Did you know that sometimes a minimax problem on a network can be formulated as a consensus problem? Yep, we were also pleasently surprised. See how in our new paper accepted on IEEE TCNS 👉ieeexplore.ieee.org/document/99137… saber jafarpour Francesco Bullo Mario di Bernardo

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.… 1/5

If you are attending L4DC Conference take a look at our work with Francesco De Lellis Mirco Musolesi Giovanni Russo and Marco Coraggio on control tutored reinforcement learning. [poster session 2, paper no 73]

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

Second and final day of the Team and Multiagent Dynamics workshop that ran in Naples over the past few days. Lots of interesting talks and discussions! Thanks everyone for attending! Onto the general meeting of the EU project sharespace.eu starting tomorrow!

Happy to host the general meeting of the EU project sharespace.eu here in Naples. Working on cognitive architectures based on feedback control and machine learning to drive avatars in hybrid shared spaces Horizon Europe 🇪🇺

Happy and exhausted after the general meeting of the EU project sharespace.eu Lots of things to think about and exciting work to be done!

Look back at the different partners coming together in Napels last week to discuss the progress of the SHARESPACE project. We are all excited for the current developments and the work ahead of us. #EUHorizon #SHARESPACE #XR #VR #SharedHybridSpaces #Innovation

Our partner institute Inria is hiring a VR/XR Engineer with experience in Unreal Engine to help develop the Sport scenario of the SHARESPACE project. Find more information about the postion here: jobs.inria.fr/public/classic… #EUHorizon #Research #XR #VR

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…

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

Looking to step-up your game with LaTeX, Word, and PowerPoint? 📃 Try Scientist's Matchbox, a free collection of carefully designed templates and guides to enhance scientific production. 👉 marco-coraggio.com/scientist-s-ma…

In our latest work with Francesco De Lellis Marco Coraggio and Giovanni Russo we delve into the problem of encoding information into the kinematics of robots and avatars driven by humans using a data-driven and learning approach. Check it out at arxiv.org/abs/2403.06557 sharespace.eu

Did you know you can guarantee performance requirements on a reinforcement learning policy by shaping the reward function? See how in our new article available today on IEEE TCST 👉 ieeexplore.ieee.org/document/10534… With Francesco De Lellis, Giovanni Russo, Mirco Musolesi, Mario di Bernardo

Our paper on guaranteeing control requirements in reinforcement learning via reward shaping is now out.

Reward shaping and control specifications. Read more in our latest work with Francesco De Lellis Marco Coraggio Giovanni Russo Mirco Musolesi on IEEE Control Systems Society TCST

How can virtual avatars encode human-like emotions in motion? Find it out on our latest work as part of the sharespace.eu project out now on the IEEE Control Systems Letters! ieeexplore.ieee.org/document/10559… IEEE Control Systems Society @IEEECDC2024 IFAC_Control #DataDrivenDecisions #VirtualReality #ML