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Would a company like OpenAi, it the "average" person be able to make a bot, using machine learning, that can outperform the best e-sport players in complex games, like PubG, with the technology we have available today? And if so: what kind of models and approach would most likely be used?

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  • $\begingroup$ Sure, take a look at papers published in Transactions on Computational Intelligence and AI in Games journal. If you employ learning, they are usually supervised and reinforcemnt. $\endgroup$ Apr 27 '18 at 7:48
  • $\begingroup$ @Media thanks for the link to the journal! Do you think a supervised learning, where it learn from game footage from an amateur (me) or by learning itself completly, using reinforced learning? $\endgroup$
    – vladasha
    Apr 29 '18 at 12:45
  • $\begingroup$ Actually I didn't understand, can you edit? $\endgroup$ May 1 '18 at 18:37
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The general algorithms would be Deep Reinforcement Learning.

One possible approach would be to collect a large number of games. Then train the agent on those games.

Another possible approach would be the agent play against itself, aka self play.

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