Ensemble Kalman filters are powerful tools to merge model dynamics and observation data.For large system models, they are known to diverge due to subsampling errors at small ensemble size and Topicals thus possible spurious correlations in forecast error covariances.The Local Ensemble Transform Kalman filter (LETKF) remedies these disadvantages by
The genus Fluviphylax Whitley, 1965 is comprized of five valid species (F.pygmaeus Myers et Carvalho, 1955, F.zonatus, F.simplex, F.obscurus Costa, 1996, and F.palikur Costa et Le Bail, 1999), which are endemic to the Amazon region.These fishes are the smallest known South American vertebrates and among the smallest know vertebrates on Earth.All sp
This paper proposes to use deep reinforcement learning to teach a physics-based human musculoskeletal model to ascend stairs and Baggies ramps.The deep reinforcement learning architecture employs the proximal policy optimization algorithm combined with imitation learning and is trained with experimental data of a public dataset.The human model is d