Interesting RL stuff I want to look at

• I recently joined a Discord server on RL because the best way to learn is to interact with like-minded people.

Good learning resources:

• https://github.com/andyljones/reinforcement-learning-discord-wiki/wiki

Computational resources?

• https://www.tensorflow.org/tfrc
  • https://discord.com/channels/765294874832273419/765294874832273422/768102671881863178
  • TSFRC

Big Data

• https://www.quora.com/How-do-you-learn-big-data

NN

• https://towardsdatascience.com/the-mostly-complete-chart-of-neural-networks-explained-3fb6f2367464
• https://towardsdatascience.com/a-beginners-guide-to-convolutional-neural-networks-cnns-14649dbddce8
• https://machinelearningmastery.com/how-to-configure-the-number-of-layers-and-nodes-in-a-neural-network/
• https://arxiv.org/pdf/1904.07633.pdf
• http://marekromanowicz.com/files/master_thesis.pdf

Fascinating stuff

• Meta-RL
  • MAML? RL^2? PEARL?
• NAS (Medium)
  • Paper
• OpenAI Gym
• Voice remover
• wav2mid
• NTK
  • https://github.com/damaru2/ntk
• Alpha0 for connect4
• Testing MCTS
• AI safety
  • See also

Glossary

• FLOPS
  • Floating point operations per second

Cute graphs

• https://timqian.com/chart.xkcd/#introduction

Setting stuff up

• I want to try using boilerplates to immediately set stuff up quickly.

You and your research

• http://joschu.net/blog/opinionated-guide-ml-research.html
• http://www.cs.virginia.edu/~robins/YouAndYourResearch.html