🤖Precise deployment of #robotic swarms is hard, with Gian Carlo Maffettone we got a great solution!
Check it out in our article with Mario di Bernardo, Marco Coraggio and Davide Fiore at frontiersin.org/articles/10.33…
In the video an experiment with the Robotarium.
One of the issues with reinforcement learning is guaranteeing performance requirements on the learned policy.
Turns out you can shape the rewards to do so.
See how in our preprint:
👉 arxiv.org/abs/2311.10026
With Francesco De Lellis Giovanni Russo Mirco Musolesi Mario di Bernardo
Talking about automation, control and optimization at Naples Port Authority for a possible research project! Lots of interesting problems to look at! #logistica #automation #controltheory
Mario di Bernardo Mirco Musolesi iunio iervolino Warner Marzocchi Francesco Bullo Maurizio Porfiri Aldo Zollo And check out just a sample of the amazing research activity going on here ssmeridionale.it/en-us/dottorat…
Designing optimal graphs for complex networks is hard, especially when node dynamics is uncertain or unkown.
So why not let data come to the rescue?
See how in our latest preprint with Mario di Bernardo
👉 arxiv.org/abs/2309.10941
Massive congrats to our new Dr Davide Salzano, it has been a real pleasure to supervise your project on multicellular control with Mario di Bernardo Nigel Savery Claire G
Invite you to read our articles in Volume 3 Issue 4 #CES
Details: oaepublish.com/volumes/comeng…
cover article: oaepublish.com/articles/ces.2…
Welcome to read and share~
cc Semisance SummarizedML OAE Publishing
YangQuan Chen Mario di Bernardo Mario di Bernardo Ahmed Christopher M Kellett
Interesting special section of Annual Reviews in Control. To be checked out Marco Coraggio Francesco De Lellis
On my way to Germany for a quick visit. First stop in Berlin to visit Sabine Klapp’s lab at TU Berlin that Andrea Lama is currently visiting. Then on to Hamburg for the review meeting of sharespace.eu Looking forward to all the interesting talks!
Thomas Gorochowski Andrea Giusti Unina Federico II Thanks again Tom for hosting Andrea in your lab!
This afternoon (ET) our paper 'CT-DQN: Control-Tutored Deep Reinforcement Learning' will be presented at L4DC Conference 2023.
Paper: proceedings.mlr.press/v211/de-lellis…
Program of the event: l4dc.seas.upenn.edu
\w Francesco De Lellis Marco Coraggio Giovanni Russo Mario di Bernardo
#L4DC2023
New paper with Francesco De Lellis, Marco Coraggio, Giovanni Russo and Mario di Bernardo to be presented at L4DC Conference 2023: 'CT-DQN: Control-Tutored Deep Reinforcement Learning'.
Link to the paper: mircomusolesi.org/papers/l4dc23.…
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UCDavisCOE: RT Nature Reviews Physics: Perspective: Controlling complex networks with complex nodes, by Raissa M D’Souza (@UCDavisCOE, UCD Computer Science), Mario di Bernardo & Yang Liu
rdcu.be/c8uK5
SHARESPACE partners Marco Coraggio, Francesco De Lellis and Mario di Bernardo published the paper 'CT-DQN: Control-Tutored Deep Reinforcement Learning', which supports the development of the cognitive architectures for our virtual avatars. Read it here: proceedings.mlr.press/v211/de-lellis…
Mario di Bernardo Unina Federico II Thomas Gorochowski Thank you both for supporting me this far 💯
Perspective: Controlling complex networks with complex nodes, by Raissa M D’Souza (UC Davis College of Engineering, UCD Computer Science), Mario di Bernardo & Yang Liu
rdcu.be/c8uK5
Meet 'Cheetah,' an easy-to-use deep learning-based algorithm for single cell monitoring and control.
From Elisa Pedone, Lucia Marucci, Thomas Gorochowski, Mario di Bernardo and colleagues BristolEngMaths Bristol BioDesign Institute
pubs.acs.org/doi/10.1021/ac…
#cybergenetics
#toolkit
#tbt
