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plot.py
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import matplotlib.pyplot as plt
import numpy as np
from scipy import stats
import json
import pickle
import os
import seaborn as sns
sns.set()
from scipy.stats import norm
# plt.rcParams['axes.facecolor'] = 'grey'
def plot_error(data, label='', alpha=0.4):
data = [i[0:150] for i in data]
# x = list(range(150))
# data = [i[20:150] for i in data]
# x = x[20:]
data_mean = np.mean(np.array(data), axis=0)
error_bars = stats.sem(np.array(data))
plt.plot(data_mean, label=label)
plt.fill_between([i for i in range(data_mean.size)],
np.squeeze(data_mean - error_bars),
np.squeeze(data_mean + error_bars), alpha=alpha)
def comparison_for_group_game():
logscale = True
psro = True
pipeline_psro = True
dpp_psro = True
rectified = False
self_play = False
distance_psro = False
rectified_distance_psro = False
diverge_psro = True
psro_exps = []
psro_cardinality = []
pipeline_psro_exps = []
pipeline_psro_cardinality = []
rectified_exps = []
rectified_cardinality = []
self_play_exps = []
self_play_cardinality = []
diverge_psro_exps = []
diverge_psro_cardinality = []
dpp_psro_exps = []
dpp_psro_cardinality = []
rectified_distance_psro_exps = []
rectified_distance_psro_cardinality = []
distance_psro_exps = []
distance_psro_cardinality = []
with open(os.path.join(r"E:\diverse_psro\results\20210427-171309_AlphaStar_0.5_0.85", 'data.p'), "rb") as f:
result = pickle.load(f)
diverge_psro_exps = result['diverge_psro_exps']
diverge_psro_cardinality = result['diverge_psro_exps']
# with open(os.path.join(r'E:\diverse_psro\results\20210325-030933_3-move parity game 2_0.5_0.85', 'data.p'), 'rb') as f:
# result = pickle.load(f)
dpp_psro_exps = result['dpp_psro_exps']
dpp_psro_cardinality = result['dpp_psro_cardinality']
psro_exps = result['psro_exps']
psro_cardinality = result['psro_cardinality']
with open(os.path.join(r"E:\diverse_psro\results\20210427-171309_AlphaStar_0.5_0.85\20210428-113730_AlphaStar_0.5_0.85", 'data.p'), 'rb') as f:
result = pickle.load(f)
pipeline_psro_exps = result['pipeline_psro_exps']
pipeline_psro_cardinality = result['pipeline_psro_cardinality']
# with open(os.path.join(r'E:\diverse_psro\results\20210313-134804_2000_0.5_0.85', 'data.p'), 'rb') as f:
# result = pickle.load(f)
# rectified_distance_psro_exps = result['rectified_distance_psro_exps']
# rectified_distance_psro_cardinality = result['rectified_distance_psro_cardinality']
# with open(os.path.join(r'E:\diverse_psro\results\20210326-033836_3-move parity game 2_0.5_0.85', 'data.p'), 'rb') as f:
# result = pickle.load(f)
# psro_exps = result['psro_exps']
# psro_cardinality = result['psro_cardinality']
# rectified_exps = result['rectified_exps']
# rectified_cardinality = result['rectified_cardinality']
# self_play_exps = result['self_play_exps']
# self_play_cardinality = result['self_play_cardinality']
for j in range(2):
fig_handle = plt.figure()
if psro:
if j == 0:
plot_error(psro_exps, label='PSRO')
elif j == 1:
plot_error(psro_cardinality, label='PSRO')
if pipeline_psro:
if j == 0:
plot_error(pipeline_psro_exps, label='P-PSRO')
elif j == 1:
plot_error(pipeline_psro_cardinality, label='P-PSRO')
if rectified:
if j == 0:
length = min([len(l) for l in rectified_exps])
