forked from CoderOneHQ/ultimate-volleyball
-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathVolleyball.yaml
167 lines (160 loc) · 3.53 KB
/
Volleyball.yaml
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
behaviors:
1v1:
trainer_type: ppo
hyperparameters:
batch_size: 2048
buffer_size: 20480
learning_rate: 0.01
beta: 0.003
epsilon: 0.15
lambd: 0.93
num_epoch: 4
learning_rate_schedule: constant
network_settings:
normalize: true
hidden_units: 256
num_layers: 2
vis_encode_type: simple
reward_signals:
extrinsic:
gamma: 0.96
strength: 1.0
keep_checkpoints: 5
max_steps: 20000000
time_horizon: 1000
summary_freq: 20000
self_play:
window: 10
play_against_latest_model_ratio: 0.5
save_steps: 50000
swap_steps: 10000
team_change: 200000
Manager:
trainer_type: ppo
hyperparameters:
batch_size: 2048
buffer_size: 20480
learning_rate: 0.0002
beta: 0.003
epsilon: 0.15
lambd: 0.93
num_epoch: 4
learning_rate_schedule: constant
network_settings:
normalize: true
hidden_units: 256
num_layers: 2
vis_encode_type: simple
reward_signals:
extrinsic:
gamma: 0.96
strength: 1.0
keep_checkpoints: 5
max_steps: 20000000
time_horizon: 1000
summary_freq: 20000
MoveToPosition:
trainer_type: ppo
hyperparameters:
batch_size: 2048
buffer_size: 20480
learning_rate: 0.0002
beta: 0.003
epsilon: 0.15
lambd: 0.93
num_epoch: 4
learning_rate_schedule: constant
network_settings:
normalize: true
hidden_units: 256
num_layers: 2
vis_encode_type: simple
reward_signals:
extrinsic:
gamma: 0.96
strength: 1.0
keep_checkpoints: 10000
max_steps: 20000000
time_horizon: 1000
summary_freq: 20000
MoveToBall:
trainer_type: ppo
hyperparameters:
batch_size: 2048
buffer_size: 20480
learning_rate: 0.0002
beta: 0.003
epsilon: 0.15
lambd: 0.93
num_epoch: 4
learning_rate_schedule: constant
network_settings:
normalize: true
hidden_units: 256
num_layers: 2
vis_encode_type: simple
reward_signals:
extrinsic:
gamma: 0.96
strength: 1.0
keep_checkpoints: 5
max_steps: 20000000
time_horizon: 1000
summary_freq: 20000
SendBallTo:
trainer_type: ppo
hyperparameters:
batch_size: 2048
buffer_size: 20480
learning_rate: 0.0002
beta: 0.003
epsilon: 0.15
lambd: 0.93
num_epoch: 4
learning_rate_schedule: constant
network_settings:
normalize: true
hidden_units: 256
num_layers: 2
vis_encode_type: simple
reward_signals:
extrinsic:
gamma: 0.96
strength: 1.0
keep_checkpoints: 100
checkpoint_interval: 500000
max_steps: 50000000
time_horizon: 1000
summary_freq: 20000
Manager:
trainer_type: ppo
hyperparameters:
batch_size: 2048
buffer_size: 20480
learning_rate: 0.0002
beta: 0.003
epsilon: 0.15
lambd: 0.93
num_epoch: 4
learning_rate_schedule: constant
network_settings:
normalize: true
hidden_units: 256
num_layers: 2
vis_encode_type: simple
reward_signals:
extrinsic:
gamma: 0.96
strength: 1.0
keep_checkpoints: 1000
max_steps: 50000000
time_horizon: 1000
summary_freq: 20000
self_play:
window: 10
play_against_latest_model_ratio: 0.5
save_steps: 50000
swap_steps: 10000
team_change: 200000
torch_settings:
device: cuda