Next
Livestream will start soon!
Livestream has already ended.
Presentation has not been recorded yet!
  • title: Predictive Coding for Locally-Linear Control
      0:00 / 0:00
      • Report Issue
      • Settings
      • Playlists
      • Bookmarks
      • Subtitles Off
      • Playback rate
      • Quality
      • Settings
      • Debug information
      • Server sl-yoda-v3-stream-011-alpha.b-cdn.net
      • Subtitles size Medium
      • Bookmarks
      • Server
      • sl-yoda-v3-stream-011-alpha.b-cdn.net
      • sl-yoda-v3-stream-011-beta.b-cdn.net
      • 1150868944.rsc.cdn77.org
      • 1511650057.rsc.cdn77.org
      • Subtitles
      • Off
      • en
      • Playback rate
      • Quality
      • Subtitles size
      • Large
      • Medium
      • Small
      • Mode
      • Video Slideshow
      • Audio Slideshow
      • Slideshow
      • Video
      My playlists
        Bookmarks
          00:00:00
            Predictive Coding for Locally-Linear Control
            • Settings
            • Sync diff
            • Quality
            • Settings
            • Server
            • Quality
            • Server

            Predictive Coding for Locally-Linear Control

            Jul 12, 2020

            Speakers

            RS

            Rui Shu

            Speaker · 0 followers

            TN

            Tung Nguyen

            Speaker · 0 followers

            YC

            Yinlam Chow

            Speaker · 1 follower

            About

            High-dimensional observations and unknown dynamics are major challenges when applying optimal control to many real-world decision making tasks. The Learning Controllable Embedding (LCE) framework addresses these challenges by embedding the observations into a lower dimensional latent space, estimating the latent dynamics, and then performing control directly in the latent space. To ensure the learned latent dynamics are predictive of next-observations, all existing LCE approaches decode back int…

            Organizer

            I2
            I2

            ICML 2020

            Account · 2.6k followers

            Categories

            AI & Data Science

            Category · 10.8k presentations

            About ICML 2020

            The International Conference on Machine Learning (ICML) is the premier gathering of professionals dedicated to the advancement of the branch of artificial intelligence known as machine learning. ICML is globally renowned for presenting and publishing cutting-edge research on all aspects of machine learning used in closely related areas like artificial intelligence, statistics and data science, as well as important application areas such as machine vision, computational biology, speech recognition, and robotics. ICML is one of the fastest growing artificial intelligence conferences in the world. Participants at ICML span a wide range of backgrounds, from academic and industrial researchers, to entrepreneurs and engineers, to graduate students and postdocs.

            Like the format? Trust SlidesLive to capture your next event!

            Professional recording and live streaming, delivered globally.

            Sharing

            Recommended Videos

            Presentations on similar topic, category or speaker

            Thwarting Dr. Deceit's Malicious Activities in Conference Peer Review
            42:49

            Thwarting Dr. Deceit's Malicious Activities in Conference Peer Review

            Nihar B. Shah

            I2
            I2
            ICML 2020 5 years ago

            Total of 0 viewers voted for saving the presentation to eternal vault which is 0.0%

            Predicting and understanding human decisions
            39:32

            Predicting and understanding human decisions

            Thomas L. Griffiths

            I2
            I2
            ICML 2020 5 years ago

            Total of 0 viewers voted for saving the presentation to eternal vault which is 0.0%

            Fighting Copycat Agents in Behavioral Cloning from Multiple Observations
            05:28

            Fighting Copycat Agents in Behavioral Cloning from Multiple Observations

            Chuan Wen, …

            I2
            I2
            ICML 2020 5 years ago

            Total of 0 viewers voted for saving the presentation to eternal vault which is 0.0%

            Aggregation of Multiple Knockoffs
            15:43

            Aggregation of Multiple Knockoffs

            Tuan-Binh Nguyen, …

            I2
            I2
            ICML 2020 5 years ago

            Total of 0 viewers voted for saving the presentation to eternal vault which is 0.0%

            Opening Remarks - Workshop on Robustness & Uncertainty in Deep Learning
            03:36

            Opening Remarks - Workshop on Robustness & Uncertainty in Deep Learning

            Sharon Yixuan Li, …

            I2
            I2
            ICML 2020 5 years ago

            Total of 0 viewers voted for saving the presentation to eternal vault which is 0.0%

            Implicit Geometric Regularization for Learning Shapes
            11:17

            Implicit Geometric Regularization for Learning Shapes

            Amos Gropp, …

            I2
            I2
            ICML 2020 5 years ago

            Total of 0 viewers voted for saving the presentation to eternal vault which is 0.0%

            Interested in talks like this? Follow ICML 2020