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ELSIM: End-to-end learning of reusable skills through intrinsic
  motivation

ELSIM: End-to-end learning of reusable skills through intrinsic motivation

23 June 2020
A. Aubret
L. Matignon
S. Hassas
ArXivPDFHTML

Papers citing "ELSIM: End-to-end learning of reusable skills through intrinsic motivation"

3 / 3 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
34
35
0
19 Sep 2022
Direct then Diffuse: Incremental Unsupervised Skill Discovery for State
  Covering and Goal Reaching
Direct then Diffuse: Incremental Unsupervised Skill Discovery for State Covering and Goal Reaching
Pierre-Alexandre Kamienny
Jean Tarbouriech
Sylvain Lamprier
A. Lazaric
Ludovic Denoyer
SSL
40
18
0
27 Oct 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
362
11,700
0
09 Mar 2017
1