Hugging Face's logo

hivex-research
/
hivex-WFC-PPO-baseline-task-1-pattern-8

Reinforcement Learning
TensorBoard
ONNX
hivex
hivex-wind-farm-control
multi-agent-reinforcement-learning
Eval Results
Model card Files Metrics Community
philippds commited on
Commit
3b8b3a0
•
1 Parent(s): 798efae

Upload 17 files

Browse files
Files changed (17) hide show
  1. Agent.onnx +3 -0
  2. Agent/Agent-6498432.onnx +3 -0
  3. Agent/Agent-6498432.pt +3 -0
  4. Agent/Agent-6999096.onnx +3 -0
  5. Agent/Agent-6999096.pt +3 -0
  6. Agent/Agent-7498432.onnx +3 -0
  7. Agent/Agent-7498432.pt +3 -0
  8. Agent/Agent-7999096.onnx +3 -0
  9. Agent/Agent-7999096.pt +3 -0
  10. Agent/Agent-8016384.onnx +3 -0
  11. Agent/Agent-8016384.pt +3 -0
  12. Agent/checkpoint.pt +3 -0
  13. Agent/events.out.tfevents.1716310232.RICHARD.13904.0 +3 -0
  14. README.md +33 -0
  15. configuration.yaml +94 -0
  16. run_logs/timers.json +383 -0
  17. run_logs/training_status.json +71 -0
Agent.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c2f8adda539444f2f415a663112aa6c738e7ba87dbb824f693d288801f34347e
3
+ size 21336
Agent/Agent-6498432.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a05f7e1ef5d598207a0ae6928a6d11e4fcf46eda4ec80cfb0cedbb4888a07f85
3
+ size 21336
Agent/Agent-6498432.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0bc07669fc7bab70851ab8194e5218e2cd31d7b67cca1e5384696441c2202848
3
+ size 129607
Agent/Agent-6999096.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:80300a3933ce6ad7dcecc933d52c4d9e88829331900664d57198176e9f4a08bb
3
+ size 21336
Agent/Agent-6999096.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d01e1b1c28cbca1b7972f19a3452fccde2072dbc1ed10a508a57768242dfe8a5
3
+ size 129607
Agent/Agent-7498432.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2c2bc62fb06061c5c1674460a76bbc091c5c0b9f90200af8d53dcdeac613750c
3
+ size 21336
Agent/Agent-7498432.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:99f4a0380f58d53c9c2de832e7ea141895dec1306dc756b4e7ab08c0602d14ce
3
+ size 129607
Agent/Agent-7999096.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:dc27773b55cc0788abdea88d56feb9c2d2001a94235bb2afecc435a53d0bcab5
3
+ size 21336
Agent/Agent-7999096.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7aa10ccd2b29efd8daed2c8b917b27a0732c8c0421bff0ac31840a278fb4ec55
3
+ size 129607
Agent/Agent-8016384.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c2f8adda539444f2f415a663112aa6c738e7ba87dbb824f693d288801f34347e
3
+ size 21336
Agent/Agent-8016384.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ecee4e98f2b1d0c54b49796553074bd6337813b9524a0fa16e3698d5059f4566
3
+ size 129607
Agent/checkpoint.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ecee4e98f2b1d0c54b49796553074bd6337813b9524a0fa16e3698d5059f4566
3
+ size 129607
Agent/events.out.tfevents.1716310232.RICHARD.13904.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:26788ec95a8072e3ae50a0a6e227148fe03489ca9f64384a1e7e38d01af7d527
3
+ size 221481
README.md ADDED
@@ -0,0 +1,33 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: hivex
3
+ original_train_name: WindFarmControl_pattern_8_task_1_run_id_2_train
4
+ tags:
5
+ - hivex
6
