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    Reinforcement Learning Summit - San Francisco - 17-18 February, 2022

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    Website https://go.evvnt.com/957244-4?pid=4800 | Want to Edit it Edit Freely

    Category Conferences;Engineering and Technology;Artificial Intelligence (AI)

    Deadline: February 16, 2022 | Date: February 17, 2022-February 18, 2022

    Venue/Country: Hotel Nikko San Francisco, U.S.A

    Updated: 2022-01-01 02:05:57 (GMT+9)

    Call For Papers - CFP

    The Reinforcement Learning Summit will explore the latest advancements in reinforcement learning and how the combination of this and deep learning is achieving the goal of human-level intelligence. Discover more from industry experts and leading researchers on how areas such as unsupervised learning, end-to-end algorithms, meta-learning and reward functions are advancing robotics, autonomous transportation, healthcare, cybersecurity and other industry sectors.

    URLs:

    Booking: https://go.evvnt.com/957244-0?pid=4800

    Tickets: https://go.evvnt.com/957244-2?pid=4800

    LinkedIn: https://go.evvnt.com/957244-3?pid=4800

    Facebook: https://go.evvnt.com/957244-5?pid=4800

    Date and Time: On Thu, Feb 17, 22 ( 8:00 AM) - Fri, Feb 18, 22 ( 3:00 PM)

    Venue details: Hotel Nikko San Francisco, 222 Mason Street, San Francisco, California, 94102, United States

    Price:

    Early Bird Pass: USD 1295.00

    Speakers: Sergey Levine Assistant Professor, UC Berkeley, Danny Lange, VP of AI and Machine Learning, Unity Technologies, Ban Kawas, Senior Research Scientist, Reinforcement Learning Meta, Aleksandra Faust, Senior Staff Research Scientist and RL Research Team Co-Founder, Google Brain, Daniel Wu, Head of Commercial Banking AI and Machine Learning, J.P. Morgan Chase, Amir Meisami, Senior Machine Learning Scientist, Adobe


    Keywords: Accepted papers list. Acceptance Rate. EI Compendex. Engineering Index. ISTP index. ISI index. Impact Factor.
    Disclaimer: ourGlocal is an open academical resource system, which anyone can edit or update. Usually, journal information updated by us, journal managers or others. So the information is old or wrong now. Specially, impact factor is changing every year. Even it was correct when updated, it may have been changed now. So please go to Thomson Reuters to confirm latest value about Journal impact factor.