def main():
throw.init_board()
num_games = 1000
#************************************************#
# Uncomment the lines below to run the mdp code, #
# using the simple dart thrower that matches #
# the thrower specified in question 2. #
#*************************************************
# Default is to solve MDP and play 1 game
throw.use_simple_thrower()
test(100, "mdp")
#*************************************************#
# Uncomment the lines below to run the modelbased #
# code using the complex dart thrower. #
#*************************************************#
# Seed the random number generator -- the default is
# the current system time. Enter a specific number
# into seed() to keep the dart thrower constant across
# multiple calls to main().
# Then, initialize the throwing model and run
# the modelbased algorithm.
random.seed(181)
throw.init_thrower()
f = open("q4a_data_strat1.csv", "w")
f.write("EPOCH_SIZE, AVG_TURNS\n")
avg_turns = modelbased.modelbased(GAMMA, 5, 100)
f.write("{0}, {1}\n".format(1, avg_turns))
def main():
throw.init_board()
num_games = 1000
#************************************************#
# Uncomment the lines below to run the mdp code, #
# using the simple dart thrower that matches #
# the thrower specified in question 2. #
#*************************************************
# Default is to solve MDP and play 1 game
throw.use_simple_thrower()
test(100, "mdp")
#*************************************************#
# Uncomment the lines below to run the modelbased #
# code using the complex dart thrower. #
#*************************************************#
# Seed the random number generator -- the default is
# the current system time. Enter a specific number
# into seed() to keep the dart thrower constant across
# multiple calls to main().
# Then, initialize the throwing model and run
# the modelbased algorithm.
random.seed(181)
throw.init_thrower()
f = open("q4a_data_strat1.csv", "w")
f.write("EPOCH_SIZE, AVG_TURNS\n")
avg_turns = modelbased.modelbased(GAMMA, 5, 100)
f.write("{0}, {1}\n".format(1, avg_turns))
def main():
throw.init_board()
num_games = 19
#************************************************#
# Uncomment the lines below to run the mdp code, #
# using the simple dart thrower that matches #
# the thrower specified in question 2. #
#*************************************************
# Default is to solve MDP and play 1 game
#throw.use_simple_thrower()
#test(1, "mdp")
#*************************************************#
# Uncomment the lines below to run the modelbased #
# code using the complex dart thrower. #
#*************************************************#
# Seed the random number generator -- the default is
# the current system time. Enter a specific number
# into seed() to keep the dart thrower constant across
# multiple calls to main().
# Then, initialize the throwing model and run
# the modelbased algorithm.
random.seed()
throw.init_thrower()
for epoch in range (20):
print "Epoch size: " + str(200 - epoch * 10)
modelbased.modelbased(GAMMA, 200 - 10 * epoch, num_games)
#*************************************************#
# Uncomment the lines below to run the modelfree #
# code using the complex dart thrower. #
#*************************************************#
# Plays 1 game using a default player. No modelfree
# code is provided.
random.seed()
throw.init_thrower()
test(1, "modelfree")
def task(self):
throw.NUM_WEDGES = 8
throw.wedges = [ 4, 6, 2, 7, 1, 8, 3, 5 ]
throw.START_SCORE = 100
throw.init_board()
random.seed()
throw.init_thrower()
num_games=10
epochs = [25,35,50];
listNames = map(lambda x: "Epoch "+`x`, epochs);
y= map(lambda x: modelbased.modelbased(darts.GAMMA, x, num_games,2), epochs);
listData = y
chart = {"chart": {"defaultSeriesType": "line"},
"xAxis": {"categories": listNames},
"yAxis": {"title": {"text": "#Throws"}},
"title": {"text": "Average #throws to finish vs. #games"},
"series": [ {"name": "Average policy performance",
"data": listData} ] }
return chart
def main():
throw.init_board()
num_games = 10
#************************************************#
# Uncomment the lines below to run the mdp code, #
# using the simple dart thrower that matches #
# the thrower specified in question 2. #
#*************************************************
#Default is to solve MDP and play 1 game
#throw.use_simple_thrower()
#test(1, "mdp")
#*************************************************#
# Uncomment the lines below to run the modelbased #
# code using the complex dart thrower. #
#*************************************************#
# Seed the random number generator -- the default is
# the current system time. Enter a specific number
# into seed() to keep the dart thrower constant across
# multiple calls to main().
# Then, initialize the throwing model and run
# the modelbased algorithm.
random.seed()
performance = []
epochs = range(10,21)
throw.init_thrower()
for i in range(len(epochs)):
epoch = epochs[i]
throw.init_thrower()
performance.append(modelbased.modelbased(GAMMA, EPOCH_SIZE, 10))
print performance
f = open("dumpfile2","w")
pickle.dump([epochs,performance],f)
f.close()
def task(self):
throw.NUM_WEDGES = 8
throw.wedges = [4, 6, 2, 7, 1, 8, 3, 5]
throw.START_SCORE = 100
throw.init_board()
random.seed()
throw.init_thrower()
num_games = 10
epochs = [50]
#25,35,50];
listNames = map(lambda x: "Epoch " + ` x `, epochs)
y = map(lambda x: modelbased.modelbased(darts.GAMMA, x, num_games, 1),
epochs)
listData = y
chart = {
"chart": {
"defaultSeriesType": "line"
},
"xAxis": {
"categories": listNames
},
"yAxis": {
"title": {
"text": "#Throws"
}
},
"title": {
"text": "Average #throws to finish vs. #games"
},
"series": [{
"name": "Average policy performance",
"data": listData
}]
}
return chart
>>>>>>> 82275be991312c1b70027465c28ec5e1eaa887c8
#*************************************************#
# Uncomment the lines below to run the modelbased #
# code using the complex dart thrower. #
#*************************************************#
# Seed the random number generator -- the default is
# the current system time. Enter a specific number
# into seed() to keep the dart thrower constant across
# multiple calls to main().
# Then, initialize the throwing model and run
# the modelbased algorithm.
random.seed()
throw.init_thrower()
modelbased.modelbased(GAMMA, EPOCH_SIZE, num_games)
#x = [10,20,30,40,50,60,70,80,90]
#for i in x:
# EPOCH_SIZE = i
# modelbased.modelbased(GAMMA, EPOCH_SIZE, num_games)
#*************************************************#
# Uncomment the lines below to run the modelfree #
# code using the complex dart thrower. #
#*************************************************#
# Plays 1 game using a default player. No modelfree
# code is provided.
#random.seed()
#throw.init_thrower()
#x = [10,20,30,40,50,60,70,80,90,100]
