In order to allow the temporal coordination of two independent communicating agents, one needs to be able to plan in a time-dependent environment. This paper deals with the modeling and solving of such problems through the use of Time-dependent Markov Decision Processes (TiMDPs). We provide an analysis of the TiMDP model and exploit its properties to introduce an improved asynchronous value iteration method. Our approach is evaluated on a UAV temporal coordination problem and on the well-known Mars rover domain
In this paper, a long-term production planning problem is considered with the objective criteria Cma...
This article discusses the rendezvous maneuver for a fleet of small fixed-wing Unmanned Aerial Vehic...
This thesis addresses the question of planning under uncertainty within a time-dependent changing en...
In order to allow the temporal coordination of two independent communicating agents, one needs to be...
Time is a crucial variable in planning and often requires special attention since it introduces a sp...
In the context of time-dependent problems of planning under uncertainty, most of the problem's compl...
Recent work on Markov Decision Processes (MDPs) covers the use of continuous variables and resources...
A multitude of planning and scheduling applications have to face constrained time deadlines while pr...
This paper tackles a problem of UAV safe path planning in an urban environment where the onboard sen...
This paper tackles a problem of UAV safe path planning in an urban environment in which UAV is at ri...
The training of autonomous agents often requires expensive and unsafe trial-and-error interactions w...
This work tackles the problem of robust zero-shot planning in non-stationary stochastic environments...
The development of embedded systems according to Model-Driven Development relies on two complementar...
A. LINKEVICH, F. PANTELEENKO (Polotsk State University)A general mathematical framework is put forw...
We introduce TMDPpoly, an algorithm designed to solve planning problems with durative actions, under...
In this paper, a long-term production planning problem is considered with the objective criteria Cma...
This article discusses the rendezvous maneuver for a fleet of small fixed-wing Unmanned Aerial Vehic...
This thesis addresses the question of planning under uncertainty within a time-dependent changing en...
In order to allow the temporal coordination of two independent communicating agents, one needs to be...
Time is a crucial variable in planning and often requires special attention since it introduces a sp...
In the context of time-dependent problems of planning under uncertainty, most of the problem's compl...
Recent work on Markov Decision Processes (MDPs) covers the use of continuous variables and resources...
A multitude of planning and scheduling applications have to face constrained time deadlines while pr...
This paper tackles a problem of UAV safe path planning in an urban environment where the onboard sen...
This paper tackles a problem of UAV safe path planning in an urban environment in which UAV is at ri...
The training of autonomous agents often requires expensive and unsafe trial-and-error interactions w...
This work tackles the problem of robust zero-shot planning in non-stationary stochastic environments...
The development of embedded systems according to Model-Driven Development relies on two complementar...
A. LINKEVICH, F. PANTELEENKO (Polotsk State University)A general mathematical framework is put forw...
We introduce TMDPpoly, an algorithm designed to solve planning problems with durative actions, under...
In this paper, a long-term production planning problem is considered with the objective criteria Cma...
This article discusses the rendezvous maneuver for a fleet of small fixed-wing Unmanned Aerial Vehic...
This thesis addresses the question of planning under uncertainty within a time-dependent changing en...