AnyLogic Environment for Deep Reinforcement Learning Webinar

Ғылым және технология

Blog notes & downloads🔎 www.anylogic.com/blog/how-to-...
From the webinar: How to train a control policy using simulation and deep reinforcement learning by Dr. Arash Mahdavi from AnyLogic.
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Пікірлер: 7

  • @Saje_D
    @Saje_D Жыл бұрын

    Actually thank you Arash Mahdavi I really like your video of teaching how to use this software I hope you release more tutorial videos

  • @luethan7293
    @luethan72934 жыл бұрын

    Can you give me the link to the blog? About how to train the model in anylogic

  • @luethan7293

    @luethan7293

    4 жыл бұрын

    The video about the intersection model I found in the blog has only 3 minutes

  • @anylogic-simulation

    @anylogic-simulation

    4 жыл бұрын

    @@luethan7293 Hi Lu, yes the link to the blog featuring this video is in the description, as you found. With regards to the intersection model, you may find this blog and video interesting - www.anylogic.com/blog/anylogic-and-skymind-video-simulation-and-automated-deep-learning/ Video about the training platform for the intersection model - kzread.info/dash/bejne/d3yElpmtfZnJpMY.html

  • @adila9191
    @adila91913 жыл бұрын

    I understood the 12th element in the "observation". But, why are there 11 states in it? I could find 8 states from the model. Are branches included too?

  • @anylogic-simulation

    @anylogic-simulation

    3 жыл бұрын

    Hi Adil! Yes, you are correct and the branches are included, although it will be considered as superfluous information in the observation state. There are: 1 composite state (operating), 5 simple states, 2 final states, and 3 branches which will be 11 in total.

  • @adila9191

    @adila9191

    3 жыл бұрын

    @@anylogic-simulation Understood. Thanks for the explanation.

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