Date
March 24 (Wed) at 13:00 - 14:00, 2021 (JST)
Speaker
Venue
  • via Zoom
Language
English

Reinforcement Learning (RL) is a scheme of Machine Learning that is applicable "without training data." Instead, we prepare a "world" that agents (learners) can probe, and try to optimize their behavior. Historically, study of RL has deep connection to studies of psychology and neuroscience. In this journal club, I would like to give a lightning review of RL.

*Detailed information about the seminar refer to the email.

Reference

  1. Sutton, R. S., & Barto, A. G. (2018). Reinforcement learning: An introduction. MIT press.

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