BrainSTORM examines the possibility that the application of AI to STORM, a campaign-level combat model, could reveal novel military Courses of Action (COAs) that catalyze decisive advantages for the U.S. Department of Defense. BrainSTORM is attempting a proof-of-concept demonstration that applies Deep RL to multiple domains of STORM’s campaign in a series of vignette problems of gradually increasing size and complexity. Project milestones examine the potential of tandem human-machine COA development methods similar to the centaur approach of Freestyle Chess. Progress builds toward a live wargame tournament pitting centaur teams - non-expert humans augmented with BrainSTORM - against expert human teams who are not assisted by AI. BrainSTORM’s objectives are to develop limited and credible insights that enhance human understanding and intuition about COAs in war.
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