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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.