+ - hivex-wind-farm-control
7
+ - reinforcement-learning
8
+ - multi-agent-reinforcement-learning
9
+ model-index:
10
+ - name: hivex-WFC-PPO-baseline-task-1-pattern-8
11
+ results:
12
+ - task:
13
+ type: sub-task
14
+ name: avoid_damage
15
+ task-id: 1
16
+ pattern-id: 8
17
+ dataset:
18
+ name: hivex-wind-farm-control
19
+ type: hivex-wind-farm-control
20
+ metrics:
21
+ - type: cumulative_reward
22
+ value: 4809.995881347656 +/- 59.342603372525524
23
+ name: Cumulative Reward
24
+ verified: true
25
+ - type: avoid_damage_reward
26
+ value: 4810.060444335937 +/- 62.5605922005838
27
+ name: Avoid Damage Reward
28
+ verified: true
29
+ - type: individual_performance
30
+ value: 0.0 +/- 0.0
31
+ name: Individual Performance
32
+ verified: true
33
+ ---
configuration.yaml ADDED
@@ -0,0 +1,94 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ default_settings: null
2
+ behaviors:
3
+ Agent:
4
+ trainer_type: ppo
5
+ hyperparameters:
6
+ batch_size: 256
7
+ buffer_size: 2048
8
+ learning_rate: 0.0003
9
+ beta: 0.005
10
+ epsilon: 0.2
11
+ lambd: 0.95
12
+ num_epoch: 3
13
+ shared_critic: false
14
+ learning_rate_schedule: linear
15
+ beta_schedule: linear
16
+ epsilon_schedule: linear
17
+ network_settings:
18
+ normalize: false
19
+ hidden_units: 64
20
+ num_layers: 2
21
+ vis_encode_type: simple
22
+ memory: null
23
+ goal_conditioning_type: hyper
24
+ deterministic: false
25
+ reward_signals:
26
+ extrinsic:
27
+ gamma: 0.9
28
+ strength: 1.0
29
+ network_settings:
30
+ normalize: false
31
+ hidden_units: 128
32
+ num_layers: 2
33
+ vis_encode_type: simple
34
+ memory: null
35
+ goal_conditioning_type: hyper
36
+ deterministic: false
37
+ init_path: null
38
+ keep_checkpoints: 5
39
+ checkpoint_interval: 500000
40
+ max_steps: 8000000
41
+ time_horizon: 2048
42
+ summary_freq: 40000
43
+ threaded: true
44
+ self_play: null
45
+ behavioral_cloning: null
46
+ env_settings:
47
+ env_path: c:/users/pdsie/documents/hivex/src/hivex/training/baseline/ml_agents/dev_environments/Hivex_WindFarmControl_win
48
+ env_args: null
49
+ base_port: 5009
50
+ num_envs: 1
51
+ num_areas: 1
52
+ seed: 5000
53
+ max_lifetime_restarts: 10
54
+ restarts_rate_limit_n: 1
55
+ restarts_rate_limit_period_s: 60
56
+ engine_settings:
57
+ width: 84
58
+ height: 84
59
+ quality_level: 5
60
+ time_scale: 20
61
+ target_frame_rate: -1
62
+ capture_frame_rate: 60
63
+ no_graphics: true
64
+ environment_parameters:
65
+ pattern:
66
+ curriculum:
67
+ - value:
68
+ sampler_type: constant
69
+ sampler_parameters:
70
+ seed: 5000
71
+ value: 8
72
+ name: pattern
73
+ completion_criteria: null
74
+ task:
75
+ curriculum:
76
+ - value:
77
+ sampler_type: constant
78
+ sampler_parameters:
79
+ seed: 5001
80
+ value: 1
81
+ name: task
82
+ completion_criteria: null
83
+ checkpoint_settings:
84
+ run_id: WindFarmControl/train/WindFarmControl_pattern_8_task_1_run_id_2_train
85
+ initialize_from: null
86
+ load_model: false
87
+ resume: false
88
+ force: false
89
+ train_model: false
90
+ inference: false
91
+ results_dir: results
92
+ torch_settings:
93
+ device: null
94
+ debug: false
run_logs/timers.json ADDED
