def generate_game_sessions_with_all_parameters():
path = _create_path(dir='virtual_players')
make_directory(directory=path)
params_ql, params_rl = prepare_params()
for trial in params_ql:
game = GameSession()
model = Qlearning()
player = VirtualPlayer(trial[0],
trial[1],
game_skeleton=game.game_skeleton,
model=model)
game.play(player=player)
file = tuple(map(str, round_number(trial[0]), round_number(trial[1])))
path = _create_file_path(filename="QL_" + "_".join(file))
game.save_results(path)
def generate_game_sessions_with_real_player_parameters():
path = _create_path(dir='virtual_players')
make_directory(directory=path)
df = pd.read_csv('/Users/karola/PycharmProjects/ZPI/data/RW_RP_params.csv')
for index, row in df.iterrows():
game = GameSession()
model = RescorlaWagner()
player = VirtualPlayer(row['T'],
row['alpha_gain'],
row['alpha_lose'],
game_skeleton=game.game_skeleton,
model=model)
game.play(player=player)
file = tuple(
map(str, (round_number(row['T']), round_number(row['alpha_gain']),
round_number(row['alpha_lose']), row['name'])))
path = _create_file_path(filename="RW_" + "_".join(file))
game.save_results(path)
