AlessandroPomponio/B2P-Penicilin-Tablut-AI
Java-based artificial intelligence that plays Tablut using Ashton's rules
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Experimental
Implements minimax with alpha-beta pruning and iterative deepening search using concurrent Futures for parallel evaluation. Game state is represented as BitSet to reduce memory overhead, with a heuristic-guided search strategy that explores the game tree deeply within time constraints. Communicates with Andrea Galassi's Tablut Competition server via command-line arguments specifying player color, timeout, and server address.
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Language
Java
License
BSD-3-Clause
Category
Last pushed
Jun 03, 2020
Commits (30d)
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