for i, l in enumerate(rectified_exps):
rectified_exps[i] = rectified_exps[i][:length]
plot_error(rectified_exps, label='PSRO-rN')
elif j == 1:
length = min([len(l) for l in rectified_cardinality])
for i, l in enumerate(rectified_cardinality):
rectified_cardinality[i] = rectified_cardinality[i][:length]
plot_error(rectified_cardinality, label='PSRO-rN')
if self_play:
if j == 0:
plot_error(self_play_exps, label='Self-play')
elif j == 1:
plot_error(self_play_cardinality, label='Self-play')
if dpp_psro:
if j == 0:
plot_error(dpp_psro_exps, label='Ours')
elif j == 1:
plot_error(dpp_psro_cardinality, label='Ours')
if distance_psro:
if j == 0:
plot_error(distance_psro_exps, label='distance_psro')
elif j == 1:
plot_error(distance_psro_cardinality, label='distance_psro')
if rectified_distance_psro:
if j == 0:
plot_error(rectified_distance_psro_exps, label='rectified_distance_psro')
elif j == 1:
plot_error(rectified_distance_psro_cardinality, label='rectified_distance_psro')
if diverge_psro:
if j == 0:
plot_error(diverge_psro_exps, label='diverge_psro')
elif j == 1:
plot_error(diverge_psro_cardinality, label='diverge_psro')
plt.legend(loc="upper left")
# plt.title('Dim {:d}'.format(500))
plt.title('AlphaStar')
if logscale and (j == 0):
plt.yscale('log')
PATH_RESULTS = r'E:\diverse_psro\results\20210427-171309_AlphaStar_0.5_0.85'
if not os.path.exists(PATH_RESULTS):
os.makedirs(PATH_RESULTS)
plt.savefig(os.path.join(PATH_RESULTS, 'new_' + str(j) + '.pdf'))
def comparison_for_alpha_star():
logscale = True
psro = True
pipeline_psro = True
dpp_psro = True
rectified = True
self_play = True
distance_psro = True
rectified_distance_psro = False
diverge_psro = True
unified_psro = True
psro_exps = []
psro_cardinality = []
pipeline_psro_exps = []
pipeline_psro_cardinality = []
rectified_exps = []
rectified_cardinality = []
self_play_exps = []
self_play_cardinality = []
diverge_psro_exps = []
diverge_psro_cardinality = []
dpp_psro_exps = []
dpp_psro_cardinality = []
rectified_distance_psro_exps = []
rectified_distance_psro_cardinality = []
distance_psro_exps = []
distance_psro_cardinality = []
unified_psro_exps = []
unified_psro_cardinality = []
with open(os.path.join(r"E:\diverse_psro\results\20210427-110734_AlphaStar_0.5_0.85", 'data.p'), "rb") as f:
result = pickle.load(f)
diverge_psro_exps = result['diverge_psro_exps']
diverge_psro_cardinality = result['diverge_psro_exps']
with open(os.path.join(r'E:\diverse_psro\results\alpha_star\20210307-092816_AlphaStar_0.5_0.85', 'data.p'), 'rb') as f:
result = pickle.load(f)
dpp_psro_exps = result['dpp_psro_exps']
dpp_psro_cardinality = result['dpp_psro_cardinality']
# with open(os.path.join(r'E:\diverse_psro\results\20210323-133539_600_0.5_0.85', 'data.p'), 'rb') as f:
# result = pickle.load(f)
pipeline_psro_exps = result['pipeline_psro_exps']
pipeline_psro_cardinality = result['pipeline_psro_cardinality']
rectified_exps = result['rectified_exps']
rectified_cardinality = result['rectified_cardinality']
self_play_exps = result['self_play_exps']
self_play_cardinality = result['self_play_cardinality']
psro_exps = result['psro_exps']
psro_cardinality = result['psro_cardinality']
with open(os.path.join(r'E:\diverse_psro\results\20210528-224841_AlphaStar_0.5_0.85', 'data.p'), 'rb') as f:
result = pickle.load(f)
