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You've already done alpha-beta pruning, if I recall correctly, for tic-tac-toe. Let's see if you can do it for chess! :)
There's a ton of very simple engines to learn from, such as sunfish:
https:…
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### Summary of the chapter in the form of points
- This chapter focuses on **competitive environments** and **adversarial search problems**, where multiple agents have conflicting goals.
- The cha…
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There are a lot of new algorithms that have been added to the [aima-pseudocode](https://github.com/aimacode/aima-pseudocode) repository. Please have a look at [this](https://github.com/aimacode/aima-p…
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Implement the paper:
Exploiting Variance Information in Monte-Carlo Tree Search
Robert Lieck, Vien Ngo, Marc Toussaint
AlphaZero etc. do not use either of the classic definitions of U, but use …
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What is the purpose of this project?
What is it meant to achieve?
What will be the deliverables?
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This would add an option alongside the "web styled file names" option, which would create a seperate folder for every file with the file's name and rename each exported file to index.html inside the f…
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Hi, I was thinking a lot about the impact of -v800 on the training, more or less convinced that trying to learn good data is better than successfully learn "bad" data and I came up with what seems to …
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## Outline
Implement efficient 3D mesh offset, instead of using minkowski sum with high resolution spheres. (https://github.com/elalish/manifold/issues/192)
## Details
3D mesh offset is a use…
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Hi, I have read your code of mcts4j (Monte-Carlo_tree_search) carefully and found it quite useful for me, it is really a nice work.
However, I tested the program and found I cant get the correct an…
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Any suggestions for changing the code such that we can adopt it for single player game in which the rules are available and the goal is to get the highest score? For example, `snake eating egg` game a…