Results 171 to 180 of about 937,585 (275)

Multi-UAV simultaneous target assignment and path planning based on deep reinforcement learning in dynamic multiple obstacles environments

Frontiers in Neurorobotics
Target assignment and path planning are crucial for the cooperativity of multiple unmanned aerial vehicles (UAV) systems. However, it is a challenge considering the dynamics of environments and the partial observability of UAVs.
Xiaoran Kong, Yatong Zhou, Zhe Li, Shaohai Wang   +3 more
doaj   +1 more source

Fast and scalable inference for spatial extreme value models

Canadian Journal of Statistics, EarlyView.
Abstract The generalized extreme value (GEV) distribution is a popular model for analyzing and forecasting extreme weather data. To increase prediction accuracy, spatial information is often pooled via a latent Gaussian process (GP) on the GEV parameters. Inference for GEV‐GP models is typically carried out using Markov Chain Monte Carlo (MCMC) methods,
Meixi Chen, Reza Ramezan, Martin Lysy
wiley   +1 more source

Online Unmanned Ground Vehicle Path Planning Based on Multi-Attribute Intelligent Reinforcement Learning for Mine Search and Rescue

Applied Sciences
Aiming to improve the efficiency of the online process in path planning, a novel searching method is proposed based on environmental information analysis.
Shanfan Zhang, Qingshuang Zeng
doaj   +1 more source

Robust causal inference for point exposures with missing confounders

Canadian Journal of Statistics, EarlyView.
Abstract Large observational databases are often subject to missing data. As such, methods for causal inference must simultaneously handle confounding and missingness; surprisingly little work has been done at this intersection. Motivated by this, we propose an efficient and robust estimator of the causal average treatment effect from cohort studies ...
Alexander W. Levis, Rajarshi Mukherjee, Rui Wang, Sebastien Haneuse   +3 more
wiley   +1 more source

Did earnings mobility change after minimum wage introduction? Evidence from parametric and semi‐nonparametric methods in Germany

Journal of Applied Econometrics, Volume 37, Issue 7, Page 1379-1402, November/December 2022., 2022
Summary We analyze the evolution of earnings mobility in Germany between 2011 and 2018. We use transition matrices and parametric and semi‐nonparametric copula models to assess the impact of the introduction of the national minimum wage on January 1, 2015, on individual positional persistence in the wage distribution.
Costanza Naguib
wiley   +1 more source

Susceptible‐infected‐recovered model with stochastic transmission

Canadian Journal of Statistics, EarlyView.
Abstract The susceptible‐infected‐recovered (SIR) model is the cornerstone of epidemiological models. However, this specification depends on two parameters only, which results in its lack of flexibility and explains its difficulty to replicate the volatile reproduction numbers observed in practice.
Christian Gouriéroux, Yang Lu
wiley   +1 more source

Bayesian estimation of multivariate panel probits with higher‐order network interdependence and an application to firms' global market participation in Guangdong

Journal of Applied Econometrics, Volume 37, Issue 7, Page 1356-1378, November/December 2022., 2022
Summary This paper proposes a Bayesian estimation framework for panel data sets with binary dependent variables where a large number of cross‐sectional units are observed over a short period of time and cross‐sectional units are interdependent in more than a single network domain.
Badi H. Baltagi, Peter H. Egger, Michaela Kesina   +2 more
wiley   +1 more source

First‐order Sobolev spaces, self‐similar energies and energy measures on the Sierpiński carpet

Communications on Pure and Applied Mathematics, EarlyView.
Abstract For any p∈(1,∞)$p \in (1,\infty)$, we construct p$p$‐energies and the corresponding p$p$‐energy measures on the Sierpiński carpet. A salient feature of our Sobolev space is the self‐similarity of energy. An important motivation for the construction of self‐similar energy and energy measures is to determine whether or not the Ahlfors regular ...
Mathav Murugan, Ryosuke Shimizu
wiley   +1 more source

Cooperation and coordination between fuzzy reinforcement learning agents in continuous state partially observable Markov decision processes [PDF]

, 1999
H.R. Berenji, David Vengerov
openalex   +1 more source

Affect control processes: Intelligent affective interaction using a partially observable Markov decision process [PDF]

Artificial Intelligence, 2013
J. Hoey, T. Schröder, Areej M. Alhothali   +2 more
semanticscholar   +1 more source