# rectified_distance_psro_exps = result['rectified_distance_psro_exps']
# rectified_distance_psro_cardinality = result['rectified_distance_psro_cardinality']
distance_psro_exps = result['distance_psro_exps']
distance_psro_cardinality = result['distance_psro_cardinality']
with open(os.path.join(r"E:\diverse_psro\results\20210428-212953_AlphaStar_0.5_0.85", "data.p"), "rb") as f:
result = pickle.load(f)
unified_psro_exps = result['diverge_psro_exps']
unified_psro_cardinality = result['dpp_psro_cardinality']
for j in range(2):
fig_handle = plt.figure()
if psro:
if j == 0:
plot_error(psro_exps, label='PSRO')
elif j == 1:
plot_error(psro_cardinality, label='PSRO')
if pipeline_psro:
if j == 0:
plot_error(pipeline_psro_exps, label='P-PSRO')
elif j == 1:
plot_error(pipeline_psro_cardinality, label='P-PSRO')
if rectified:
if j == 0:
length = min([len(l) for l in rectified_exps])
for i, l in enumerate(rectified_exps):
rectified_exps[i] = rectified_exps[i][:length]
plot_error(rectified_exps, label='PSRO-rN')
elif j == 1:
length = min([len(l) for l in rectified_cardinality])
for i, l in enumerate(rectified_cardinality):
rectified_cardinality[i] = rectified_cardinality[i][:length]
plot_error(rectified_cardinality, label='PSRO-rN')
if self_play:
if j == 0:
plot_error(self_play_exps, label='Self-play')
elif j == 1:
plot_error(self_play_cardinality, label='Self-play')
if dpp_psro:
if j == 0:
plot_error(dpp_psro_exps, label='DPP-PSRO')
elif j == 1:
plot_error(dpp_psro_cardinality, label='DPP-PSRO')
if distance_psro:
if j == 0:
plot_error(distance_psro_exps, label='P-PSRO w. RD')
elif j == 1:
plot_error(distance_psro_cardinality, label='P-PSRO w. RD')
if rectified_distance_psro:
if j == 0:
plot_error(rectified_distance_psro_exps, label='rectified_distance_psro')
elif j == 1:
plot_error(rectified_distance_psro_cardinality, label='rectified_distance_psro')
if diverge_psro:
if j == 0:
plot_error(diverge_psro_exps, label='P-PSRO w. BD')
elif j == 1:
plot_error(diverge_psro_cardinality, label='P-PSRO w. BD')
if unified_psro:
if j == 0:
plot_error(unified_psro_exps, label="P-PSRO w. BD&RD")
elif j == 1:
plot_error(unified_psro_cardinality, label="P-PSRO w. BD&RD")
plt.legend(loc="upper right")
# plt.title('Dim {:d}'.format(500))
plt.title('AlphaStar')
plt.xlabel("Training Iterations")
plt.ylabel("Exploitability")
if logscale and (j == 0):
plt.yscale('log')
PATH_RESULTS = r'E:\diverse_psro\results\alpha_star'
if not os.path.exists(PATH_RESULTS):
os.makedirs(PATH_RESULTS)
plt.savefig(os.path.join(PATH_RESULTS, 'unified_figure_' + str(j) + '.pdf'))
def tune_alpha_star(algo='distance_psro'):
exp_string = f"{algo}_exps"
cardinality_string = f"{algo}_cardinality"
result_folder_list = [r'E:\diverse_psro\results\20210322-130024_AlphaStar_0.5_0.85',
r'E:\diverse_psro\results\20210322-131217_AlphaStar_0.5_0.85',
r'E:\diverse_psro\results\20210322-133509_AlphaStar_0.5_0.85',
r'E:\diverse_psro\results\20210322-133538_AlphaStar_0.5_0.85',
r'E:\diverse_psro\results\20210322-135318_AlphaStar_0.5_0.85']
labels_list = ['100', '10', '50', '500', '500-100-50']
exps_list = []
cards_list = []
for path in result_folder_list:
with open(os.path.join(path, 'data.p'), 'rb') as f:
result = pickle.load(f)
exps_list.append(result[exp_string])
cards_list.append(result[cardinality_string])
