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project-alphazero's Introduction

Hi there ๐Ÿ‘‹

I'm Pranshu Raj, a sophomore at IIIT Gwalior pursuing B.Tech in Computer Science.

  • ๐Ÿ”ญ Iโ€™m currently working on a Reinforcement Learning agent for playing games
  • ๐ŸŒฑ Iโ€™m currently learning MLOPS and improving my python knowledge
  • ๐Ÿ“ซ How to reach me: linkedin [email protected]

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project-alphazero's Issues

Fix eval in case of checkmates

Currently my minimax function only checks if the depth is zero or the game is over, and returns the eval.
This prevents it from detecting checkmates and responding correctly, which leads to it missing mates, even mate in 1.

documentation

Prepare documentation on the code as well as the process

How should I do the outlier removal?

Outlier removal is done here using quartile method but there are still many issues with it, such as the size/bhk value should be less than 300 but there are still many values outside of that and dropping them or imputing may affect the results drastically.

New features to add

Categorical encoding
Stratified sampling (to avoid imbalances) or weighted sampling
pipelines for the processing, or use classes
Add more visuals

Implement lru cache

Save some board positions for things like iterative deepening in ab search - save the moves used to prune further.
Can also use this for the history heuristic.

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