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Model created by researchers from NVIDIA, trained at 50,000 episodes, and she was able to recreate a fully working game of PAC-MAN, without any engine.
it Should be noted that the rules of the game neural network asked myself, based on what I saw, in the learning process.
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This technology is important because with it you can create simulations and environments for training robots. Thus, the process of learning could be significantly improved as, currently, the occupation is very heavy and costly.
GameGAN processes frames simultaneously with the actions of the player, and based on them, sozdavat subsequent frames.
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