A Human-Machine Agent Based on Active Reinforcement Learning for Target Classification in Wargame

 To meet the requirements of high accuracy and low cost of target classification in modern warfare, and lay the foundation for target threat assessment, the article proposes a human-machine agent for target classification based on active reinforcement learning (TCARL_H-M), inferring when to introduce human experience guidance for model and how to au...

Active reinforcement learning adaptive learning wargaming environments machine learning algorithms and human input cutting-edge technologies