Human-level control through deep reinforcement learning

by

0

Source: www.nature.com

full paper:
http://www.nature.com/articles/nature14236.epdf?shared_access_token=GIOrFXxA5wzljOYzWRImAtRgN0jAjWel9jnR3ZoTv0P5kedCCNjz3FJ2FhQCgXkAePdzyjambXhp5LvdzdyyCNg34zh4473TwBocbqMfDjtLMFljQyylqXySHKcB585VHZDGSzYyXk0oiP2Rt2vUAlNIuBitkPUO4IlY9pFoWlfmlzHtdTOkTTI8P5gqa7k56Yxz–Pb0DYy2QuvFpIgyLADMejyqoWJknb-dMcsXFE%3D

 

commentary (behind pay wall): 

http://www.nature.com/nature/journal/v518/n7540/full/518486a.html

 

news:

http://www.bbc.com/news/science-environment-31623427

 

http://www.nature.com/news/game-playing-software-holds-lessons-for-neuroscience-1.16979?WT.mc_id=FBK_NatureNews

 

See on Scoop.it – Biobit: Computational Neuroscience & Biocomputation

Leave a comment