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kallol-saha/DISCO

Official code for DISCO: Distilled Tree Search over Continuous Actions (CoRL 2026 Oral)

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Python
5
1 contributors
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Momentum

How fast kallol-saha/DISCO is gaining stars, and where it lands on Trendshift and GitHub Trending

Activity and trending

Stars, forks and merged pull requests each day or month, lined up with the repository's rank on Trendshift Trending

Nov 3 – Nov 4, 2026

Stars +6 in 2 days

0246
6

Forks +0 in 2 days

01

Merged PRs 0 in 2 days

01

Trendshift Trendingwhere the repository ranked each day it made the top 25

Not in the Trendshift top 25 in this period

Nov 3Nov 4
The left and right arrow keys step from day to day; Home and End go to the first and the last

Stars, forks, merged pull requests and Trendshift Trending rank, by day
DayStars gainedForks gainedMerged PRs
Tue, Nov 3, 2026+0+00
Wed, Nov 4, 2026+6+00
Total+6+00
  • 1#1 on the list
  • 7Rank that day
  • Not trending

Social mentions

Recent discussions about this repository across the web
  1. Nov 43 posts

    • DISCO leads at every simulation budget. Best final success: 100% on packing and 98% on stacking, against 88% and 92% for the next best method It keeps 100% success at every object count (up to 7…

      Read full on X, posted by @robotsdigest

      @robotsdigest · x.com

    • For the past year, I’ve been very excited about bringing the AlphaGo recipe to robot learning. I’m deeply grateful to my advisors, Prof. Maxim Likhachev and Prof. @davheld, and my collaborators…

      Read full on X, posted by @_ksaha

      @_ksaha · x.com

    • For the past year, I’ve been very excited about bringing the AlphaGo recipe to robot learning. I’m deeply grateful to my advisors, Prof. Maxim Likhachev and Prof. @davheld, and my collaborators…

      Read full on X, posted by @_ksaha

      @_ksaha · x.com