Discover and read the best of Twitter Threads about #CoRL18

Most recents (1)

Our new #Corl18 paper:

How curiosity-driven autonomous goal setting enables to discover
independantly controllable features of environments

pdf: arxiv.org/abs/1807.01521

Blog: openlab-flowers.inria.fr/t/discovery-of…

Colab: colab.research.google.com/drive/176q8pns…

#machinelearning #AI #NeuralNetworks
Imagine a robot perceiving a scene through low-level pixels.

It has no prior knowledge of its body (it only knows it can send numerical
numbers as motor commands that produce unknown movements of unknow body parts)
It also does not know that the scene is composed of "objects". Yet, around it there are several objects: some of them can be controlled, others not (distractors)

How could it discover and represent entities, and find out which ones are controllable (and learn to control them)?
Read 24 tweets

Related hashtags

Did Thread Reader help you today?

Support us! We are indie developers!


This site is made by just two indie developers on a laptop doing marketing, support and development! Read more about the story.

Become a Premium Member ($3.00/month or $30.00/year) and get exclusive features!

Become Premium

Too expensive? Make a small donation by buying us coffee ($5) or help with server cost ($10)

Donate via Paypal Become our Patreon

Thank you for your support!