How to tackle lack of data: an overview on transfer learning
How to tackle lack of data: an overview on transfer learning using examples like BERT and GPT and by understanding further concepts of it.
Entries by Yasuto Tamura
AI for games, games for AI
Do you know how AI is really used in the gaming industry? I will introduce the many many ways how this is done. From AI players to textures.
Stop saying “trial and errors” for now: seeing reinforcement learning through some spectrums
Some of you might have got away with explaining reinforcement learning (RL) only by saying an obscure thing like “RL enables computers to learn through trial and errors.” But if you have patiently read my articles so far, you might have come to say “RL is a family of algorithms which simulate procedures similar to dynamic programming (DP).”
Four essential ideas for making reinforcement learning and dynamic programming more effective
This is the third article of the series My elaborate study notes on reinforcement learning. 1, Some excuses for writing another article on the same topic In the last article […]
Graphical understanding of dynamic programming and the Bellman equation: taking a typical approach at first
This is the second article of the series My elaborate study notes on reinforcement learning. 1, Before getting down on business As the title of this article suggests, this article […]
Understanding the “simplicity” of reinforcement learning: comprehensive tips to take the trouble out of RL
*I adjusted mathematical notations in this article as close as possible to “Reinforcement Learning:An Introduction.” This book by Sutton and Barto is said to be almost mandatory for those who […]
My elaborate study notes on reinforcement learning
This article is going to be composed of the following contents.
Understanding the “simplicity” of reinforcement learning: comprehensive tips to take the trouble out of RL
Graphical understanding of dynamic programming and the Bellman equation: taking a typical approach at first
Rethinking linear algebra part two: ellipsoids in data science
1 Our expedition of eigenvectors still continues This article is still going to be about eigenvectors and PCA, and this article still will not cover LDA (linear discriminant analysis). Hereby […]
How to make a toy English-German translator with multi-head attention heat maps: the overall architecture of Transformer
If you have been patient enough to read the former articles of this article series Instructions on Transformer for people outside NLP field, but with examples of NLP, you should […]
Multi-head attention mechanism: “queries”, “keys”, and “values,” over and over again
This is the third article of my article series named “Instructions on Transformer for people outside NLP field, but with examples of NLP.” In the last article, I explained how […]
