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K. Rene Traore proslijedio/la je Tweet
Researchers at our institute in
#Stuttgart have designed and fabricated an untethered#microrobot that is actuated through ultrasound. It's amazing#research that was published in@PNASNews: https://is.mpg.de/news/acoustically-driven-microrobot-outshines-natural-microswimmers …@maxplanckpress#CyberValley#robotics#AI#KI@metin_sittipic.twitter.com/kCRHWHbAT9Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
K. Rene Traore proslijedio/la je Tweet
What's in store for
@DLR_de this year? Research into the#Climate,#Mobility,#EnergyTransition, Tomorrow's Digital Society & more!



At our Annual Press Conference in #Berlin today, we presented our priorities for 2020 https://www.dlr.de/content/en/articles/news/2020/01/20200130_dlr-annual-press-conference.html …pic.twitter.com/lzRaVjwO6E
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K. Rene Traore proslijedio/la je Tweet
You can already try an experimental V3.0 of Stable Baselines with
@TensorFlow 2 support ;)! The library will be mostly rewritten while keeping the same api. Discussion: https://github.com/hill-a/stable-baselines/issues/576 … Experimental Repo (PPO, TD3): https://github.com/Stable-Baselines-Team/stable-baselines-tf2 … Colab: https://colab.research.google.com/drive/1JfK3rNTZHYghhWgq5uCr1-K7YwUwg2H7#scrollTo=59IgymjiAkZY …pic.twitter.com/1tob37FdFA
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K. Rene Traore proslijedio/la je TweetHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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K. Rene Traore proslijedio/la je Tweet
We are presenting our work "DisCoRL: Continual Reinforcement Learning via Policy Distillation" at the Deep Reinforcement Learning workshop today with
@ReneTraore2@casellesdupre T Sun, G Cai,@NataliaDiazRodr and@drFilliat A "CL for RL" method applicable on real robots!pic.twitter.com/m25ZuNOTlV
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If you are interested in Continual Learning, you should have a look to this - applies not only to Robotics but to other fields as well.https://twitter.com/TLesort/status/1201559418959208448 …
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K. Rene Traore proslijedio/la je Tweet
EfficientDet: Scalable and Efficient Object Detection. A new family of object detectors that achieves an order-of-magnitude better efficiency than prior art. +Large scale experiments from Google Brain https://arxiv.org/abs/1911.09070
#computervision#Roboticspic.twitter.com/9mflLs3q0b
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Taking advantage of unlabelled data via Knowledge Distillation allows to improve SOTA
https://twitter.com/quocleix/status/1194334947156193280 …
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K. Rene Traore proslijedio/la je Tweet
Self-supervised learning opens up a huge opportunity for better utilizing unlabelled data while learning in a supervised learning manner. My latest post covers many interesting ideas of self-supervised learning tasks on images, videos & control problems:https://lilianweng.github.io/lil-log/2019/11/10/self-supervised-learning.html …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
About the friendship & characters that 'made Google huge', and probably shaped modern Data Science (e.g Google Search Engine with BigTable & MapReduce, TensorFlow & Google Brain ...). Legendary !https://twitter.com/JeffDean/status/1069606809126793217 …
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K. Rene Traore proslijedio/la je Tweet
Stitch Fix on GitHub: *scipy.linalg.svd(user_likes_matrix)* Stitch Fix on LinkedIn:https://twitter.com/WIRED/status/1181437300414275584 …
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K. Rene Traore proslijedio/la je Tweet
Continuous Learning (CL) is built on the idea of learning continuously and adaptively about the external world and enabling the autonomous incremental development of ever more complex skills and knowledge.
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We merge State Representation Learning, Reinforcement Learning and Continual Learning to learn simple robotic tasks incrementally, and deploy them in real life! Check out our preprint: https://arxiv.org/abs/1907.05855
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Excited to share that our work "DisCoRL: Continual Reinforcement Learning via Policy Distillation", with
@casellesdupre ,@TLesort , T Sun, G. Cai,@NataliaDiazRodr,@drFilliat has been accepted to the Deep RL Workshop@NeurIPSConf 2019.Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
K. Rene Traore proslijedio/la je Tweet
You can now edit
, create
, save
, and move
files and folders
through file browser on the left.pic.twitter.com/71z82nihFEHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
K. Rene Traore proslijedio/la je Tweet
These short, open-access, must-read papers contain 200 tips to help PhD students and researchers learn the rules of the game: 100 PhD + 100 Research rules of the game. https://bit.ly/2CxcsRd and https://bit.ly/2JNbTsj #PhD#phdchat
#phdadvice#phdforum#phdlife#ecrchat#acwriHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
K. Rene Traore proslijedio/la je Tweet
Overjoyed to announce that I have N papers accepted to the [name of international conference on X]! [no details about the work or coauthors follow]
#conferencenameYYYYHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
K. Rene Traore proslijedio/la je Tweet
Neural architecture search (NAS) is an exciting topic (that allows non-experts to use deep learning in an easier way). To get a better overview, we started to compile a literature list related to NAS. Enjoy! http://www.ml4aad.org/literature-on-neural-architecture-search/ …
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K. Rene Traore proslijedio/la je Tweet
I am reviewing some CoRL (Conf. on Robot learning) and Humanoids papers (6 papers total). None of them are reporting tests with a real robot (only simulation) => When did the robotics community stop caring about actual robots? these papers should be submitted to SIGGRAPH!
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K. Rene Traore proslijedio/la je Tweet
For more context about EfficientNet, check out my earlier tweet:https://twitter.com/quocleix/status/1133833673134862337 …
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