We study the time evolution of an increasing stochastic process governed by a first-order stochastic differential system. This defines a particular piecewise deterministic Markov process (PDMP).
Limnios, Nikolaos, Chiquet, Julien
core
Fast, approximation-free molecular simulation of the SPC/Fw water model using non-reversible Markov chains. [PDF]
Höllmer P, Maggs AC, Krauth W.
europepmc +1 more source
Reinforcement Learning for Robust Dynamic Metabolic Control. [PDF]
Espinel-Ríos S, Walser R, Zhang D.
europepmc +1 more source
Unifying non-Markovian dynamics and agent heterogeneity in scalable stochastic networks. [PDF]
Pélissier A +4 more
europepmc +1 more source
Efficient approximations of transcriptional bursting effects on the dynamics of a gene regulatory network. [PDF]
Kursawe J, Moneyron A, Galla T.
europepmc +1 more source
Quantum speedup for nonreversible Markov chains. [PDF]
Claudon B, Piquemal JP, Monmarché P.
europepmc +1 more source
A CCO-PPO Framework for Autonomous UAV Trajectory Tracking in Complex and Disturbed Environments. [PDF]
Guo X +6 more
europepmc +1 more source
Operating strategy for load service entities using flexible real-time pricing through stochastic dual dynamic programming. [PDF]
Choi W, Im J, Lee J, Chung JH, Lee D.
europepmc +1 more source
A Ca<sup>2+</sup> puff model based on integrodifferential equations. [PDF]
Hawker M +4 more
europepmc +1 more source
Connections between sequential Bayesian inference and evolutionary dynamics. [PDF]
Pathiraja S, Wacker P.
europepmc +1 more source

