RLVS 2021 - Day 6 - RL in practice: tips & tricks and practical session with stable-baselines3
Speaker: Antonin Raffin
Chairman: David Bertoin
Abstract. The aim of the session is to help you do reinforcement learning experiments. The first part covers general advice about RL, tips, and tricks, and details three examples where RL was applied on real robots. The second part will be a practical session using the Stable-Baselines3 library.
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Reinforcement Learning Virtual School (March and April 2021).
https://rl-vs.github.io/rlvs2021/
Organized by the Toulouse AI institute ANITI, with the support of IRT Saint Exupéry, ISAE-SUPAERO, LAAS-CNRS, Université Fédérale Toulouse Midi-Pyrénées.
https://aniti.univ-toulouse.fr
https://www.irt-saintexupery.com/
https://www.isae-supaero.fr
https://www.laas.fr/
https://www.univ-toulouse.fr/
Officially sponsored by DeepMind.
https://deepmind.com/
We also thank Institut de Mathématiques de Toulouse - Université Toulouse III - Paul Sabatier, Toulouse School of Economics - Université Toulouse I - Capitole.
https://www.math.univ-toulouse.fr/
https://www.univ-tlse3.fr/
https://www.tse-fr.eu/fr
https://www.ut-capitole.fr/
This virtual event took place in March and April 2021. It gathered 1500 registered participants from 43 different countries.