AlphaZero: How a Program Taught Itself Chess and Shogi Fast
A single program learned to play chess and shogi by playing itself, and it did so fast.
Called AlphaZero, it started with random moves and no human tips.
The program only knows the rules, nothing more, and it improves by playing millions of games against itself.
This idea of self-play lets the machine find new plans and tricks humans didn't think of.
Within a day it beat top programs in both games, which was surprising, and exciting.
It shows that simple learning and lots of practice can reach superhuman skill.
In chess, it rediscovered old ideas, and also found fresh ones, some moves look strange but work.
You don't need decades of expert tweaks for a system like this, the program learns by itself.
For players, fans, and curious minds, it's a peek at how machines can learn new things fast.
It feel like watching a student suddenly play like a champion, with few rules and many games, and it's both humbling and thrilling.
Soon these ideas may help in other areas beyond games, where learning by trial could solve hard problems people face every day.
Read article comprehensive review in Paperium.net:
Mastering Chess and Shogi by Self-Play with a General Reinforcement LearningAlgorithm
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