ASA: a simulation environment for evaluating military operational scenarios
The Aerospace Simulation Environment (Ambiente de Simula\c {c}\~ ao Aeroespacial--ASA
in Portuguese) is a custom-made object-oriented simulation framework developed mainly in …
in Portuguese) is a custom-made object-oriented simulation framework developed mainly in …
Supervised machine learning for effective missile launch based on beyond visual range air combat simulations
This work compares supervised machine learning methods using reliable data from beyond
visual range air combat constructive simulations to estimate the most effective moment for …
visual range air combat constructive simulations to estimate the most effective moment for …
AsaPy: A Python Library for Aerospace Simulation Analysis
AsaPy is a custom-made Python library designed to simplify and optimize the analysis of
simulation data. It offers a range of features, including the design of experiment methods …
simulation data. It offers a range of features, including the design of experiment methods …
Multicriteria game approach to air-to-air combat tactical decisions for multiple UAVs
Air-to-air combat tactical decisions for multiple unmanned aerial vehicles (ACTDMU) are a
key decision-making step in beyond visual range combat. Complex influencing factors …
key decision-making step in beyond visual range combat. Complex influencing factors …
Autonomous Agent for Beyond Visual Range Air Combat: A Deep Reinforcement Learning Approach
This work contributes to developing an agent based on deep reinforcement learning
capable of acting in a beyond visual range (BVR) air combat simulation environment. The …
capable of acting in a beyond visual range (BVR) air combat simulation environment. The …
Real-Time Surface-to-Air Missile Engagement Zone Prediction Using Simulation and Machine Learning
Surface-to-Air Missiles (SAMs) are crucial in modern air defense systems. A critical aspect of
their effectiveness is the Engagement Zone (EZ), the spatial region within which a SAM can …
their effectiveness is the Engagement Zone (EZ), the spatial region within which a SAM can …
UAV Confrontation Decision‑Making Based on Fictitious Self‑play Multi‑agent Proximal Policy Optimization.
W Mingming, Z Baoyong, WU Chong… - … of Aeronautics & …, 2023 - search.ebscohost.com
This paper addresses the confrontation decision-making problem of unmanned aerial
vehicles (UAVs) based on fictitious self-play multi-agent proximal policy optimization. UAV …
vehicles (UAVs) based on fictitious self-play multi-agent proximal policy optimization. UAV …