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RL Weekly Feedback

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- Ryan

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Where do you read RL Weekly issues?

https://www.endtoend.ai/rl-weekly/

https://www.getrevue.co/profile/seungjaeryanlee

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How did you learn about RL Weekly?

r/reinforcementlearning (Subreddit)

r/machinelearning (Subreddit)

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Reinforcement Learning KR (Facebook group)

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What experiences do you have related to reinforcement learning?

Ran open-source implementations (of RL algorithms) as-is.

Modified open-source implementations for personal interest.

Contributed to open-source implementations.

Read a (RL-related) research paper.

Reproduced results published in a research paper.

Published a research paper in a well-known conference.

Spoke about your research in a conference (Poster Session, Oral, etc)

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Content

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Too easy: I think you are explaining too much.

Easy: I can understand everything in the newsletter.

Difficult: It takes time to understand.

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What content of the newsletter do you read?

2~3 featured news.

One-liners at the end of the newsletter.

Both!

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Option A: One-line summary, exposing names of institution.

Option B: One-line summary without exposing author information.

Option C: No summary, but the list is more inclusive then options A or B.

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