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Intrinsic motivations and open-ended learning

Intrinsic motivations and open-ended learning

31 December 2019
Gianluca Baldassarre
    AI4CE
ArXivPDFHTML

Papers citing "Intrinsic motivations and open-ended learning"

3 / 3 papers shown
Title
Self-supervised network distillation: an effective approach to
  exploration in sparse reward environments
Self-supervised network distillation: an effective approach to exploration in sparse reward environments
Matej Pecháč
M. Chovanec
Igor Farkaš
32
3
0
22 Feb 2023
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
39
35
0
19 Sep 2022
AI Autonomy : Self-Initiated Open-World Continual Learning and
  Adaptation
AI Autonomy : Self-Initiated Open-World Continual Learning and Adaptation
Bing-Quan Liu
Sahisnu Mazumder
Eric Robertson
Scott Grigsby
CLL
AI4CE
38
21
0
17 Mar 2022
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