Main

related bits

0

processing priority

3

site type

0 (generic, awaiting analysis)

review version

11

html import

20 (imported)

Events

first seen date

2025-05-13 04:08:40

expired found date

-

created at

2025-05-13 04:08:40

updated at

2026-02-26 16:59:16

Domain name statistics

length

18

crc

17544

tld

86

nm parts

0

nm random digits

0

nm rare letters

0

Connections

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)

Subdomains and pages

deleted subdomains

0

page imported products

0

page imported random

0

page imported parking

0

Error counters

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

server bits

server ip

-

Mainpage statistics

mp import status

20

mp rejected date

-

mp saved date

-

mp size orig

18327

mp size raw text

2865

mp inner links count

4

mp inner links status

10 (links queued, awaiting import)

Open Graph

title

Todor Davchev

description

About me

image

site name

Todor Davchev

author

updated

2026-02-27 20:59:28

raw text

Todor Davchev - Todor Davchev Todor Davchev Home Publications Teaching Blog Posts CV Todor Davchev PhD student in Robot Learning, University of Edinburgh Follow Edinburgh Email Twitter LinkedIn Github Google Scholar ORCID Todor Davchev I am a Research Scientist at DeepMind where I work on Robot Learning. I did my PhD at the University of Edinburgh , where I was part of the Robust Autonomy and Decisions (RAD) group. I also work closely with prof. S. Schaal and F. Meier and have completed two Google X AI residencies (project Intrinsic) and a research scientist internship with DeepMind. Broadly, my interests lie in the intersection of robotics and machine learning. In my PhD I focused on improving the sample efficiency and robustness of learnt models through utilising inductive biases in the context of robotics applications. In the past, I have studied ways of building such biases through learning modular and re-usable across tasks world model...

Text analysis

redirect type

0 (-)

block type

0 (no issues)

detected language

1 (English)

category id

Zastosowania AI (149)

index version

1

spam phrases

0

Text statistics

text nonlatin

0

text cyrillic

0

text characters

2236

text words

407

text unique words

227

text lines

77

text sentences

24

text paragraphs

4

text words per sentence

16

text matched phrases

0

text matched dictionaries

0

RSS

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

sitemap status

30 (processing completed, results pushed to table crawler_sitemaps.ext_domain_sitemap_lists)

sitemap review version

2

sitemap urls count

46

sitemap urls adult

0

sitemap filtered products

0

sitemap filtered videos

0

sitemap found date

2025-05-13 04:08:40

sitemap process date

2026-02-26 16:59:16

sitemap first import date

-

sitemap last import date

-