Next
Livestream will start soon!
Livestream has already ended.
Presentation has not been recorded yet!
  • title: Agnostic $Q$-learning with Function Approximation in Deterministic Systems: Tight Bounds on Approximation Error and Sample Complexity
      0:00 / 0:00
      • Report Issue
      • Settings
      • Playlists
      • Bookmarks
      • Subtitles Off
      • Playback rate
      • Quality
      • Settings
      • Debug information
      • Server sl-yoda-v3-stream-015-alpha.b-cdn.net
      • Subtitles size Medium
      • Bookmarks
      • Server
      • sl-yoda-v3-stream-015-alpha.b-cdn.net
      • sl-yoda-v3-stream-015-beta.b-cdn.net
      • 1963568160.rsc.cdn77.org
      • 1940033649.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
            Agnostic $Q$-learning with Function Approximation in Deterministic Systems: Tight Bounds on Approximation Error and Sample Complexity
            • Settings
            • Sync diff
            • Quality
            • Settings
            • Server
            • Quality
            • Server

            Agnostic $Q$-learning with Function Approximation in Deterministic Systems: Tight Bounds on Approximation Error and Sample Complexity

            Dec 6, 2020

            Speakers

            SSD

            Simon S. Du

            Speaker · 3 followers

            RW

            Ruosong Wang

            Speaker · 0 followers

            JDL

            Jason D. Lee

            Speaker · 1 follower

            Organizer

            N2
            N2

            NeurIPS 2020

            Account · 11.6k followers

            Categories

            AI & Data Science

            Category · 10.8k presentations

            Mathematics

            Category · 2.4k presentations

            About NeurIPS 2020

            Neural Information Processing Systems (NeurIPS) is a multi-track machine learning and computational neuroscience conference that includes invited talks, demonstrations, symposia and oral and poster presentations of refereed papers. Following the conference, there are workshops which provide a less formal setting.

            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

            Meta-trained agents implement Bayes-optimal agents
            10:21

            Meta-trained agents implement Bayes-optimal agents

            Vlad Mikulik, …

            N2
            N2
            NeurIPS 2020 4 years ago

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

            MetaPoison: Practical General-purpose Clean-label Data Poisoning
            03:17

            MetaPoison: Practical General-purpose Clean-label Data Poisoning

            Jonas Geiping, …

            N2
            N2
            NeurIPS 2020 4 years ago

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

            Neural Networks Fail to Learn Periodic Functions and How to Fix It
            03:23

            Neural Networks Fail to Learn Periodic Functions and How to Fix It

            Ziyin Liu, …

            N2
            N2
            NeurIPS 2020 4 years ago

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

            Challenging common interpretability assumptions in feature attribution explanations
            05:10

            Challenging common interpretability assumptions in feature attribution explanations

            Jonathan Dinu, …

            N2
            N2
            NeurIPS 2020 4 years ago

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

            CogMol: Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models
            03:18

            CogMol: Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models

            Vijil Chenthamarakshan, …

            N2
            N2
            NeurIPS 2020 4 years ago

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

            Diversity can be Transferred: Output Diversification for White- and Black-box Attacks
            03:19

            Diversity can be Transferred: Output Diversification for White- and Black-box Attacks

            Yusuke Tashiro, …

            N2
            N2
            NeurIPS 2020 4 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 2020