Tutorial on Explainable Reinforcement Learning (XRL)

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Tutorial on Explainable Reinforcement Learning (XRL)

Tutorial to explain Soft-Actor Critic agent through student decision tree and SHAP values applied at global and local level

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  • 1 Students Enrolled
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Courselet Content

1 components
Tutorial on Explainable Reinforcement Learning (XRL) (pdf)
536.53 K

Requirements

  • Knowledge on basic XAI and RL techniques, Python proficiency

General Overview

Description

Tutorial to explain Soft-Actor Critic agent through student decision tree and SHAP values applied at global and local level

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Meet the instructors !

instructor
About the Instructor

WP6 (Doctoral Training) coordinator and teacher in MSCA DIGITAL