for i in range(5):
plot_error(exps_list[i], label=labels_list[i])
plt.legend(loc="upper left")
plt.title('diverge psro')
plt.yscale('log')
PATH_RESULTS = r'E:\diverse_psro\results\alpha_star'
if not os.path.exists(PATH_RESULTS):
os.makedirs(PATH_RESULTS)
plt.savefig(os.path.join(PATH_RESULTS, f'figure_0_diverge_psro.pdf'))
fig_handle = plt.figure()
for i in range(5):
plot_error(cards_list[i], label=labels_list[i])
plt.legend(loc="upper left")
plt.title('rectified distance psro')
PATH_RESULTS = r'E:\diverse_psro\results\alpha_star'
if not os.path.exists(PATH_RESULTS):
os.makedirs(PATH_RESULTS)
plt.savefig(os.path.join(PATH_RESULTS, f'figure_1_diverge_psro.pdf'))
def plot():
logscale = True
psro = False
pipeline_psro = False
dpp_psro = True
rectified = False
self_play = False
distance_psro = True
with open(os.path.join(r"E:\diverse_psro\results\20210322-131217_AlphaStar_0.5_0.85", 'data.p'), "rb") as f:
result = pickle.load(f)
distance_psro_exps = result['distance_psro_exps']
distance_psro_cardinality = result['distance_psro_cardinality']
with open(os.path.join(r"E:\diverse_psro\results\20210308-134554_AlphaStar_0.5_0.875", 'data.p'), "rb") as f:
result = pickle.load(f)
dpp_psro_exps = result['dpp_psro_exps']
dpp_psro_cardinality = result['dpp_psro_cardinality']
rectified_exps = result['rectified_exps']
rectified_cardinality = result['rectified_cardinality']
self_play_exps = result['self_play_exps']
self_play_cardinality = result['self_play_cardinality']
# with open(os.path.join(r"E:\diverse_psro\results\plot_500_0.5\20210307-172053_500_0.5", 'data.p'), "rb") as f:
# result = pickle.load(f)
psro_exps = result['psro_exps']
psro_cardinality = result['psro_cardinality']
pipeline_psro_exps = result['pipeline_psro_exps']
pipeline_psro_cardinality = result['pipeline_psro_cardinality']
for j in range(2):
fig_handle = plt.figure()
if psro:
if j == 0:
plot_error(psro_exps, label='PSRO')
elif j == 1:
plot_error(psro_cardinality, label='PSRO')
if pipeline_psro:
if j == 0:
plot_error(pipeline_psro_exps, label='P-PSRO')
elif j == 1:
plot_error(pipeline_psro_cardinality, label='P-PSRO')
if rectified:
if j == 0:
length = min([len(l) for l in rectified_exps])
for i, l in enumerate(rectified_exps):
rectified_exps[i] = rectified_exps[i][:length]
plot_error(rectified_exps, label='PSRO-rN')
elif j == 1:
length = min([len(l) for l in rectified_cardinality])
for i, l in enumerate(rectified_cardinality):
rectified_cardinality[i] = rectified_cardinality[i][:length]
plot_error(rectified_cardinality, label='PSRO-rN')
if self_play:
if j == 0:
plot_error(self_play_exps, label='Self-play')
elif j == 1:
plot_error(self_play_cardinality, label='Self-play')
if dpp_psro:
if j == 0:
plot_error(dpp_psro_exps, label='Ours')
elif j == 1:
plot_error(dpp_psro_cardinality, label='Ours')
if distance_psro:
if j == 0:
plot_error(distance_psro_exps, label='distance_psro')
elif j == 1:
plot_error(distance_psro_cardinality, label='distance_psro')
plt.legend(loc="upper left")
# plt.title('Dim {:d}'.format(500))
plt.title('AlphaStar')
if logscale and (j == 0):
plt.yscale('log')
PATH_RESULTS = r'E:\diverse_psro\results\alpha_star'
if not os.path.exists(PATH_RESULTS):
os.makedirs(PATH_RESULTS)
plt.savefig(os.path.join(PATH_RESULTS, 'compare_figure_' + str(j) + '.pdf'))
def comparision_for_pe():
