Autonomous Agent for Beyond Visual Range Air Combat: A Deep Reinforcement Learning Approach

Author:

Dantas Joao P. A.1ORCID,Maximo Marcos R. O. A.2ORCID,Yoneyama Takashi3ORCID

Affiliation:

1. Decision Support Systems Subdivision, Institute for Advanced Studies, Brazil

2. Autonomous Computational System Lab, Aeronautics Institute of Technology, Brazil

3. Electronic Engineering Division, Aeronautics Institute of Technology, Brazil

Publisher

ACM

Reference19 articles.

1. Marc  G Bellemare , Will Dabney , and Rémi Munos . 2017 . A distributional perspective on reinforcement learning . In International Conference on Machine Learning. PMLR, 449–458 . Marc G Bellemare, Will Dabney, and Rémi Munos. 2017. A distributional perspective on reinforcement learning. In International Conference on Machine Learning. PMLR, 449–458.

2. Joao P. A. Dantas. 2018. Apoio à Decisão para o Combate Aéreo Além do Alcance Visual: Uma Abordagem por Redes Neurais Artificiais. Master’s Thesis. Instituto Tecnológico de Aeronáutica São José dos Campos SP Brazil. Joao P. A. Dantas. 2018. Apoio à Decisão para o Combate Aéreo Além do Alcance Visual: Uma Abordagem por Redes Neurais Artificiais. Master’s Thesis. Instituto Tecnológico de Aeronáutica São José dos Campos SP Brazil.

3. Engagement Decision Support for Beyond Visual Range Air Combat

4. Joao P. A. Dantas , Andre  N. Costa , Diego Geraldo , Marcos R. O. A. Maximo , and Takashi Yoneyama . 2021. Weapon Engagement Zone Maximum Launch Range Estimation Using a Deep Neural Network . In Intelligent Systems, André Britto and Karina Valdivia Delgado (Eds.). Springer , Cham , 193–207. Joao P. A. Dantas, Andre N. Costa, Diego Geraldo, Marcos R. O. A. Maximo, and Takashi Yoneyama. 2021. Weapon Engagement Zone Maximum Launch Range Estimation Using a Deep Neural Network. In Intelligent Systems, André Britto and Karina Valdivia Delgado (Eds.). Springer, Cham, 193–207.

5. Joao P. A Dantas , Andre  N. Costa , Vitor C. F. Gomes , Andre  R. Kuroswiski , Felipe L. L. Medeiros , and Diego Geraldo . 2022 . ASA: A Simulation Environment for Evaluating Military Operational Scenarios . In Proceedings of the 20th International Conference on Scientific Computing. 25th–28th , Las Vegas, NV, USA. Joao P. A Dantas, Andre N. Costa, Vitor C. F. Gomes, Andre R. Kuroswiski, Felipe L. L. Medeiros, and Diego Geraldo. 2022. ASA: A Simulation Environment for Evaluating Military Operational Scenarios. In Proceedings of the 20th International Conference on Scientific Computing. 25th–28th, Las Vegas, NV, USA.

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1. AsaPy: A Python Library for Aerospace Simulation Analysis;Proceedings of the 38th ACM SIGSIM Conference on Principles of Advanced Discrete Simulation;2024-06-24

2. Loyal Wingman Assessment: Social Navigation for Human-Autonomous Collaboration in Simulated Air Combat;Proceedings of the 38th ACM SIGSIM Conference on Principles of Advanced Discrete Simulation;2024-06-24

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