HearthStone Machine Learning
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Updated
Sep 1, 2016 - Python
HearthStone Machine Learning
Monte Carlo Tree Search algorithm applied to a simplified version of Blizzard's Hearthstone. Explores various types of greedy AI agents to learn from and beat down. A part of Reinforcement Learning class at Wrocław University of Science and Technology
Scrape Hearthstone decks from HearthPwn, then populate a table in a SQLite database using the results. Also integrates with omgvamp's Mashape Hearthstone API (http://hearthstoneapi.com/) to build a table of card data that can be used to make more advanced queries.
Plugin list repo for HDT plugin browser
Running (Some) Windows Apps on Linux Using Wine from a Docker Container
Solver for Hearthstone Barrens Mystery "Hunter Puzzle"
Hearthstone Card Library
Open source project, for calculating probabilities. Can be used for various applications including card games.
A web-app template for an Hearthstone joke
Retrieve images of Heartstone cards and name them nicely
Automatic customizable Key Presser with presets for different type of usages
The model is established based on Information Set Monte Carlo Tree Search (ISMCTS) and Residual Neural Network
A HearthStone bot based on GUI operation with specific deck.
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