logscale = True
psro = True
pipeline_psro = True
dpp_psro = True
rectified = True
self_play = True
distance_psro = True
rectified_distance_psro = False
diverge_psro = True
unified_psro = True
psro_exps = []
psro_cardinality = []
pipeline_psro_exps = []
pipeline_psro_cardinality = []
rectified_exps = []
rectified_cardinality = []
self_play_exps = []
self_play_cardinality = []
diverge_psro_exps = []
diverge_psro_cardinality = []
dpp_psro_exps = []
dpp_psro_cardinality = []
rectified_distance_psro_exps = []
rectified_distance_psro_cardinality = []
distance_psro_exps = []
distance_psro_cardinality = []
unified_psro_exps = []
unified_psro_cardinality = []
with open(os.path.join(r"E:\diverse_psro\results\20210528-221149_AlphaStar_0.5_0.85", 'data.p'), "rb") as f:
result = pickle.load(f)
distance_psro_exps = result['distance_psro_exps']
distance_psro_cardinality = result['distance_psro_cardinality']
with open(os.path.join(r"E:\diverse_psro\results\20210527-195259_AlphaStar_0.5_0.85", 'data.p'), "rb") as f:
result = pickle.load(f)
diverge_psro_exps = result['diverge_psro_exps']
diverge_psro_cardinality = result['diverge_psro_exps']
dpp_psro_exps = result['dpp_psro_exps']
dpp_psro_cardinality = result['dpp_psro_cardinality']
pipeline_psro_exps = result['pipeline_psro_exps']
pipeline_psro_cardinality = result['pipeline_psro_cardinality']
rectified_exps = result['rectified_exps']
rectified_cardinality = result['rectified_cardinality']
self_play_exps = result['self_play_exps']
self_play_cardinality = result['self_play_cardinality']
psro_exps = result['psro_exps']
psro_cardinality = result['psro_cardinality']
with open(os.path.join(r"E:\diverse_psro\results\20210528-213639_AlphaStar_0.5_0.85", "data.p"), "rb") as f:
result = pickle.load(f)
unified_psro_exps = result['diverge_psro_exps']
unified_psro_cardinality = result['diverge_psro_cardinality']
for j in range(2):
fig_handle = plt.figure()
if psro:
if j == 0:
plot_error(psro_exps, label='PSRO')
elif j == 1:
plot_error(psro_cardinality, label='PSRO')
if pipeline_psro:
if j == 0:
plot_error(pipeline_psro_exps, label='P-PSRO')
elif j == 1:
plot_error(pipeline_psro_cardinality, label='P-PSRO')
if rectified:
if j == 0:
length = min([len(l) for l in rectified_exps])
for i, l in enumerate(rectified_exps):
rectified_exps[i] = rectified_exps[i][:length]
plot_error(rectified_exps, label='PSRO-rN')
elif j == 1:
length = min([len(l) for l in rectified_cardinality])
for i, l in enumerate(rectified_cardinality):
rectified_cardinality[i] = rectified_cardinality[i][:length]
plot_error(rectified_cardinality, label='PSRO-rN')
if self_play:
if j == 0:
plot_error(self_play_exps, label='Self-play')
elif j == 1:
plot_error(self_play_cardinality, label='Self-play')
if dpp_psro:
if j == 0:
plot_error(dpp_psro_exps, label='DPP-PSRO')
elif j == 1:
plot_error(dpp_psro_cardinality, label='DPP-PSRO')
if distance_psro:
if j == 0:
plot_error(distance_psro_exps, label='P-PSRO w. RD')
elif j == 1:
plot_error(distance_psro_cardinality, label='P-PSRO w. RD')
if rectified_distance_psro:
if j == 0:
plot_error(rectified_distance_psro_exps, label='rectified_distance_psro')
elif j == 1:
plot_error(rectified_distance_psro_cardinality, label='rectified_distance_psro')
if diverge_psro:
if j == 0:
plot_error(diverge_psro_exps, label='P-PSRO w. BD')
