[~Re] Exploration in Model-based Reinforcement Learning by Empirically Estimating Learning Progress

Authors

Mehdi Khamassi (ORCID: https://orcid.org/0000-0002-2515-1046)
Jean‐Pierre Nadal (ORCID: https://orcid.org/0000-0003-0022-0647)
Augustin Chartouny (ORCID: https://orcid.org/0009-0003-0583-4290)

Institutions

École Normale Supérieure - PSL (FR)
Sorbonne Université (FR)
Centre d'Analyse et de Mathématique Sociales (FR)
Laboratoire de Physique de l'Ecole Normale Supérieure (FR)
Institut Systèmes Intelligents et de Robotique (FR)

Publication Details

Journal: SPIRE - Sciences Po Institutional REpository
Published: 2024-09-02
DOI: https://doi.org/10.5281/zenodo.13627804
Citations: 2
Primary Topic: Reinforcement Learning in Robotics
Type: article
Field-Weighted Citation Impact: 0.69

Funders

Agence Nationale de la Recherche

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article

[~Re] Exploration in Model-based Reinforcement Learning by Empirically Estimating Learning Progress

Mehdi Khamassi, Jean‐Pierre Nadal, Augustin Chartouny

Sep 2, 2024

2 citations

SPIRE - Sciences Po Institutional REpository

Reinforcement Learning in Robotics

0.69

article

[~Re] Exploration in Model-based Reinforcement Learning by Empirically Estimating Learning Progress

Mehdi Khamassi, Jean‐Pierre Nadal, Augustin Chartouny

September 2, 2024article en

2 citations

Abstract

No abstract available for this paper.

SPIRE - Sciences Po Institutional REpository

École Normale Supérieure - PSL (FR), Sorbonne Université (FR), Centre d'Analyse et de Mathématique Sociales (FR), Laboratoire de Physique de l'Ecole Normale Supérieure (FR), Institut Systèmes Intelligents et de Robotique (FR)

Agence Nationale de la Recherche

Openalex Percentile: Top 23%

Reinforcement Learning in Robotics

0.69

DOI Open Access PDF OpenAlex

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