Implemented a expectiminimax agent (2-ply search) with alpha – beta pruning and forward pruning (to reduce the branching factor in the game tree) to determine the best move give the state of the board.
This homework is about Implementing a smart agent to play Quoridor, using Min-max, a heuristic function, Transposition Table and forward pruning. This homework is a part of many projects in a Fundamentals to AI course @ FUM.
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