@@ -0,0 +1,383 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "name": "root",
3
+ "gauges": {
4
+ "Agent.Policy.Entropy.mean": {
5
+ "value": 0.7487905025482178,
6
+ "min": 0.5864184498786926,
7
+ "max": 1.0954581499099731,
8
+ "count": 200
9
+ },
10
+ "Agent.Policy.Entropy.sum": {
11
+ "value": 29963.599609375,
12
+ "min": 23452.046875,
13
+ "max": 43888.4375,
14
+ "count": 200
15
+ },
16
+ "Agent.Environment.LessonNumber.pattern.mean": {
17
+ "value": 0.0,
18
+ "min": 0.0,
19
+ "max": 0.0,
20
+ "count": 200
21
+ },
22
+ "Agent.Environment.LessonNumber.pattern.sum": {
23
+ "value": 0.0,
24
+ "min": 0.0,
25
+ "max": 0.0,
26
+ "count": 200
27
+ },
28
+ "Agent.Environment.LessonNumber.task.mean": {
29
+ "value": 0.0,
30
+ "min": 0.0,
31
+ "max": 0.0,
32
+ "count": 200
33
+ },
34
+ "Agent.Environment.LessonNumber.task.sum": {
35
+ "value": 0.0,
36
+ "min": 0.0,
37
+ "max": 0.0,
38
+ "count": 200
39
+ },
40
+ "Agent.Step.mean": {
41
+ "value": 7999096.0,
42
+ "min": 39096.0,
43
+ "max": 7999096.0,
44
+ "count": 200
45
+ },
46
+ "Agent.Step.sum": {
47
+ "value": 7999096.0,
48
+ "min": 39096.0,
49
+ "max": 7999096.0,
50
+ "count": 200
51
+ },
52
+ "Agent.Policy.ExtrinsicValueEstimate.mean": {
53
+ "value": 9.750008583068848,
54
+ "min": 2.483990430831909,
55
+ "max": 9.794022560119629,
56
+ "count": 200
57
+ },
58
+ "Agent.Policy.ExtrinsicValueEstimate.sum": {
59
+ "value": 234.00021362304688,
60
+ "min": 57.131778717041016,
61
+ "max": 235.05654907226562,
62
+ "count": 200
63
+ },
64
+ "Agent.Losses.PolicyLoss.mean": {
65
+ "value": 0.05110003270746102,
66
+ "min": 0.04344587100497429,
67
+ "max": 0.05577823658319494,
68
+ "count": 200
69
+ },
70
+ "Agent.Losses.PolicyLoss.sum": {
71
+ "value": 0.15330009812238304,
72
+ "min": 0.09584244352057189,
73
+ "max": 0.1673347097495848,
74
+ "count": 200
75
+ },
76
+ "Agent.Losses.ValueLoss.mean": {
77
+ "value": 0.0048299082340928995,
78
+ "min": 0.0035734779088208656,
79
+ "max": 4.954870798625052,
80
+ "count": 200
81
+ },
82
+ "Agent.Losses.ValueLoss.sum": {
83
+ "value": 0.0144897247022787,
84
+ "min": 0.010720433726462596,
85
+ "max": 9.909741597250104,
86
+ "count": 200
87
+ },
88
+ "Agent.Policy.LearningRate.mean": {
89
+ "value": 8.856997047999973e-07,
90
+ "min": 8.856997047999973e-07,
91
+ "max": 0.00029907840030719997,
92
+ "count": 200
93
+ },
94
+ "Agent.Policy.LearningRate.sum": {
95
+ "value": 2.657099114399992e-06,
96
+ "min": 2.657099114399992e-06,
97
+ "max": 0.0008936568021144,
98
+ "count": 200
99
+ },
100
+ "Agent.Policy.Epsilon.mean": {
101
+ "value": 0.10029520000000001,
102
+ "min": 0.10029520000000001,
103
+ "max": 0.1996928,
104
+ "count": 200
105
+ },
106
+ "Agent.Policy.Epsilon.sum": {
107
+ "value": 0.30088560000000003,
108
+ "min": 0.30088560000000003,
109
+ "max": 0.5978856,
110
+ "count": 200
111
+ },
112
+ "Agent.Policy.Beta.mean": {
113
+ "value": 2.4730479999999958e-05,
114
+ "min": 2.4730479999999958e-05,
115
+ "max": 0.004984670720000001,
116
+ "count": 200
117
+ },
118
+ "Agent.Policy.Beta.sum": {
119
+ "value": 7.419143999999988e-05,
120
+ "min": 7.419143999999988e-05,
121
+ "max": 0.014894491440000001,
122
+ "count": 200
123
+ },
124
