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microsoft
PACT
Python2022–2022
microsoft / PACT

PACT

Perception-Action Causal Transformer

AI & Machine Learning
Explore on GitHubRead Hacker News discussions
2Distinct people
2Mentions
0Explicit recommenders
68GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Perception-Action Causal Transformer

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 8–Nov 15 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/15/2026, 8:03:49 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by hour2 dated mentions

Observed mentions: 2022-10-27 22:44:41 UTC to 2022-10-28 04:31:26 UTC.

012022-10-27 22:00:00 UTC to 2022-10-27 23:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsOct 27, 22:002022-10-27 23:00:00 UTC to 2022-10-28 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-10-28 00:00:00 UTC to 2022-10-28 01:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-10-28 01:00:00 UTC to 2022-10-28 02:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsOct 28, 01:002022-10-28 02:00:00 UTC to 2022-10-28 03:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-10-28 03:00:00 UTC to 2022-10-28 04:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-10-28 04:00:00 UTC to 2022-10-28 05:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsOct 28, 04:00

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
Oct 27, 22:002022-10-27 22:00:00 UTC2022-10-27 23:00:00 UTC101
Oct 27, 23:002022-10-27 23:00:00 UTC2022-10-28 00:00:00 UTC000
Oct 28, 00:002022-10-28 00:00:00 UTC2022-10-28 01:00:00 UTC000
Oct 28, 01:002022-10-28 01:00:00 UTC2022-10-28 02:00:00 UTC000
Oct 28, 02:002022-10-28 02:00:00 UTC2022-10-28 03:00:00 UTC000
Oct 28, 03:002022-10-28 03:00:00 UTC2022-10-28 04:00:00 UTC000
Oct 28, 04:002022-10-28 04:00:00 UTC2022-10-28 05:00:00 UTC101

What Hacker News says

1 sources
CheapBreakfast9·Oct 27, 2022
Generative self-supervised model for robotics data. Highlights: - Transformer model for autoregressive prediction of states and actions over time to implicitly encode dynamics and behaviors for a particular robot - The representation learned can be fine-tuned to distinct tasks (navigation, mapping, localization) with minimal data - The base transformer model serves as a generative robotics model, similarly to GPT-3, and can be prompted to result in different robot behaviors Paper: https://arxiv.org/abs/2209.11133 Video: https://youtu.be/mNQvQu_atuw Code and data: https://github.com/microsoft/PACT
In [dead]

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