def main():
# TODO implement command-line args
# initialize database
Database.initialize()
q = Database.getQTable()
cards = loadCardDefinitions()
characters = loadCharacterDefinitions()
# initialize card definitions for querying
CardDefinitions.setDefinitions(cards["main"], cards["treasures"],
cards["answers"])
# how many games to play per run
num_games = run_constants["num_games"]
# every nth game will be verbose
verbose_mod = run_constants["verbose_mod"]
# game params as defined in game/game.py
game_params = {
# "num_agents"
# "num_humans"
# "max_turns"
}
# agent params as defined in player/agent.py
agent_params = {
"learning_rate": agent_constants["learning_rate"]
# "discount_factor"
# "endgame_discount_factor"
# "random_action_rate"
# "dyna_steps"
}
# deck params as defined in game/game.py
deck_params = {
"main_cards": CardDefinitions.cards["main"],
"treasure_cards": CardDefinitions.cards["treasures"],
"answer_cards": CardDefinitions.cards["answers"]
}
# character params as defined in game/game.py
character_params = {"characters": characters}
for game_number in range(num_games):
verbose = game_number % verbose_mod == verbose_mod - 1
game_params["verbose"] = verbose
agent_params["verbose"] = verbose
print("Running game {}".format(game_number + 1))
game = Game(q, game_params, agent_params, deck_params,
character_params)
game.run()
Stats.recordStat("games")
agent_params[
"learning_rate"] *= 1 - agent_constants["learning_rate_decay"]
Database.commit()
# deinitialize database
Database.destroy()
Stats.printStats()
Stats.printQStats(q)
Stats.graphChosenActionUsage()
Stats.graphTurnCountPerGame()
from util.database import Database
Database.initialize()
Database.destroyDatabase()
print("Database destroyed")
Database.createDatabase()
print("Database created")
Database.destroy()
