Analysis and Visualization of Battlefield Simulations Based on Deep Reinforcement Learning

Abstract

The extraction of useful information from large, disparate, and heterogeneous data sets requires a good set of tools and techniques. We report the details of such an exercise involving battlefield simulation data and development of the tools for the statistical analysis and visualization.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2021
Accession Number
AD1149438

Entities

People

  • Adam Childs
  • Cleon Anderson
  • Vinod K. Mishra

Organizations

  • United States Army Research Laboratory

Tags

Communities of Interest

  • Autonomy
  • C4I

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Artificial Intelligence Software
  • Bayesian Networks
  • Command And Control
  • Computational Science
  • Computer Languages
  • Computers
  • Data Analysis
  • Data Mining
  • Data Science
  • Databases
  • Information Science
  • Machine Learning
  • Neural Networks
  • Probabilistic Models
  • Reinforcement Learning
  • Statistical Analysis

Fields of Study

  • Computer science

Readers

  • Distributed Systems and Data Platform Development
  • Military Training and Readiness Simulation
  • Neural Network Machine Learning.

Technology Areas

  • AI & ML