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NoML Digest@noml_digest P.730
NOML_DIGEST Telegram 730
Про RL

Запись вчерашнего семинара скоро будет, а пока список литературы и материалов из доклада Сергея:

Книги:
▫️ R.S. Sutton, A.G. Barto, Reinforcement Learning, 2018, есть перевод (~550 стр.);
▫️ M. Lapan, Deep Reinforcement Learning Hands-On, 2020, есть перевод (~540 стр.);
▫️ L. Graesser, W.L. Keng, Foundations of Deep Reinforcement Learning, есть перевод (~410 стр.).

Вводная статья:
▫️ B. Jaeger, A. Geiger, An Invitation to Deep Reinforcement Learning, 2023 (38 стр.).

Курс:
▫️ Deep Reinforcement Learning Course

Кейс команды GlowByte Advanced Analytics:
▫️ Как Reinforcement Learning помогает ритейлерам, 2020 (14 минут).

И еще пара статей:
▫️ Y. Lin et al., A Survey on Reinforcement Learning for Recommender Systems, 2021 (20 стр., ~1,5 часа);
▫️ F. Chen et al., BCRLSP: An Offline Reinforcement Learning Framework for Sequential Targeted Promotion, 2022 (7 стр., ~30-40 минут).



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Про RL

Запись вчерашнего семинара скоро будет, а пока список литературы и материалов из доклада Сергея:

Книги:
▫️ R.S. Sutton, A.G. Barto, Reinforcement Learning, 2018, есть перевод (~550 стр.);
▫️ M. Lapan, Deep Reinforcement Learning Hands-On, 2020, есть перевод (~540 стр.);
▫️ L. Graesser, W.L. Keng, Foundations of Deep Reinforcement Learning, есть перевод (~410 стр.).

Вводная статья:
▫️ B. Jaeger, A. Geiger, An Invitation to Deep Reinforcement Learning, 2023 (38 стр.).

Курс:
▫️ Deep Reinforcement Learning Course

Кейс команды GlowByte Advanced Analytics:
▫️ Как Reinforcement Learning помогает ритейлерам, 2020 (14 минут).

И еще пара статей:
▫️ Y. Lin et al., A Survey on Reinforcement Learning for Recommender Systems, 2021 (20 стр., ~1,5 часа);
▫️ F. Chen et al., BCRLSP: An Offline Reinforcement Learning Framework for Sequential Targeted Promotion, 2022 (7 стр., ~30-40 минут).

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