Results 141 to 150 of about 3,888 (182)

Adaptive emergency response and dynamic crowd navigation for mobile robot using deep reinforcement learning. [PDF]

Front Robot AI
Alexander A, Vangaveeti VNS, Venkatesan K, Mounsef J, Ramanujam K.   +4 more
europepmc   +1 more source

Integrating physical modeling with artificial intelligence for predicting fish survival zones in polluted rivers to maintain a sustainable aquaculture industry. [PDF]

Sci Rep
El-Sattar HKA, Elshambakey M, Saleh A, Antar S.   +3 more
europepmc   +1 more source

Towards a mathematical framework for modelling cell fate dynamics. [PDF]

J Math Biol
Vittadello ST, Diaz L, Liu Y, Zanca A, Stumpf MPH.   +4 more
europepmc   +1 more source

A spatially-dependent fragmentation process. [PDF]

Probab Theory Relat Fields
Callegaro A, Roberts MI.
europepmc   +1 more source

Robustness and exploration between the interplay of the nonlinear co-dynamics HIV/AIDS and pneumonia model via fractional differential operators and a probabilistic approach. [PDF]

Sci Rep
Rashid S, Hamidi SZ, Raza MA, Shafique R, Alsubaie AS, Elagan SK.   +5 more
europepmc   +1 more source

Subgeometric hypocoercivity for piecewise-deterministic Markov process Monte Carlo methods [PDF]

Electronic Journal of Probability, 2021
We extend the hypocoercivity framework for piecewise-deterministic Markov process (PDMP) Monte Carlo established in [Andrieu et. al. (2018)] to heavy-tailed target distributions, which exhibit subgeometric rates of convergence to equilibrium. We make use
Christophe Andrieu, Paul Dobson
exaly   +2 more sources

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Stability and Ergodicity of Piecewise Deterministic Markov Processes

SIAM Journal on Control and Optimization, 2008
The main goal of this paper is to establish some equivalence results on stability, recurrence, and ergodicity between a piecewise deterministic Markov process (PDMP) $\{X(t)\}$ and an embedded discrete-time Markov chain $\{\Theta_{n}\}$ generated by a Markov kernel $G$ that can be explicitly characterized in terms of the three local characteristics of ...
O L V Costa, F Dufour
exaly   +3 more sources

Stability of Piecewise-Deterministic Markov Processes

SIAM Journal on Control and Optimization, 1999
Summary: We study a form of stability for a general family of nondiffusion Markov processes known in the literature as piecewise-deterministic Markov processes (PDMP). By stability here we mean the existence of an invariant probability measure for the PDMP.
F Dufour, O L V Costa
exaly   +2 more sources

Optimal strategies for impulse control of piecewise deterministic Markov processes

Automatica, 2017
International audienceThis paper deals with the general discounted impulse control problem of a piecewisedeterministic Markov process. We investigate a new family of ǫ-optimal strategies.
Benoite De Saporta, F Dufour
exaly   +2 more sources