from GenTunic.gen_tuning import gen_tuning_main
from ReinforcmentLearning.learning import multipleTries, oneTry
from ReinforcmentLearning.util import calc_time_reward


# EPSILON = 0.01
EPSILON = 0.005
# ALPHA = 0.01
ALPHA = 0.2
# GAMMA = 0.2713
GAMMA = 0.8

AMOUNT_RUNS = 5000
AMOUNT_TRIES = 5

REWARD_ON_WIN = 400
REWARD_ON_LOSE = -250

plot_result = True
show_game = False

print(calc_time_reward(100000))

# oneTry(EPSILON, ALPHA, GAMMA, AMOUNT_RUNS, REWARD_ON_WIN, REWARD_ON_LOSE, plot_result, show_game)
#multipleTries(EPSILON, ALPHA, GAMMA,AMOUNT_TRIES, AMOUNT_RUNS, REWARD_ON_WIN, REWARD_ON_LOSE)
#gen_tuning_main(AMOUNT_TRIES, AMOUNT_RUNS, REWARD_ON_WIN, REWARD_ON_LOSE)