My winning bot for Strategy Card Game AI Competition CEC 2019 and COG 2019 🏆
mkdir build
cd build
cmake ..
make
If running on a slow or already CPU loaded computer, the bot may timeout.
You can reduce TIME_LIMIT.
My AI bot is based on a minimax algorithm with alpha-beta pruning at a fixed depth. Since we can do multiple actions per player turn, the minimax algorithm is repeated until there are no more available actions.
For one turn, we compute the best actions using minimax. Then among these, we keep only the first action. The action is executed in the simulation environment. We repeat the minimax algorithm.
For the opponent simulation, only attack players and attack monsters are considered.
The bot actions should be determinist if it has time to compute the multiple minimaxes.
In most of the case, due to the small search depth, the bot gets enough time.
It uses a TIME_LIMIT in case of a very very wide tree (very rare) to securely outputs actions before time out.
To choose what card to pick between the three proposed, my bot will pick the one with the highest rank. The bot uses 2 fixed ranking of cards available in the game. These ranking will be chosen at the start based on the player position if the bot plays first or not.
The evaluation of the state of the game uses the following features:
card.defense
card.attack
card.ward
card.lethal
card.guard
card.passed
player.cardsToDraw
player.hp
Each feature has an associated weight on it that was first hand-tuned. A genetic algorithm has then been used to search for the best weights.