aarón I. Vélez‐Ramírez, et al.
Published: (2024)

A statistical framework for analyzing activity pattern from GPS data
by: Wu, Haoyang, et al.
Published: (2025)

Modeling mental health trajectories during the COVID-19 pandemic using UK-wide data in the presence of sociodemographic variables
by: Nightingale, Glenna, et al.
Published: (2026)

Estimation of mask effectiveness perception for small domains using multiple data sources
by: Sen, Aditi, et al.
Published: (2021)

Data-driven subgrouping of patient trajectories with chronic diseases: Evidence from low back pain
by: Naumzik, Christof, et al.
Published: (2024)

A comparison of mixed-models for the analysis of non-linear longitudinal data: application to late-life cognitive trajectories
by: Wagner, Maude, et al.
Published: (2024)

Determination of emissivity profiles using a Bayesian data-driven approach
by: Sgheri, Luca, et al.
Published: (2024)

Hypothesis-driven mediation analysis for compositional data: an application to gut microbiome
by: Kartiosuo, Noora, et al.
Published: (2023)

Modeling Maritime Transportation Behavior Using AIS Trajectories and Markovian Processes in the Gulf of St. Lawrence
by: Spadon, Gabriel, et al.
Published: (2025)

Controlling FDR in selecting group-level simultaneous signals from multiple data sources with application to the National Covid Collaborative Cohort data
by: Wang, Runqiu, et al.
Published: (2023)

Optimal enhanced backstepping method for trajectory tracking control of the wheeled mobile robot
by: Ke Zhang, et al.
Published: (2024)

Stochastic modeling of particle structures in spray fluidized bed agglomeration using methods from machine learning
by: Fuchs, Lukas, et al.
Published: (2025)

clustra: A multi-platform k-means clustering algorithm for analysis of longitudinal trajectories in large electronic health records data
by: Adhikari, Nimish, et al.
Published: (2025)

Bias correction in treatment effect estimates following data-driven biomarker cutoff selection
by: Zhang, Chi, et al.
Published: (2025)

Inferring a population composition from survey data with nonignorable nonresponse: Borrowing information from external sources
by: Ballerini, Veronica, et al.
Published: (2022)

Pandemic model with data-driven phase detection, a study using COVID-19 data
by: Liu, Yuansan, et al.
Published: (2021)

Approximate Bayesian inference for high-resolution spatial disaggregation using alternative data sources
by: Pakrashi, Anis, et al.
Published: (2024)

Do-search -- a tool for causal inference and study design with multiple data sources
by: Karvanen, Juha, et al.
Published: (2020)

Bayesian integrative factor analysis methods, with application in nutrition and genomics data
by: Liang, Mavis, et al.
Published: (2025)