id
processing priority
3
site type
5 (wiki-type site, growing by topic rather than chronologically)
review version
11
html import
20 (imported)
first seen date
2024-08-09 03:57:27
expired found date
-
created at
2024-08-09 03:57:25
updated at
2024-08-10 19:02:44
length
28
crc
16705
tld
86
nm parts
0
nm random digits
0
nm rare letters
0
is subdomain of id
87719371 (github.io)
previous id
0
replaced with id
0
related id
-
dns primary id
0
dns alternative id
0
lifecycle status
0 (unclassified, or currently active)
deleted subdomains
0
page imported products
0
page imported random
0
page imported parking
0
count skipped due to recent timeouts on the same server IP
0
count content received but rejected due to 11-799
0
count dns errors
0
count cert errors
0
count timeouts
0
count http 429
0
count http 404
0
count http 403
0
count http 5xx
0
next operation date
-
server bits
—
server ip
-
mp import status
20
mp rejected date
-
mp saved date
-
mp size orig
8994
mp size raw text
2445
mp inner links count
6
mp inner links status
10 (links queued, awaiting import)
title
Home
description
image
site name
Deployable@CoRL2023
author
updated
2026-02-26 21:02:15
raw text
Home | Deployable@CoRL2023 Deployable@CoRL2023 Home Speakers Organizers Call for papers Schedule Papers Contact Us Towards Reliable and Deployable Learning-Based Robotic Systems Conference on Robot Learning 2023, Atlanta, USA Monday, Nov 6th, 2023 Full-day workshop The field of robot learning has made substantial progress in endowing robots with greater capability, yet the large-scale real-world adoption of learning-based robotic systems remains limited. This workshop aims to dissect this phenomenon and to identify best practices that could lead to a paradigm shift in how we conceive and build reliable learning-based robotic systems. We intend to guide our conversations with the following topics: What are the key challenges in deploying learning-based systems in the real world? What are the ingredients to ensure the reliability and robustness of learning-based robotic systems? How should we design learning algorithms that handle edge cases and unforeseen scena...
redirect type
0 (-)
block type
0 (no issues)
detected language
1 (English)
category id
Pozostałe (16)
index version
1
spam phrases
0
text nonlatin
0
text cyrillic
0
text characters
1921
text words
339
text unique words
210
text lines
73
text sentences
11
text paragraphs
2
text words per sentence
30
text matched phrases
0
text matched dictionaries
0
links self subdomains
0
links other subdomains
0
links other domains
1 - openreview.net
links spam adult
0
links spam random
0
links spam expired
0
links ext activities
0
links ext ecommerce
0
links ext finance
0
links ext crypto
0
links ext booking
0
links ext news
0
links ext leaks
0
links ext ugc
1
links ext klim
0
links ext generic
0
dol status
0
dol updated
2026-02-26 21:02:15
rss path
rss status
1 (priority 1 already searched, no matches found)
rss found date
-
rss size orig
0
rss items
0
rss spam phrases
0
rss detected language
0 (awaiting analysis)
inbefore feed id
-
inbefore status
0 (new)
sitemap path
sitemap status
1 (priority 1 already searched, no matches found)
sitemap review version
2
sitemap urls count
0
sitemap urls adult
0
sitemap filtered products
0
sitemap filtered videos
0
sitemap found date
-
sitemap process date
-
sitemap first import date
-
sitemap last import date
-