output
19952022
most citedBe careful with the Exp-function method

148 citations

44 papers

cs.RO2022★ 4 cited

Reinforcement learning reward function in unmanned aerial vehicle control tasks

Mikhail S. Tovarnov, Nikita V. Bykov

This paper presents a new reward function that can be used for deep reinforcement learning in unmanned aerial vehicle (UAV) control and navigation problems. The reward function is…

physics.ao-ph2021★ 33 cited

A Sustainable Concept for Permafrost Thermal Stabilization

Egor Loktionov, Elizaveta Sharaborova, Taissia Shepitko

Although permafrost thermal stabilization systems have been used for a long time already, they have always had shortcomings and limitations of performance which have become even mo…

math.PR2018

On exponential convergence rate of distribution for some non-regenerative reliability system

Galina Zverkina

The exponential upper bounds for the convergence rate of the distribution of restorable element with partially energized standby redundancy are founded, in the case when all workin…

math.CA2018

Monotone subsequence via ultrapower

Piotr Blaszczyk, Vladimir Kanovei, Mikhail G. Katz +1

An ultraproduct can be a helpful organizing principle in presenting solutions of problems at many levels, as argued by Terence Tao. We apply it here to the solution of a calculus p…

math.LO2017★ 18 cited

Definable classes at arbitrary projective levels

Vladimir Kanovei, Vassily Lyubetsky

Using a modification of the invariant Jensen forcing, we define a model of ZFC, in which, for a given , there exists a lightface set of reals, which is a ${\mat…

math.CA2017★ 35 cited

Approaches to analysis with infinitesimals following Robinson, Nelson, and others

Peter Fletcher, Karel Hrbacek, Vladimir Kanovei +3

This is a survey of several approaches to the framework for working with infinitesimals and infinite numbers, originally developed by Abraham Robinson in the 1960s, and their const…