Effect of Trailing Edge Serrations for the Control of Reverse Flow Induced Flow Separation on High-Speed Rotorcraft

Abstract

The architecture, transformer, becomes one of the most popular networks in learning. Transformer roots in its efficiency in learning with sequence data. As sequence learning is a central theme of multi-agent reinforcement learning (MARL), it is natural to extend the application of transformer to the multi-agent setting. In this project, the research team will explore the capability of transformer architecture in MARL.

Document Details

Document Type
DoD Grant Award
Publication Date
Feb 05, 2025
Source ID
FA23862414020

Entities

People

  • Tufan Guha

Organizations

  • Air Force Office of Scientific Research
  • Indian Institute of Technology Kanpur
  • United States Air Force

Tags

Readers

  • Aerodynamics.
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Technology Areas

  • AI & ML
  • AI & ML - Machine Learning Algorithms
  • AI & ML - Neural Networks