Deep reinforcement learning and automatic target recognition: synergies and opportunities
Miguel Morales · 2021
In recent years, the field of artificial intelligence has shown significant progress in solving problems that seemed impossible just a few years ago: from the real-time autonomous control of super-pressure balloons in the stratosphere to reducing the energy required for cooling a data centre, and from training robots to acquire skills that generalize effectively to diverse real-world objects and situation to improving mobile phone battery use and screen brightness for millions of people. Underlying all these real-world success stories is a collection of methods known as deep reinforcement learning which has proven superior at finding near-optimal policies of behaviors. We envision that combining deep reinforcement learning with automatic target recognition, which extracts actionable military information from sensor data, will have a meaningful impact on the future of warfare.