Publication: An environment emulator for training a neural network model to solve the "following the leader" task
Дата
2022
Авторы
Journal Title
Journal ISSN
Volume Title
Издатель
Аннотация
This paper presents a formalization of the following the leader task and an implementation of the environment emulator based on that formalization for training a neural network model that solves this task. The emulator is based on the path planning algorithm that creates the leader route used in the training process of the neural network model. The paper presents a comparative evaluation of the speed of a number of path planning algorithms with the choice of the best one. In the created emulator, it is possible to set up an environment with a different number of obstacles, routes of different lengths and complexity, as well as set up the desired behavior of the agent following the leader. Due to the speed of the developed emulator, it allows training leader-following models based on reinforcement learning technology, the tuning process of which requires a large number of training iterations in various environments.
Описание
Ключевые слова
Цитирование
An environment emulator for training a neural network model to solve the "following the leader" task / Selivanov, A. [et al.] // Procedia Computer Science. - 2022. - 213. - № C. - P. 209-216. - 10.1016/j.procs.2022.11.058