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Divergent representations of ethological visual inputs emerge from
  supervised, unsupervised, and reinforcement learning

Divergent representations of ethological visual inputs emerge from supervised, unsupervised, and reinforcement learning

3 December 2021
Grace W. Lindsay
J. Merel
T. Mrsic-Flogel
M. Sahani
    SSL
    DRL
ArXivPDFHTML

Papers citing "Divergent representations of ethological visual inputs emerge from supervised, unsupervised, and reinforcement learning"

2 / 2 papers shown
Title
A novel feature-scrambling approach reveals the capacity of
  convolutional neural networks to learn spatial relations
A novel feature-scrambling approach reveals the capacity of convolutional neural networks to learn spatial relations
A. Farahat
Felix Effenberger
M. Vinck
11
5
0
12 Dec 2022
Decoupling Representation Learning from Reinforcement Learning
Decoupling Representation Learning from Reinforcement Learning
Adam Stooke
Kimin Lee
Pieter Abbeel
Michael Laskin
SSL
DRL
284
341
0
14 Sep 2020
1