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openai
random-network-distillation
Python2018–2018
openai / random-network-distillation · Archived

random-network-distillation

Code for the paper "Exploration by Random Network Distillation"

2Distinct people
2Mentions
0Explicit recommenders
930GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Code for the paper "Exploration by Random Network Distillation"

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 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 3:56:07 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: 2018-10-31 19:03:02 UTC to 2018-10-31 19:34:21 UTC.

0122018-10-31 19:00:00 UTC to 2018-10-31 20:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 commentsOct 31, 19:00

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC. One observed period does not establish a trend.

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 31, 19:002018-10-31 19:00:00 UTC2018-10-31 20:00:00 UTC202

What Hacker News says

2 sources
(I work at OpenAI.) The code is linked from the top of the blog post: https://github.com/openai/random-network-distillation. While we do produce lots of open-source code, our mandate is much broader than that: https://blog.openai.com/openai-charter/. We are attempting to build safe AGI and distribute its benefits. In the short term, that means we focus on building working systems and will sometimes, but not always, release source code. In the long term, per the charter: "we expect that safety and security concerns will reduce our traditional publishing in the future, while increasing the importance of sharing safety, policy, and standards research."
In Reinforcement Learning with Prediction-Based Rewards

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