Data-Driven Robotics

Search this site A Framework for Data-Driven Robotics Serkan Cabi, Sergio Gómez Colmenarejo, Alexander Novikov, Ksenia Konyushkova, Scott Reed, Rae Jeong, Konrad Żołna, Yusuf Aytar, David Budden, Mel Vecerik, Oleg Sushkov, David Barker, Jon Scholz, Misha Denil, Nando de Freitas, Ziyu Wang 📃Paper 📃 Large-scale machine learning is one of the greatest triumphs of artificial intelligence in the last decade. The recipe for success typically involves the following ingredients: a large deep network,

5 mentions: @DeepMindAI@serkancabi@SashaVNovikov@luckflow
Keywords: robotics
Date: 2019/09/27 15:48

Referring Tweets

@serkancabi How can robots learn from humans and their own experience to manipulate objects using vision? Here is our take on the problem: t.co/dJk0GKkxX3 t.co/Qk2t9dvvF8 t.co/E5gN5eXceI
@DeepMindAI In our new work, we propose a framework for humans teaching robots to accomplish tasks using visual inputs: t.co/7NBma4k3GI t.co/RGAJ9l9yYc
@SashaVNovikov 1/ Proud to be a part of this work! We train batch RL agents to solve robotic manipulation tasks from pixels on a real robot. t.co/JKikqSyE1b t.co/lgxIqr6XB0 t.co/cCitRKV12L t.co/qE63ULfXNU
@luckflow In our new work, we propose a framework for humans teaching robots to accomplish tasks using visual inputs: t.co/ene1mCecie t.co/ugdP2VmazN

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