elif j == 1:
plot_error(diverge_psro_cardinality, label='P-PSRO w. BD')
if unified_psro:
if j == 0:
plot_error(unified_psro_exps, label="P-PSRO w. BD&RD")
elif j == 1:
plot_error(unified_psro_cardinality, label="P-PSRO w. BD&RD")
plt.legend(loc="upper right")
# plt.title('Dim {:d}'.format(500))
plt.title('AlphaStar')
plt.xlabel("Training Iterations")
plt.ylabel("Negative Population Effectivity")
if logscale and (j == 0):
plt.yscale('log')
PATH_RESULTS = r'E:\diverse_psro\results\alpha_star'
if not os.path.exists(PATH_RESULTS):
os.makedirs(PATH_RESULTS)
# plt.grid()
plt.savefig(os.path.join(PATH_RESULTS, 'unified_pe_figure_' + str(j) + '.pdf'))
def ablation_study():
stat_name = "distance_psro_pe"
directory_list = [r"E:\diverse_psro\results\20210603-112936_AlphaStar_0.5_0.2",
r"E:\diverse_psro\results\20210603-113002_AlphaStar_0.5_0.4",
r"E:\diverse_psro\results\20210603-113026_AlphaStar_0.5_0.6",
r"E:\diverse_psro\results\20210603-113047_AlphaStar_0.5_0.8",
r"E:\diverse_psro\results\20210603-113101_AlphaStar_0.5_1.0",
r"E:\diverse_psro\results\20210603-113121_AlphaStar_0.5_1.2",
r"E:\diverse_psro\results\20210603-225528_AlphaStar_0.5_1.5",
r"E:\diverse_psro\results\20210603-225540_AlphaStar_0.5_2.0",
r"E:\diverse_psro\results\20210603-224708_AlphaStar_0.5_10.0",
r"E:\diverse_psro\results\20210603-224739_AlphaStar_0.5_5.0",
r"E:\diverse_psro\results\20210603-224810_AlphaStar_0.5_20.0"]
# directory_list = [r"E:\diverse_psro\results\20210603-113240_AlphaStar_0.5_0.2",
# r"E:\diverse_psro\results\20210603-113258_AlphaStar_0.5_0.4",
# r"E:\diverse_psro\results\20210603-113314_AlphaStar_0.5_0.6",
# r"E:\diverse_psro\results\20210603-113335_AlphaStar_0.5_0.8",
# r"E:\diverse_psro\results\20210603-113350_AlphaStar_0.5_1.0",
# r"E:\diverse_psro\results\20210603-113408_AlphaStar_0.5_1.2",
# r"E:\diverse_psro\results\20210603-225732_AlphaStar_0.5_1.5",
# r"E:\diverse_psro\results\20210603-225746_AlphaStar_0.5_2.0",
# r"E:\diverse_psro\results\20210603-224906_AlphaStar_0.5_10.0",
# r"E:\diverse_psro\results\20210603-224850_AlphaStar_0.5_5.0",
# r"E:\diverse_psro\results\20210603-224919_AlphaStar_0.5_20.0"]
label_list = ["0.2", "0.4", "0.6", "0.8", "1.0", "1.2", "1.5", "2", "10", "5", "20"]
stat_list = []
fig_handle = plt.figure()
PATH_RESULTS = r'E:\diverse_psro\results\alpha_star'
for i in range(len(label_list)):
with open(os.path.join(directory_list[i], "data.p"), "rb") as f:
result = pickle.load(f)
if (label_list[i] == "10" or label_list[i] == "20"):
continue
stat_list.append(result[stat_name])
plot_error(stat_list[-1], label=f"$\lambda_2$=cdf({-float(label_list[i])})")
print(f"label is {label_list[i]} cdf is {1-norm.cdf(float(label_list[i]))}")
plt.legend(loc="upper right")
# plt.title('Dim {:d}'.format(500))
plt.title('AlphaStar')
plt.xlabel("Training Iterations")
plt.ylabel("Negative Population Effectivity")
plt.yscale('log')
plt.savefig(os.path.join(PATH_RESULTS, 'ablation_distance_pe' + '.pdf'))
if __name__ == '__main__':
# tune_alpha_star(algo='diverge_psro')
# plot()
# comparison_for_alpha_star()
# comparison_for_group_game()
# comparision_for_pe()
# with open(os.path.join(r"/home/diverse_psro/results/20210603-112008_AlphaStar_0.5_0.85", 'data.p'), "rb") as f:
# result = pickle.load(f)
# print(result)
ablation_study()