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DisTop: Discovering a Topological representation to learn diverse and
  rewarding skills

DisTop: Discovering a Topological representation to learn diverse and rewarding skills

6 June 2021
A. Aubret
L. Matignon
S. Hassas
ArXivPDFHTML

Papers citing "DisTop: Discovering a Topological representation to learn diverse and rewarding skills"

5 / 5 papers shown
Title
An information-theoretic perspective on intrinsic motivation in
  reinforcement learning: a survey
An information-theoretic perspective on intrinsic motivation in reinforcement learning: a survey
A. Aubret
L. Matignon
S. Hassas
31
35
0
19 Sep 2022
Time to augment self-supervised visual representation learning
Time to augment self-supervised visual representation learning
A. Aubret
M. Ernst
Céline Teulière
Jochen Triesch
28
10
0
27 Jul 2022
Goal-Space Planning with Subgoal Models
Goal-Space Planning with Subgoal Models
Chun-Ping Lo
Kevin Roice
Parham Mohammad Panahi
Scott M. Jordan
Adam White
Gábor Mihucz
Farzane Aminmansour
Martha White
11
5
0
06 Jun 2022
Self-supervised Reinforcement Learning with Independently Controllable
  Subgoals
Self-supervised Reinforcement Learning with Independently Controllable Subgoals
Andrii Zadaianchuk
Georg Martius
Fanny Yang
SSL
64
16
0
09 Sep 2021
Decoupling Representation Learning from Reinforcement Learning
Decoupling Representation Learning from Reinforcement Learning
Adam Stooke
Kimin Lee
Pieter Abbeel
Michael Laskin
SSL
DRL
284
339
0
14 Sep 2020
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