+ "Agent.Environment.EpisodeLength.mean": {
125
+ "value": 4999.0,
126
+ "min": 4999.0,
127
+ "max": 4999.0,
128
+ "count": 200
129
+ },
130
+ "Agent.Environment.EpisodeLength.sum": {
131
+ "value": 39992.0,
132
+ "min": 39992.0,
133
+ "max": 39992.0,
134
+ "count": 200
135
+ },
136
+ "Agent.WindFarmControl.IndividualPerformance.mean": {
137
+ "value": 0.0,
138
+ "min": 0.0,
139
+ "max": 0.0,
140
+ "count": 200
141
+ },
142
+ "Agent.WindFarmControl.IndividualPerformance.sum": {
143
+ "value": 0.0,
144
+ "min": 0.0,
145
+ "max": 0.0,
146
+ "count": 200
147
+ },
148
+ "Agent.WindFarmControl.AvoidDamageReward.mean": {
149
+ "value": 4855.470642089844,
150
+ "min": 1496.6440200805664,
151
+ "max": 4889.613586425781,
152
+ "count": 200
153
+ },
154
+ "Agent.WindFarmControl.AvoidDamageReward.sum": {
155
+ "value": 38843.76513671875,
156
+ "min": 11973.152160644531,
157
+ "max": 39116.90869140625,
158
+ "count": 200
159
+ },
160
+ "Agent.Environment.CumulativeReward.mean": {
161
+ "value": 4851.871337890625,
162
+ "min": 1742.0011529922485,
163
+ "max": 4893.7439041137695,
164
+ "count": 200
165
+ },
166
+ "Agent.Environment.CumulativeReward.sum": {
167
+ "value": 38814.970703125,
168
+ "min": 13936.009223937988,
169
+ "max": 39149.951232910156,
170
+ "count": 200
171
+ },
172
+ "Agent.Policy.ExtrinsicReward.mean": {
173
+ "value": 4851.871337890625,
174
+ "min": 1742.0011529922485,
175
+ "max": 4893.7439041137695,
176
+ "count": 200
177
+ },
178
+ "Agent.Policy.ExtrinsicReward.sum": {
179
+ "value": 38814.970703125,
180
+ "min": 13936.009223937988,
181
+ "max": 39149.951232910156,
182
+ "count": 200
183
+ },
184
+ "Agent.IsTraining.mean": {
185
+ "value": 1.0,
186
+ "min": 1.0,
187
+ "max": 1.0,
188
+ "count": 200
189
+ },
190
+ "Agent.IsTraining.sum": {
191
+ "value": 1.0,
192
+ "min": 1.0,
193
+ "max": 1.0,
194
+ "count": 200
195
+ }
196
+ },
197
+ "metadata": {
198
+ "timer_format_version": "0.1.0",
199
+ "start_time_seconds": "1716310229",
200
+ "python_version": "3.9.18 (main, Sep 11 2023, 14:09:26) [MSC v.1916 64 bit (AMD64)]",
201
+ "command_line_arguments": "C:\\Users\\pdsie\\anaconda3\\envs\\mlagents20\\Scripts\\mlagents-learn c:/users/pdsie/documents/hivex/src/hivex/training/baseline/ml_agents/configs/mlagents/tmp/train/WindFarmControl_pattern_8_task_1_run_id_2_train.yaml --run-id=WindFarmControl/train/WindFarmControl_pattern_8_task_1_run_id_2_train --base-port 5009",
202
+ "mlagents_version": "0.30.0",
203
+ "mlagents_envs_version": "0.30.0",
204
+ "communication_protocol_version": "1.5.0",
205
+ "pytorch_version": "1.7.1+cu110",
206
+ "numpy_version": "1.21.2",
207
+ "end_time_seconds": "1716315736"
208
+ },
209
+ "total": 5507.6809619000005,
210
+ "count": 1,
211
+ "self": 0.20196660000056,
212
+ "children": {
213
+ "run_training.setup": {
214
+ "total": 0.061003200000000035,
215
+ "count": 1,
216
+ "self": 0.061003200000000035
217
+ },
218
+ "TrainerController.start_learning": {
219
+ "total": 5507.4179920999995,
220
+ "count": 1,
221
+ "self": 18.071718999837685,
222
+ "children": {
223
+ "TrainerController._reset_env": {
224
+ "total": 3.8922267999999995,
225
+ "count": 1,
226
+ "self": 3.8922267999999995
227
