Next
Livestream will start soon!
Livestream has already ended.
Presentation has not been recorded yet!
  • title: Robust Forecasting for Robotic Control: A Game-Theoretic Approach
      0:00 / 0:00
      • Report Issue
      • Settings
      • Playlists
      • Bookmarks
      • Subtitles Off
      • Playback rate
      • Quality
      • Settings
      • Debug information
      • Server sl-yoda-v2-stream-002-alpha.b-cdn.net
      • Subtitles size Medium
      • Bookmarks
      • Server
      • sl-yoda-v2-stream-002-alpha.b-cdn.net
      • sl-yoda-v2-stream-002-beta.b-cdn.net
      • 1001562353.rsc.cdn77.org
      • 1075090661.rsc.cdn77.org
      • Subtitles
      • Off
      • English
      • Playback rate
      • Quality
      • Subtitles size
      • Large
      • Medium
      • Small
      • Mode
      • Video Slideshow
      • Audio Slideshow
      • Slideshow
      • Video
      My playlists
        Bookmarks
          00:00:00
            Robust Forecasting for Robotic Control: A Game-Theoretic Approach
            • Settings
            • Sync diff
            • Quality
            • Settings
            • Server
            • Quality
            • Server

            Robust Forecasting for Robotic Control: A Game-Theoretic Approach

            Dec 2, 2022

            Speakers

            SA

            Shubhankar Agarwal

            Speaker · 0 followers

            DF

            David Fridovich-Keil

            Speaker · 0 followers

            SPC

            Sandeep P. Chinchali

            Speaker · 0 followers

            About

            Modern robots require accurate forecasts to make optimal decisions in the real world. For example, self-driving cars need an accurate forecast of other agents' future actions to plan safe trajectories. Current methods rely heavily on historical time series to accurately predict the future. However, relying entirely on the observed history is problematic since it could be corrupted by noise, have outliers, or not completely represent all possible outcomes. We propose a novel framework for generat…

            Organizer

            N2
            N2

            NeurIPS 2022

            Account · 954 followers

            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

            Regret Bounds for Risk-Sensitive Reinforcement Learning
            04:49

            Regret Bounds for Risk-Sensitive Reinforcement Learning

            Osbert Bastani, …

            N2
            N2
            NeurIPS 2022 2 years ago

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

            Is the Next Winter Coming for AI?The Elements of Making Secure and Robust AI
            13:21

            Is the Next Winter Coming for AI?The Elements of Making Secure and Robust AI

            Josh Harguess, …

            N2
            N2
            NeurIPS 2022 2 years ago

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

            Automatic Evaluation of Excavator Operators using Learned Reward Functions
            03:34

            Automatic Evaluation of Excavator Operators using Learned Reward Functions

            Pranav Agarwal, …

            N2
            N2
            NeurIPS 2022 2 years ago

            Total of 1 viewers voted for saving the presentation to eternal vault which is 0.1%

            Improved techniques for deterministic l2 robustness
            04:50

            Improved techniques for deterministic l2 robustness

            Sahil Singla, …

            N2
            N2
            NeurIPS 2022 2 years ago

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

            Benefits of Permutation-Equivariance in Auction Mechanisms
            04:50

            Benefits of Permutation-Equivariance in Auction Mechanisms

            Tian Qin, …

            N2
            N2
            NeurIPS 2022 2 years ago

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

            Open-Ended Reinforcement Learning with Neural Reward Functions
            05:05

            Open-Ended Reinforcement Learning with Neural Reward Functions

            Robert Meier, …

            N2
            N2
            NeurIPS 2022 2 years ago

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

            Interested in talks like this? Follow NeurIPS 2022