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The same company, DeepMind, already published about reinforcement learners reaching superhuman performance on many realtime games -- old Atari ones

This is not remotely similar to league of legends or starcraft.

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I would think LoL and Starcraft would be easier in terms of difficulty than something like Go, because they both have the fast twitch aspect of play. An automated player would have the advantage of perfect situational awareness of the mini map and consistency in character placement and so forth. This is a big advantsge in games where a single misclick or a missed visual can cost a match.

Strategy is what matters here. That's what I was getting at with the last part of my first message. We can make bots that do certain aspects of the game flawlessly and we will need to find a way to integrate them.

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