LogFAQs > #902165879

What was impossible 20 years ago was finding a way to process a shitton of game states without taking forever to compute or frying your hardware in the process. And that was addressed by clever methods to address a small subset of these states. All of this is still working in a domain where you can iterate through these states and recursively update the values of prior states, and algorithms are able to do this because of the clearly defined rules of whatever game it's playing (and that's how it's able to "play out" and learn from these future states before they actually occur)

Everything you just said doesn't have jack shit to do with reinforcement learning
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Roll Tide & Go Irish