Skip to content
Feature importance evaluation method for multi-agent deep reinforcement learning in advanced robotics task allocation

Feature importance evaluation method for multi-agent deep reinforcement learning in advanced robotics task allocation

The need to tackle intelligent tasks using advanced robotics multi-agent systems (MAS) actualize the use of artificial neural networks (ANNs) and multi-agent deep reinforcement learning technology. The article aims to solve the problem of exponential growth of ANN complexity with an increase in the...

Full description

Saved in:
Bibliographic Details
Main Authors: Ryabtsev, S. S., Рябцев, С. С., Gurchinsky, M. M., Гурчинский, М. М., Struchkov, I. V., Стручков, И. В., Petrenko, V. I., Петренко, В. И., Tebueva, F. B., Тебуева, Ф. Б.
Format: Статья
Language:English
Published: ALife Robotics Corporation Ltd 2022
Subjects:
Artificial neural networks
Multi-agent systems
Feature
Multi-agent deep reinforcement learning
Online Access:https://dspace.ncfu.ru/handle/20.500.12258/19241
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://dspace.ncfu.ru/handle/20.500.12258/19241

Similar Items