AI teaches the AI characters walk, run and even play football
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Artificial intelligence and neural network function in machine learning has long been able to learn various skills virtually unaided. But, according to the publication Techxplore, a group of researchers came up with the idea to force the AI to act as a «mentor» teaching created a computer model to run, walk, play football and overcome obstacles based on their own experience.
A New algorithm called DeepLoco, and it can be used as an alternative method of creating a motion animation in games and movies. Now animating computer characters is a manual process, or by transferring pre-recorded movements of real actors. DeepLoco enables computer characters to automatically move so that the movements were realistic and consistent with the environment. During the learning process the characters earn experience through trial and error, producing an ideal model of behavior for each situation.
For example, now the characters have learned to walk on a narrow path, to avoid collisions with moving objects and even kick a soccer ball. Thus, according to the creators of the algorithm, training computer models is not limited. DeepLoco can also be used in the training of two - and four-legged robots. Application process «independent study» can give the opportunity to teach the robot the movement without accurate manual settings. As the author of the work Professor Michel van de Pann
«We create models of people who learn to move quickly and deftly, focusing on the environment. We teach computer characters react to the situation, while not specifying manually the necessary strategies, for example, to keep the balance or to plan a path through the moving obstacles. All this model learns independently».
Http://www.youtube.com/watch?v=15IyqCwTV4A
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