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Reinforcement Learning

May 27, 2023 @ 6:00 PM - 7:00 PM GMT-0700

To join the discussion, please register first:
[https://us02web.zoom.us/meeting/register/tZErd-6rqz4tGNNzTGSuRPkUMu29nu35tsBm](https://us02web.zoom.us/meeting/register/tZErd-6rqz4tGNNzTGSuRPkUMu29nu35tsBm)

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Reinforcement Learning (RL) is used in ChatGPT, inventory management software, warehouse robots, and translation tools.

This exciting field in machine learning solves **sequential** decision-making problems, i.e. take **a sequence of** decisions to maximize performance.

This week, we’ll discuss how to solve the Gridworld problem (the last section of chapter 2 of BOOK 1).

Feel free to solve it with any method you prefer.

Details:
BOOK 1:
https://learning.oreilly.com/library/view/the-reinforcement-learning/9781800200456/
Github:
https://github.com/PacktWorkshops/The-Reinforcement-Learning-Workshop

BOOK 2 (free online):
http://www.incompleteideas.net/book/RLbook2020.pdf
Reinforcement Learning: An Introduction – Sutton and Barto (2018) is the most cited RL book.

It has three parts:
The first part (Chapters 2–8) elaborates the tabular case which has exact solutions.

The second part (Chapters 9–13) talks about function approximation.

The third part (Chapters 14–16) focuses on RL’s relationships to psychology, neuroscience, and case-studies (Atari game playing, Watson’s wagering strategy, and the Go playing programs) respectively.

Details

Date:
May 27, 2023
Time:
6:00 PM - 7:00 PM GMT-0700
Event Category:
Website:
https://www.meetup.com/projects/events/293511561

Venue

Online event

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