philippds commited on
Commit
7acfb93
1 Parent(s): a29a173

Upload 17 files

Browse files
Agent.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:47110265e6b97c1c7837b6ff8291a76b02d9a0a2b04adc6075d21cc38b028361
3
+ size 21336
Agent/Agent-6498432.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:271c21d7b67f4d0ec952dcd9f8a33bf58e9f37d6d30c416918efc4154a906465
3
+ size 21336
Agent/Agent-6498432.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:361977aebd8aab4940d040b3d80d6e08908981eb727186db3070ae79be5d9c5b
3
+ size 129607
Agent/Agent-6999096.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:325cbc55760f6f5f823ff9e5605618b5185319baa028feb0b71c6c1afa190985
3
+ size 21336
Agent/Agent-6999096.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ec5d2188a7922bf0186249eb4971aefb68d0ac1f786e05246abea085cfdcce22
3
+ size 129607
Agent/Agent-7498432.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c873d3eda280bf4ea4018aed03aadd8f593ec2e2692febafb965cd727d408b4f
3
+ size 21336
Agent/Agent-7498432.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d09300f459268d8e98e5feacc209f30b278e0f4d136bac49648cc3852ceed133
3
+ size 129607
Agent/Agent-7999096.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:fbe69fdae12e8f719367271472d8ef50fe0b548a9b3884886e1e25c7f1d430f0
3
+ size 21336
Agent/Agent-7999096.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:80ff5f6aca935e40cf4a1f86f6103b14d2248f5e25be50f8aa57f96a10d30f84
3
+ size 129607
Agent/Agent-8016384.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:47110265e6b97c1c7837b6ff8291a76b02d9a0a2b04adc6075d21cc38b028361
3
+ size 21336
Agent/Agent-8016384.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1c77666dbe076f0233fc4a1faffe66e1585bf3f1b9dff45ac01e4b878d68432a
3
+ size 129607
Agent/checkpoint.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1c77666dbe076f0233fc4a1faffe66e1585bf3f1b9dff45ac01e4b878d68432a
3
+ size 129607
Agent/events.out.tfevents.1715321161.RICHARD.34620.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8b1d9458128d11bba38fa3759603aaeacc3b1279653e33954ad74f459ae28059
3
+ size 224216
README.md ADDED
@@ -0,0 +1,29 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: hivex
3
+ original_train_name: WindFarmControl_pattern_4_task_0_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-0-pattern-4
11
+ results:
12
+ - task:
13
+ type: main-task
14
+ name: main_task
15
+ task-id: 0
16
+ pattern-id: 4
17
+ dataset:
18
+ name: hivex-wind-farm-control
19
+ type: hivex-wind-farm-control
20
+ metrics:
21
+ - type: cumulative_reward
22
+ value: 4613.436940917969 +/- 38.26933135242948
23
+ name: Cumulative Reward
24
+ verified: true
25
+ - type: individual_performance
26
+ value: 4613.370803222656 +/- 38.736289986043545
27
+ name: Individual Performance
28
+ verified: true
29
+ ---
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: 5005
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: 4
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: 0
81
+ name: task
82
+ completion_criteria: null
83
+ checkpoint_settings:
84
+ run_id: WindFarmControl/train/WindFarmControl_pattern_4_task_0_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 +1,371 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "name": "root",
3
+ "gauges": {
4
+ "Agent.Policy.Entropy.mean": {
5
+ "value": 1.0411146879196167,
6
+ "min": 0.8897978663444519,
7
+ "max": 1.0955674648284912,
8
+ "count": 200
9
+ },
10
+ "Agent.Policy.Entropy.sum": {
11
+ "value": 41644.5859375,
12
+ "min": 35591.9140625,
13
+ "max": 43866.5234375,
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": 9.216448783874512,
54
+ "min": 0.3187240660190582,
55
+ "max": 9.533919334411621,
56
+ "count": 200
57
+ },
58
+ "Agent.Policy.ExtrinsicValueEstimate.sum": {
59
+ "value": 221.1947784423828,
60
+ "min": 7.649377822875977,
61
+ "max": 228.81405639648438,
62
+ "count": 200
63
+ },
64
+ "Agent.Losses.PolicyLoss.mean": {
65
+ "value": 0.04835934573987735,
66
+ "min": 0.044899650071913905,
67
+ "max": 0.05528877122479672,
68
+ "count": 200
69
+ },
70
+ "Agent.Losses.PolicyLoss.sum": {
71
+ "value": 0.14507803721963206,
72
+ "min": 0.1028348121617455,
73
+ "max": 0.16586631367439017,
74
+ "count": 200
75
+ },
76
+ "Agent.Losses.ValueLoss.mean": {
77
+ "value": 0.2553932647362152,
78
+ "min": 0.08848272813373202,
79
+ "max": 1.3383621831114094,
80
+ "count": 200
81
+ },
82
+ "Agent.Losses.ValueLoss.sum": {
83
+ "value": 0.7661797942086456,
84
+ "min": 0.26544818440119605,
85
+ "max": 2.676724366222819,
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": 4560.075744628906,
