In this paper, in order to tackle the challenge of a game playing agent, a combination of algorithms with the aim to play and win the game was introduced. The agent will learn to play a simplified version of a very popular game Super Mario. Even though launched almost four decades ago,...
The results clearly suggest that the writing is on the wall for human Go players. Clark and Storkey’s neural network beat GNU Go almost 90 percent of the time in a run of 200 games. In other words, after a few days training, the neural net was able to beat GNU ...
Regardless of the machine learning vs. deep learning network nuances, any type of learning process is still learning, of course. But deep learning is a more scalable algorithm, says industry pioneerAndrew Ng(one of the co-founders of Google Brain (Wikipedia): performance continues to improve as...
techniques borrowed from AI being merged with more recent approaches.Supervised learningis used in order to learn from a dataset of expert moves, thenreinforcement learningis used in order to improve game-playing and finally this is used in a more formaltree searchalgorithm, reminiscent ofclassic ...
And yet today, Guillaume Lample and François Charton, at Facebook AI Research in Paris, say they have developed an algorithm that does the job with just a moment’s thought. These guys have trained a neural network to perform the necessary symbolic reasoning to differentiate and i...
In: 2014 IEEE Conference on Computational Intelligence and Games, pp. 1–8 (2014) Google Scholar tjwei: A deep learning AI for 2048 (2016). https://github.com/tjwei/2048-NN Virdee, N.: Trained a convolutional neural network to play 2048 using deep-reinforcement learning (2018). https...
The main part of the chapter is an introduction to one of the most widely used types of deep network: deep convolutional networks. We'll work through a detailed example - code and all - of using convolutional nets to solve the problem of classifying handwritten digits from the MNIST data se...
The authors declare that the algorithm of the demonstrated neural network supporting the findings of this study is available within the paper and its supplementary information files.References LeCun, Y., Bengio, Y. & Hinton, G. Deep learning. Nature 521, 436–444 (2015). Article ADS CAS Goog...
The model can be any appropriate statistical model, network, or algorithm useful for such purposes, as may include an artificial neural network, deep learning algorithm, learning classifier, Bayesian network, and the like. The training manager 604 can select a base model, or other untrained model...
describe decision-making in larger and more complicated tasks. In 2015, DeepMind, an artificial intelligence company owned by Google, developed a complex artificial intelligence algorithm, called the Deep Q Network (DQN), that could learn to play dozens of Atari video games at human or superhuman...