Acushully... There is a very specific problem - the simulation speed problem - that is in the way. For games RL agents can be trained by running billions of a

Acushully... There is a very specific problem - the simulation speed problem - that is in the way. For games RL agents can be trained by running billions of adversarial simulations. Set up a battle between two agents and reward the one that wins, try variations and repeat, and repeat, and repeat. The trick is to manage the search process so as to not waste time on strategy branches that won't get anywhere, but the idea is very simple. Unfortunately for things like real world conflict the simulations aren't that representative of what really happens, they are also really really really really complex and slow, and so finding wining strategies is a bit hard.