Erwan LE PENNEC
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  • Posts
    • Data Science References
    • From Parallel Plot to Radar Plot
    • Visualization Examples
    • Supervised Classification: An Exploration with R and tidymodels
    • ggwordcloud (0.6.2): a word cloud geom for ggplot2
    • Supervised Classification: An Exploration with R
    • Mathematical Genealogy
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    • 2021-2022
    • 2020-2021
    • 2019-2020
    • 2018-2019
  • Bio
  • Blog
  • Research
  • Teaching
    • Causality, sensitivity and uncertainty
    • Clustering with mixture models and conditional density estimation
    • Detection and texture synthesis
    • PAC-Bayesian aggregation and NL-Means
    • Needlets and applications
    • L1 penalization
    • Copula density estimation
    • Maxisets for model selection
    • Bandlets
    • Publications
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    • Reinforcement learning
    • Health, signal and machine learning
    • Networks and machine learning
    • Machine learning for conservation science

On this page

  • Introduction to Reinforcement Learning (M2 DS)
  • Machine Learning 2 (3A, École polytechnique, M1 DSB)
  • MicroBig (Nanterre)
  • ATSI
  • ENSAE

2018-2019

· 1 min read
teaching-year

Introduction to Reinforcement Learning (M2 DS)

  • Slides from Sutton and Barto’s book
  • Proofs
  • List of articles

Machine Learning 2 (3A, École polytechnique, M1 DSB)

  • Polytechnique’s Moodle

MicroBig (Nanterre)

  • Lab and Slides

ATSI

  • Slides

ENSAE

  • Slides
Last updated on 2018/09/01

← 2019-2020

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