Apprentissage par renforcement hors-ligne
en construction
Définition
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Offline Reinforcement Learning
Offline RL
Offline RL is a paradigm that learns exclusively from static datasets of previously collected interactions, making it feasible to extract policies from large and diverse training datasets. Effective offline RL algorithms have a much wider range of applications than online RL, being particularly appealing for real-world applications such as education, healthcare, and robotics.
Contributeurs: Patrick Drouin, wiki