+ },
228
+ "TrainerController.advance": {
229
+ "total": 5485.418861400161,
230
+ "count": 1002050,
231
+ "self": 15.549165599899425,
232
+ "children": {
233
+ "env_step": {
234
+ "total": 5469.869695800262,
235
+ "count": 1002050,
236
+ "self": 2110.8445559002266,
237
+ "children": {
238
+ "SubprocessEnvManager._take_step": {
239
+ "total": 3350.797693199916,
240
+ "count": 1002050,
241
+ "self": 35.539810699322516,
242
+ "children": {
243
+ "TorchPolicy.evaluate": {
244
+ "total": 3315.2578825005935,
245
+ "count": 1002050,
246
+ "self": 3315.2578825005935
247
+ }
248
+ }
249
+ },
250
+ "workers": {
251
+ "total": 8.227446700119302,
252
+ "count": 1002050,
253
+ "self": 0.0,
254
+ "children": {
255
+ "worker_root": {
256
+ "total": 5485.25349300001,
257
+ "count": 1002050,
258
+ "is_parallel": true,
259
+ "self": 4229.318325200127,
260
+ "children": {
261
+ "steps_from_proto": {
262
+ "total": 0.00026780000000004023,
263
+ "count": 1,
264
+ "is_parallel": true,
265
+ "self": 0.0001335000000000086,
266
+ "children": {
267
+ "_process_rank_one_or_two_observation": {
268
+ "total": 0.00013430000000003162,
269
+ "count": 2,
270
+ "is_parallel": true,
271
+ "self": 0.00013430000000003162
272
+ }
273
+ }
274
+ },
275
+ "UnityEnvironment.step": {
276
+ "total": 1255.934899999883,
277
+ "count": 1002050,
278
+ "is_parallel": true,
279
+ "self": 58.66727299893978,
280
+ "children": {
281
+ "UnityEnvironment._generate_step_input": {
282
+ "total": 78.03818370012502,
283
+ "count": 1002050,
284
+ "is_parallel": true,
285
+ "self": 78.03818370012502
286
+ },
287
+ "communicator.exchange": {
288
+ "total": 952.499582400736,
289
+ "count": 1002050,
290
+ "is_parallel": true,
291
+ "self": 952.499582400736
292
+ },
293
+ "steps_from_proto": {
294
+ "total": 166.72986090008226,
295
+ "count": 1002050,
296
+ "is_parallel": true,
297
+ "self": 89.93004990013088,
298
+ "children": {
299
+ "_process_rank_one_or_two_observation": {
300
+ "total": 76.79981099995138,
301
+ "count": 2004100,
302
+ "is_parallel": true,
303
+ "self": 76.79981099995138
304
+ }
305
+ }
306
+ }
307
+ }
308
+ }
309
+ }
310
+ }
311
+ }
312
+ }
313
+ }
314
+ }
315
+ }
316
+ },
317
+ "trainer_threads": {
318
+ "total": 3.240000023652101e-05,
319
+ "count": 1,
320
+ "self": 3.240000023652101e-05,
321
+ "children": {
322
+ "thread_root": {
323
+ "total": 0.0,
324
+ "count": 0,
325
+ "is_parallel": true,
326
+ "self": 0.0,
327
+ "children": {
328
+ "trainer_advance": {
329
+ "total": 5501.4550517000525,
330
+ "count": 174875,
331
+ "is_parallel": true,
332
+ "self": 9.243340100028945,
333
+ "children": {
334
+ "process_trajectory": {
335
+ "total": 2972.4364139000236,
336
+ "count": 174875,
337
+ "is_parallel": true,
338
+ "self": 2971.8741748000252,
339
+ "children": {
340
+ "RLTrainer._checkpoint": {
341
+ "total": 0.5622390999982372,
342
+ "count": 16,
343
+ "is_parallel": true,
344
+ "self": 0.5622390999982372
345
+ }
346
+ }
347
+ },
348
+ "_update_policy": {
349
+ "total": 2519.7752977,
350
+ "count": 600,
351
+ "is_parallel": true,
352
+ "self": 741.8472785000695,
353
+ "children": {
354
+ "TorchPPOOptimizer.update": {
355
+ "total": 1777.9280191999305,
