An Autonomous Multirobot Systems Course 
In 2015, The Georgia Institute of Technology organized and published this clever

Autonomous Multirobot Systems Course

A lot of AI and robotics studies and experiences about:

- Multiagent architectures.
- Communication, cooperation and coordination in multirobot systems.
- Diversity.
- Taxonomies of multirobot systems and tasks.
- Adversarial domains including robot soccer.
- Example biological multiagent systems.
- Multirobot learning.

Liked it very much.



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A WebGL experiment... and Merry Christmas 
Your WebGL advent calendar featuring everyday
a new experiment made with love by digital artists.



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A view of Leonardo da Vinci by me (us) 
On the 500th anniversary of the death of Leonardo da Vinci, organized with some friends of mine

on Saturday, November 9, 2019
A Meeting on: Leonardo, a versatile artist and systems engineer

On the 500th anniversary of the death of Leonardo da Vinci, countless conferences, exhibitions, events and conferences on this Renaissance genius in Italy and around the world have been organized throughout the year by a myriad of institutions, covering all the various aspects, aspects and true and presumed inheritances in the world of today of the activity of this great man.

At the invitation and suggestion of various members, the club Circolo Numismatico Monzese also wanted to organize an evening with Alberto on the subject, trying to suggest, as far as can be done in such a short time, a vision that highlights the personal holistic, practical and constant research that is behind his thoughts, his studies and his works, anticipating in his time the principles of modern technical artistic and scientific disciplines.

Speaker: Alberto Capponi
Friday 22 November 2019 - 8.45 pm
c/o RSA Bellani - Conference Room
Via Lipari 7 - MONZA



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Time is... 
Definitely, My favourite old fashioned time reference to adjust the watch. :-)

TIME.GOV


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Multi-agent reinforcement learning 
Trying to apply different MARL theories on different dynamic, partially cooperative environments..


Here is a short Paper list of multi-agent reinforcement learning (MARL) by Lan Tao Yu

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