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

4 years ago Posted By : User Ref No: WURUR95886 0
  • Image
  • TypeConference
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  • Location San Francisco, California, United States
  • Price
  • Date 17-02-2022 - 18-02-2022
Reinforcement Learning Summit - San Francisco - 17-18 February, 2022, San Francisco, California, United States
Conference Title
Reinforcement Learning Summit - San Francisco - 17-18 February, 2022
Event Type
Conference
Conference Date
17-02-2022 to 18-02-2022
Location
San Francisco, California, United States
Organization Name / Organize By
RE•WORK
Organizing/Related Departments
RE•WORK
Organization Type
Event Organizing Company
ConferenceCategory
Non Technical
ConferenceLevel
All (State/Province/Region, National & International)
Related Industries

Engineering

Location
San Francisco, California, United States

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. 

 

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

Others Details

Booking: https://go.evvnt.com/957244-0?pid=6581

Registration Fees
Available
Registration Fees Details
Early Bird Pass: USD 1295.00
Registration Ways
Website
Address/Venue
Hotel Nikko San Francisco  222 Mason Street  Pin/Zip Code : 94102
Contact
Stef Ntagia

[email protected]