Next
Livestream will start soon!
Livestream has already ended.
Presentation has not been recorded yet!
  • title: How Far I’ll Go: Offline Goal-Conditioned RL via f-Advantage Regression
      0:00 / 0:00
      • Report Issue
      • Settings
      • Playlists
      • Bookmarks
      • Subtitles Off
      • Playback rate
      • Quality
      • Settings
      • Debug information
      • Server sl-yoda-v2-stream-008-alpha.b-cdn.net
      • Subtitles size Medium
      • Bookmarks
      • Server
      • sl-yoda-v2-stream-008-alpha.b-cdn.net
      • sl-yoda-v2-stream-008-beta.b-cdn.net
      • 1159783934.rsc.cdn77.org
      • 1511376917.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
            How Far I’ll Go: Offline Goal-Conditioned RL via f-Advantage Regression
            • Settings
            • Sync diff
            • Quality
            • Settings
            • Server
            • Quality
            • Server

            How Far I’ll Go: Offline Goal-Conditioned RL via f-Advantage Regression

            Nov 28, 2022

            Speakers

            JYM

            Jason Yecheng Ma

            Speaker · 0 followers

            JY

            Jason Yan

            Speaker · 0 followers

            DJ

            Dinesh Jayaraman

            Speaker · 0 followers

            About

            Offline goal-conditioned reinforcement learning (GCRL) promises general-purpose skill learning in the form of reaching diverse goals from purely offline datasets. We propose Goal-conditioned f-Advantage Regression (GoFAR), a novel regression-based offline GCRL algorithm derived from a state-occupancy matching perspective; the key intuition is that the goal-reaching task can be formulated as a state-occupancy matching problem between a dynamics-abiding imitator agent and an expert agent that dire…

            Organizer

            N2
            N2

            NeurIPS 2022

            Account · 953 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

            Single Loop Gaussian Homotopy for Non-convex Functions
            04:53

            Single Loop Gaussian Homotopy for Non-convex Functions

            Hidenori Iwakiri, …

            N2
            N2
            NeurIPS 2022 2 years ago

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

            GMMSeg: Gaussian Mixture based Generative Semantic Segmentation Models
            01:03

            GMMSeg: Gaussian Mixture based Generative Semantic Segmentation Models

            Chen Liang, …

            N2
            N2
            NeurIPS 2022 2 years ago

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

            Impact of realistic properties of the point spread function on classification tasks to reveal a possible distribution shift
            05:08

            Impact of realistic properties of the point spread function on classification tasks to reveal a possible distribution shift

            Patrick Müller, …

            N2
            N2
            NeurIPS 2022 2 years ago

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

            P2P: Tuning Pre-trained Image Models for Point Cloud Analysis with Point-to-Pixel Prompting
            05:00

            P2P: Tuning Pre-trained Image Models for Point Cloud Analysis with Point-to-Pixel Prompting

            Ziyi Wang, …

            N2
            N2
            NeurIPS 2022 2 years ago

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

            Invariance-Aware Randomized Smoothing Certificates
            05:00

            Invariance-Aware Randomized Smoothing Certificates

            Jan Schuchardt, …

            N2
            N2
            NeurIPS 2022 2 years ago

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

            A Greek Parliament Proceedings Dataset for Computational Linguistics and Political Analysis
            04:55

            A Greek Parliament Proceedings Dataset for Computational Linguistics and Political Analysis

            Konstantina Dritsa, …

            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