Algoritmos de computación

Previous versions of AlphaGo initially trained on thousands of human amateur and professional games to learn how to play Go. AlphaGo Zero skips this step and learns to play simply by playing games against itself, starting from completely random play. In doing so, it quickly surpassed human level of play and defeated the previously published champion-defeating version of AlphaGo by 100 games to 0. If similar techniques can be applied to other structured problems, such as protein folding, reducing energy consumption or searching for revolutionary new materials, the resulting breakthroughs have the potential to positively impact society.  (Profesor David Silver) Hace unos meses   Google DeepMind   hizo público uno de sus resultados más asombrosos: una versión del modelo neuronal que fue capaz de derrotar al campeón del mundo de   Go , solo que esta vez no necesitaron hacer uso de ningún aprendizaje supervisado de juegos entre humanos (hablé en este mismo blog en   esta otra entrada   con