31 lines
679 B
Python
31 lines
679 B
Python
#! TMP
|
|
import os
|
|
os.environ['MPLBACKEND'] = 'Agg'
|
|
|
|
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 = 0.2
|
|
GAMMA = 0.8
|
|
|
|
AMOUNT_RUNS = 5000
|
|
AMOUNT_TRIES = 5
|
|
|
|
REWARD_ON_WIN = 400
|
|
REWARD_ON_LOSE = -250
|
|
|
|
plot_result = False
|
|
show_game = False
|
|
|
|
|
|
|
|
|
|
|
|
# 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, EPSILON)
|