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InfoQ Homepage Presentations Breakthroughs and the Future of (Deep) Reinforcement Learning

Breakthroughs and the Future of (Deep) Reinforcement Learning

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Summary

Andreas Bühlmeier discusses the foundation of Reinforced Learning and demonstrates how it is implemented. Also, he shows how to track and understand a system’s learning progress.

Bio

Andreas Bühlmeier has published several papers and also contributed to the Entwickler Magazin special edition on Machine Learning. Currently, he mainly works in big data analysis for cyber security and for medical devices maintenance. In another project, he uses adaptive techniques in the area of document processing.

About the conference

Big Data Conference Europe is a three-day conference with technical talks in the fields of Big Data, High Load, Data Science, Machine Learning and AI.

Recorded at:

Feb 17, 2020

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Community comments

  • Unable to access slides

    by Olivier Perrin /

    Your message is awaiting moderation. Thank you for participating in the discussion.

    Hi,

    it's not possible to get the slides (access rights problem).

    Thanks,
    Best
    Olivier

  • Re: Unable to access slides

    by Anamaria Bota /

    Your message is awaiting moderation. Thank you for participating in the discussion.

    Hi Olivier,
    Thank you for drawing our attention to this error. It is now fixed. Enjoy watching the video!
    Best regards,
    Anamaria Bota
    Account & Project Manager
    InfoQ Enterprise Software Development Community InfoQ.com | InfoQ China | InfoQ Japan | InfoQ Brazil | InfoQ France | QCon

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