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  2. Machine learning in video games - Wikipedia

    en.wikipedia.org/.../Machine_learning_in_video_games

    The 2014 research paper on "Variational Recurrent Auto-Encoders" attempted to generate music based on songs from 8 different video games. This project is one of the few conducted purely on video game music. The neural network in the project was able to generate data that was very similar to the data of the games it trained off of. [35]

  3. Mathematics of artificial neural networks - Wikipedia

    en.wikipedia.org/wiki/Mathematics_of_artificial...

    Networks such as the previous one are commonly called feedforward, because their graph is a directed acyclic graph. Networks with cycles are commonly called recurrent. Such networks are commonly depicted in the manner shown at the top of the figure, where is shown as dependent upon itself. However, an implied temporal dependence is not shown.

  4. Neural network (machine learning) - Wikipedia

    en.wikipedia.org/wiki/Neural_network_(machine...

    The GAN principle was originally published in 1991 by Jürgen Schmidhuber who called it "artificial curiosity": two neural networks contest with each other in the form of a zero-sum game, where one network's gain is the other network's loss. [95] [96] The first network is a generative model that models a probability distribution over

  5. Here’s what happened when neural networks took on the Game of ...

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  6. Neuroevolution of augmenting topologies - Wikipedia

    en.wikipedia.org/wiki/Neuroevolution_of...

    A timer is set for the new network and it is placed in the population to participate in the ongoing evaluations. The first application of rtNEAT is a video game called Neuro-Evolving Robotic Operatives, or NERO. In the first phase of the game, individual players deploy robots in a 'sandbox' and train them to some desired tactical doctrine.

  7. Evolving network - Wikipedia

    en.wikipedia.org/wiki/Evolving_network

    The BA model was the first model to derive the network topology from the way the network was constructed with nodes and links being added over time. However, the model makes only the simplest assumptions necessary for a scale-free network to emerge, namely that there is linear growth and linear preferential attachment.

  8. Here’s what happened when neural networks took on the Game of ...

    www.aol.com/happened-neural-networks-took-game...

    In their work, the researchers first created a small convolutional neural network and manually tuned its parameters to be able to predict the sequence of changes in the Game of Life’s grid cells ...

  9. Game theory in communication networks - Wikipedia

    en.wikipedia.org/wiki/Game_theory_in...

    More formally, it is "the study of mathematical models of conflict and cooperation between intelligent rational decision-makers." [1] An alternative term suggested "as a more descriptive name for the discipline" is interactive decision theory. [2] Game theory is mainly used in economics, political science, and psychology, as well as logic and ...