Multi-Robot Flocking Control Based on Deep Reinforcement Learning

Multi-Robot Flocking Control Based on Deep Reinforcement Learning

In this paper, we apply deep reinforcement learning (DRL) to solve the flocking control problem of multi-robot systems in complex environments with dynamic obstacles. Starting from the traditional flocking model, we propose a DRL framework for implementing multi-robot flocking control, eliminating t...

Full description

Bibliographic Details
Main Authors: Pengming Zhu, Wei Dai, Weijia Yao, Junchong Ma, Zhiwen Zeng, Huimin Lu
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Multi-robot
deep reinforcement learning
flocking control
PER-MADDPG
Online Access:https://ieeexplore.ieee.org/document/9169650/

Internet

https://ieeexplore.ieee.org/document/9169650/

Similar Items