Hello Michal, Machine learning is a very wide area. I would like to know what kind of machine learning you are using for the self-learning agent for traffic lights. Maybe you could share some thoughts.
I recently made a control application based on reinforcement learning in Python. It’s just a quick try but it seems to work. The goal was to make the perfect control application, so it’s far from complete and not trained to get the best results. I only use this for other machine learning studies. The control application works on the vehicle data produced by SUMO. Best regards, Martin Barto Sr. Verkeerskundige Mobiliteit [cid:[email protected]]<http://www.vialis.nl/> [cid:[email protected]] <https://www.volkerwessels.com/nl/over-ons/corporate-responsibility/veiligheid/wees-alert-veiligheid-eerst> Vialis<http://www.vialis.nl> is een Koninklijke VolkerWessels<https://www.volkerwessels.com/> onderneming. Postbus 184, 3990 DD Houten | tel. +31648510557 mob. +31648510557 [http://www.vialis.nl]<http://www.vialis.nl/> [http://www.linkedin.com/company/vialis]<http://www.linkedin.com/company/vialis> [https://twitter.com/vialisbv]<https://twitter.com/vialisbv> [http://www.youtube.com/user/VialisBV]<http://www.youtube.com/user/VialisBV> . . Van: [email protected] <[email protected]> Namens Michal Lis Verzonden: vrijdag 2 november 2018 12:34 Aan: [email protected] Onderwerp: [sumo-user] Environment of machine learning Hello community. I would like to write a self-learning agent for traffic light environment. It seemed for me that SUMO is the most popular one. However I cannot find any SUMO traffic model that was used to machine learning several times by different users. It would be very helpful if I could compare my results with someone's else. ________________________________ Look here for our e-mail disclaimer: http://cp.vialis.nl/disclaimer.html
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