-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathexecutable.py
179 lines (151 loc) · 4.76 KB
/
executable.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
from control import gps
from utils import render
if __name__ == "__main__":
BATCH_SIZE = 10000
CAPACITY = 10000
TRAIN_ITER = 100
MEMORY_ITER = 100
HIDDEN_SIZE = 32
learning_rate = 0.01
policy = None
def get_integer():
_valid = 0
while _valid == 0:
integer = input("->")
try:
int(integer)
if float(integer).is_integer():
_valid = 1
return int(integer)
else:
print("enter integer")
except ValueError:
print("enter integer")
def get_float():
_valid = 0
while _valid == 0:
float_ = input("->")
try:
float(float_)
_valid = 1
return float(float_)
except ValueError:
print("enter float")
env_name = None
control = None
e_trace = 1
precision = 5
valid = 0
while valid == 0:
print("enter envname, {cartpole as cart, hoppper as hope}")
env_name = input("->")
if env_name == "cart":
valid = 1
print("we can't use DDPG")
elif env_name == "hope":
valid = 1
print("enter hopper precision 3 or 5")
precision = get_integer()
else:
print("error")
model_type = None
valid = 0
while valid == 0:
print("model_free : 0, model_based : 1, meta : 2")
model_type = get_integer()
if (model_type >= 0) | (model_type < 3):
valid = 1
if model_type == 0:
valid = 0
while valid == 0:
print("enter RL control, {PG, DQN, AC, TRPO, PPO, DDPG, SAC}")
control = input("->")
if control == "PG":
valid = 1
elif control == "DQN":
valid = 1
elif control == "AC":
valid = 1
elif control == "TRPO":
valid = 1
elif control == "PPO":
valid = 1
elif control == "DDPG":
valid = 1
elif control == "SAC":
valid = 1
else:
print("error")
else:
valid = 0
while valid == 0:
print("enter RL control, {gps}")
control = input("->")
if control == "gps":
valid = 1
else:
print("error")
print("enter HIDDEN_SIZE recommend 32")
HIDDEN_SIZE = get_integer()
print("enter batchsize recommend 1000")
BATCH_SIZE = get_integer()
print("enter memory capacity recommend 1000")
CAPACITY = get_integer()
print("memory reset time recommend 100")
TRAIN_ITER = get_integer()
print("train_iteration per memory recommend 10")
MEMORY_ITER = get_integer()
print("enter learning rate recommend 0.01")
learning_rate = get_float()
print("enter eligibility trace step, if pg: 100, if gps: 1")
e_trace = get_integer()
print("done penalty, if cartpole, recommend 10")
done_penalty = get_integer()
print("load previous model 0 or 1")
load_ = input("->")
print("training? 0 or 1")
train = input("->")
arg_list = [BATCH_SIZE, CAPACITY, HIDDEN_SIZE, learning_rate,
TRAIN_ITER, MEMORY_ITER, control, env_name, e_trace, precision, done_penalty]
print(arg_list)
"""
if control == "PG":
mechanism = PG.PGPolicy(*arg_list)
mechanism.training(load=load_)
policy = mechanism.get_policy()
elif control == "DQN":
mechanism = DQN.DQNPolicy(*arg_list)
mechanism.training(load=load_)
policy = mechanism.get_policy()
elif control == "AC":
mechanism = AC.ACPolicy(*arg_list)
mechanism.training(load=load_)
policy = mechanism.get_policy()
elif control == "DDPG":
if env_name == "hope":
mechanism = DDPG.DDPGPolicy(*arg_list)
mechanism.training(load=load_)
policy = mechanism.get_policy()
else:
pass
elif control == "TRPO":
mechanism = TRPO.TRPOPolicy(*arg_list)
mechanism.training(load=load_)
policy = mechanism.get_policy()
elif control == "PPO":
mechanism = PPO.PPOPolicy(*arg_list)
mechanism.training(load=load_)
policy = mechanism.get_policy()
elif control == "SAC":
mechanism = SAC.SACPolicy(*arg_list)
mechanism.training(load=load_)
policy = mechanism.get_policy()
"""
if control == "gps":
mechanism = gps.GPS(*arg_list)
mechanism.training(load=load_)
policy = mechanism.get_policy()
else:
print("error")
my_rend = render.Render(policy, *arg_list)
my_rend.rend()