356
+ "count": 93600,
357
+ "is_parallel": true,
358
+ "self": 1777.9280191999305
359
+ }
360
+ }
361
+ }
362
+ }
363
+ }
364
+ }
365
+ }
366
+ }
367
+ },
368
+ "TrainerController._save_models": {
369
+ "total": 0.03515250000054948,
370
+ "count": 1,
371
+ "self": 0.006966900000406895,
372
+ "children": {
373
+ "RLTrainer._checkpoint": {
374
+ "total": 0.028185600000142585,
375
+ "count": 1,
376
+ "self": 0.028185600000142585
377
+ }
378
+ }
379
+ }
380
+ }
381
+ }
382
+ }
383
+ }
run_logs/training_status.json ADDED
@@ -0,0 +1,71 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "pattern": {
3
+ "lesson_num": 0
4
+ },
5
+ "task": {
6
+ "lesson_num": 0
7
+ },
8
+ "Agent": {
9
+ "checkpoints": [
10
+ {
11
+ "steps": 6498432,
12
+ "file_path": "results\\WindFarmControl/train/WindFarmControl_pattern_8_task_1_run_id_2_train\\Agent\\Agent-6498432.onnx",
13
+ "reward": null,
14
+ "creation_time": 1716314775.2985163,
15
+ "auxillary_file_paths": [
16
+ "results\\WindFarmControl/train/WindFarmControl_pattern_8_task_1_run_id_2_train\\Agent\\Agent-6498432.pt"
17
+ ]
18
+ },
19
+ {
20
+ "steps": 6999096,
21
+ "file_path": "results\\WindFarmControl/train/WindFarmControl_pattern_8_task_1_run_id_2_train\\Agent\\Agent-6999096.onnx",
22
+ "reward": 4840.210780552456,
23
+ "creation_time": 1716315088.937345,
24
+ "auxillary_file_paths": [
25
+ "results\\WindFarmControl/train/WindFarmControl_pattern_8_task_1_run_id_2_train\\Agent\\Agent-6999096.pt"
26
+ ]
27
+ },
28
+ {
29
+ "steps": 7498432,
30
+ "file_path": "results\\WindFarmControl/train/WindFarmControl_pattern_8_task_1_run_id_2_train\\Agent\\Agent-7498432.onnx",
31
+ "reward": null,
32
+ "creation_time": 1716315413.0579183,
33
+ "auxillary_file_paths": [
34
+ "results\\WindFarmControl/train/WindFarmControl_pattern_8_task_1_run_id_2_train\\Agent\\Agent-7498432.pt"
35
+ ]
36
+ },
37
+ {
38
+ "steps": 7999096,
39
+ "file_path": "results\\WindFarmControl/train/WindFarmControl_pattern_8_task_1_run_id_2_train\\Agent\\Agent-7999096.onnx",
40
+ "reward": 4842.530552455357,
41
+ "creation_time": 1716315727.8437054,
42
+ "auxillary_file_paths": [
43
+ "results\\WindFarmControl/train/WindFarmControl_pattern_8_task_1_run_id_2_train\\Agent\\Agent-7999096.pt"
44
+ ]
45
+ },
46
+ {
47
+ "steps": 8016384,
48
+ "file_path": "results\\WindFarmControl/train/WindFarmControl_pattern_8_task_1_run_id_2_train\\Agent\\Agent-8016384.onnx",
49
+ "reward": null,
50
+ "creation_time": 1716315736.7861452,
51
+ "auxillary_file_paths": [
52
+ "results\\WindFarmControl/train/WindFarmControl_pattern_8_task_1_run_id_2_train\\Agent\\Agent-8016384.pt"
53
+ ]
54
+ }
55
+ ],
56
+ "final_checkpoint": {
57
+ "steps": 8016384,
58
+ "file_path": "results\\WindFarmControl/train/WindFarmControl_pattern_8_task_1_run_id_2_train\\Agent.onnx",
59
+ "reward": null,
60
+ "creation_time": 1716315736.7861452,
61
+ "auxillary_file_paths": [
62
+ "results\\WindFarmControl/train/WindFarmControl_pattern_8_task_1_run_id_2_train\\Agent\\Agent-8016384.pt"
63
+ ]
64
+ }
65
+ },
66
+ "metadata": {
67
+ "stats_format_version": "0.3.0",
68
+ "mlagents_version": "0.30.0",
69
+ "torch_version": "1.7.1+cu110"
70
+ }
71
+ }