The paper proposes use of artificial intelligence for identification of object and location and explains how this information can be used for exact automated ...

Nov 24, 2021 ¡¤ In this paper, we propose an assisted deep reinforcement learning (ARL) algorithm to optimize the neural network-based missile guidance controller for head-on ...

May 26, 2023 ¡¤ The LRASM uses on-board targeting systems to acquire the target independently without the presence of intelligence or supporting services like ...

This paper aims to examine the potential of using the emerging deep reinforcement learning techniques in missile guidance applications.

Artificial Intelligence based Missile Guidance System. https://doi.org/10.1109/spin48934.2020.9071152. Journal: 2020 7th International Conference on Signal ...

In this paper, a missile terminal guidance law based on a new Deep Deterministic Policy Gradient (DDPG) algorithm is proposed to intercept a maneuvering target ...

The ANN based system enables learning, adaptation,and faster throughput and thus equips the guidance system with capability akin to intelligent biological ...

An End-to-End missile guidance method based on deep reinforcement learning (DRL) is proposed. This study develops guidance commands for target intercept in a ...

Jan 25, 2022 ¡¤ This research studies the swarm guidance and control of high-speed unmanned aerial vehicles in complex air combat environment, for example, the missile swarm.

Missile Guidance using Proportional Navigation and Machine Learning ... In this paper, we present the design and simulation of a missile homing system ...