Abstract. We prove a weak version of the dynamic programming principle for standard stochas-tic control problems and mixed control-stopping problems, which avoids the technical difficulties related to the measurable selection argument. In the Markov case, our result is tailor-made for the derivation of the dynamic programming equation in the sense of viscosity solutions. Key words. Optimal control, Dynamic programming, discontinuous viscosity solutions. AMS subject classifications. Primary 49L25, 60J60; secondary 49L20, 35K55. 1. Introduction. Conside
In this paper, we define and study a new class of optimal stochastic control problems which is close...
We study a combined optimal control/stopping problem under a nonlinear expectation Ef induced by a B...
1 Stochastic control problems and the associated Hamilton-Jacobi-Bellman equation 6 1.1 Stochastic C...
International audienceWe prove a weak version of the dynamic programming principle for standard stoc...
International audienceWe prove a weak version of the dynamic programming principle for standard stoc...
Abstract. We prove a weak version of the dynamic programming principle for standard sto-chastic cont...
We prove a weak version of the dynamic programming principle for standard stochastic control problem...
We prove a weak version of the dynamic programming principle for standard stochastic control problem...
We prove a weak version of the dynamic programming principle for standard stochastic control problem...
International audienceWe prove a weak version of the dynamic programming principle for standard stoc...
International audienceWe prove a weak version of the dynamic programming principle for standard stoc...
In this paper, we define and study a new class of optimal stochastic control problems which is close...
The dynamic programming argument leads to various partial differential equations in finite or in inf...
International audienceWe study a combined optimal control/stopping problem under a nonlinear expecta...
International audienceWe study a combined optimal control/stopping problem under a nonlinear expecta...
In this paper, we define and study a new class of optimal stochastic control problems which is close...
We study a combined optimal control/stopping problem under a nonlinear expectation Ef induced by a B...
1 Stochastic control problems and the associated Hamilton-Jacobi-Bellman equation 6 1.1 Stochastic C...
International audienceWe prove a weak version of the dynamic programming principle for standard stoc...
International audienceWe prove a weak version of the dynamic programming principle for standard stoc...
Abstract. We prove a weak version of the dynamic programming principle for standard sto-chastic cont...
We prove a weak version of the dynamic programming principle for standard stochastic control problem...
We prove a weak version of the dynamic programming principle for standard stochastic control problem...
We prove a weak version of the dynamic programming principle for standard stochastic control problem...
International audienceWe prove a weak version of the dynamic programming principle for standard stoc...
International audienceWe prove a weak version of the dynamic programming principle for standard stoc...
In this paper, we define and study a new class of optimal stochastic control problems which is close...
The dynamic programming argument leads to various partial differential equations in finite or in inf...
International audienceWe study a combined optimal control/stopping problem under a nonlinear expecta...
International audienceWe study a combined optimal control/stopping problem under a nonlinear expecta...
In this paper, we define and study a new class of optimal stochastic control problems which is close...
We study a combined optimal control/stopping problem under a nonlinear expectation Ef induced by a B...
1 Stochastic control problems and the associated Hamilton-Jacobi-Bellman equation 6 1.1 Stochastic C...