Reinforcement learning and bandits for speech and language processing: Tutorial, review and outlook

Author:

Lin BaihanORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference183 articles.

1. Apprenticeship learning via inverse reinforcement learning;Abbeel,2004

2. Reinforcement learning based recommender systems: A survey;Afsar;ACM Computing Surveys,2021

3. An optimistic perspective on offline reinforcement learning;Agarwal,2020

4. Agrawal, S., & Goyal, N. (2012). Analysis of Thompson Sampling for the Multi-armed Bandit Problem. In COLT 2012 - the 25th annual conference on learning theory (pp. 39.1–39.26).

5. Agrawal, S., & Goyal, N. (2013). Thompson Sampling for Contextual Bandits with Linear Payoffs. In ICML (3) (pp. 127–135).

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