From Microsoft Research: The past few years have seen tremendous progress in reinforcement learning (RL). From complex games to robotic object manipulation, RL has qualitatively advanced the state of the art. However, modern RL techniques require a lot for success: a largely deterministic stationary environment, an accurate resettable simulator in which mistakes – and especially their consequences – are limited to the virtual sphere, powerful computers, and a lot of energy to run them. At Microsoft Research, we are working towards automatic decision-making approaches that bring us closer to the vision of AI agents capable of learning and acting autonomously in changeable open-world conditions using the limited onboard compute. Project Frigatebird is our ambitious quest in this space, aimed at building intelligence that can enable…
from http://diydrones.com/xn/detail/705844:BlogPost:3902804
from
https://worldbydrone.tumblr.com/post/611485512801419264
From https://arlettecatalano.blogspot.com/2020/03/microsoft-releases-pixhawk-based.html
from
https://arlettecatalano.wordpress.com/2020/03/02/microsoft-releases-pixhawk-based-autonomous-soaring-drone-code/
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