138
+ "min": 264.98859548568726,
139
+ "max": 4703.660583496094,
140
+ "count": 200
141
+ },
142
+ "Agent.WindFarmControl.IndividualPerformance.sum": {
143
+ "value": 36480.60595703125,
144
+ "min": 2119.908763885498,
145
+ "max": 37629.28466796875,
146
+ "count": 200
147
+ },
148
+ "Agent.Environment.CumulativeReward.mean": {
149
+ "value": 4555.581016540527,
150
+ "min": 270.6974517374753,
151
+ "max": 4678.846115112305,
152
+ "count": 200
153
+ },
154
+ "Agent.Environment.CumulativeReward.sum": {
155
+ "value": 36444.64813232422,
156
+ "min": 2165.5796138998026,
157
+ "max": 37430.76892089844,
158
+ "count": 200
159
+ },
160
+ "Agent.Policy.ExtrinsicReward.mean": {
161
+ "value": 4555.581016540527,
162
+ "min": 270.6974517374753,
163
+ "max": 4678.846115112305,
164
+ "count": 200
165
+ },
166
+ "Agent.Policy.ExtrinsicReward.sum": {
167
+ "value": 36444.64813232422,
168
+ "min": 2165.5796138998026,
169
+ "max": 37430.76892089844,
170
+ "count": 200
171
+ },
172
+ "Agent.IsTraining.mean": {
173
+ "value": 1.0,
174
+ "min": 1.0,
175
+ "max": 1.0,
176
+ "count": 200
177
+ },
178
+ "Agent.IsTraining.sum": {
179
+ "value": 1.0,
180
+ "min": 1.0,
181
+ "max": 1.0,
182
+ "count": 200
183
+ }
184
+ },
185
+ "metadata": {
186
+ "timer_format_version": "0.1.0",
187
+ "start_time_seconds": "1715321159",
188
+ "python_version": "3.9.18 (main, Sep 11 2023, 14:09:26) [MSC v.1916 64 bit (AMD64)]",
189
+ "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_4_task_0_run_id_2_train.yaml --run-id=WindFarmControl/train/WindFarmControl_pattern_4_task_0_run_id_2_train",
190
+ "mlagents_version": "0.30.0",
191
+ "mlagents_envs_version": "0.30.0",
192
+ "communication_protocol_version": "1.5.0",
193
+ "pytorch_version": "1.7.1+cu110",
194
+ "numpy_version": "1.21.2",
195
+ "end_time_seconds": "1715324775"
196
+ },
197
+ "total": 3615.85765,
198
+ "count": 1,
199
+ "self": 0.14807340000015756,
200
+ "children": {
201
+ "run_training.setup": {
202
+ "total": 0.04615530000000001,
203
+ "count": 1,
204
+ "self": 0.04615530000000001
205
+ },
206
+ "TrainerController.start_learning": {
207
+ "total": 3615.6634212999998,
208
+ "count": 1,
209
+ "self": 10.051278000053571,
210
+ "children": {
211
+ "TrainerController._reset_env": {
212
+ "total": 2.8622021,
213
+ "count": 1,
214
+ "self": 2.8622021
215
+ },
216
+ "TrainerController.advance": {
217
+ "total": 3602.724098799946,
218
+ "count": 1002050,
219
+ "self": 9.675212799854762,
220
+ "children": {
221
+ "env_step": {
222
+ "total": 3593.0488860000914,
223
+ "count": 1002050,
224
+ "self": 1634.1075297999257,
225
+ "children": {
226
+ "SubprocessEnvManager._take_step": {
227
+ "total": 1953.6686789001872,
228
+ "count": 1002050,
229
+ "self": 25.19033400019339,
230
+ "children": {
231
+ "TorchPolicy.evaluate": {
232
+ "total": 1928.4783448999938,
233
+ "count": 1002050,
234
+ "self": 1928.4783448999938
235
+ }
236
+ }
237
+ },
238
+ "workers": {
239
+ "total": 5.272677299978633,
240
+ "count": 1002050,
241
+ "self": 0.0,
242
+ "children": {
243
+ "worker_root": {
244
+ "total": 3597.401679599778,
245
+ "count": 1002050,
246
+ "is_parallel": true,
247
+ "self": 2629.832989799741,
248
+ "children": {
249
+ "steps_from_proto": {
250
+ "total": 0.00024040000000002948,
251
+ "count": 1,
252
+ "is_parallel": true,
253
+ "self": 0.00011179999999999524,
254
+ "children": {
255
+ "_process_rank_one_or_two_observation": {
256
+ "total": 0.00012860000000003424,
257
+ "count": 2,
258
+ "is_parallel": true,
259
+ "self": 0.00012860000000003424
260
+ }
261
+ }
262
+ },
263
+ "UnityEnvironment.step": {
264
+ "total": 967.5684494000373,
265
+ "count": 1002050,
266
+ "is_parallel": true,
267
+ "self": 45.95579939999277,
268
+ "children": {
269
+ "UnityEnvironment._generate_step_input": {
270
+ "total": 63.92699119974378,
271
+ "count": 1002050,
272
+ "is_parallel": true,
273
+ "self": 63.92699119974378
274
+ },
275
+ "communicator.exchange": {
276
+ "total": 734.384588600184,
277
+ "count": 1002050,
278
+ "is_parallel": true,
279
+ "self": 734.384588600184
280
+ },
281
+ "steps_from_proto": {
282
+ "total": 123.30107020011667,
283
+ "count": 1002050,
284
+ "is_parallel": true,
285
+ "self": 68.05727880013004,
286
+ "children": {
287
+ "_process_rank_one_or_two_observation": {
288
+ "total": 55.243791399986634,
289
+ "count": 2004100,
290
+ "is_parallel": true,
291
+ "self": 55.243791399986634
292
+ }
293
+ }
294
+ }
295
+ }
296
+ }
297
+ }
298
+ }
299
+ }
300
+ }
301
+ }
302
+ }
303
+ }
304
+ },
305
+ "trainer_threads": {
306
+ "total": 2.499999982319423e-05,
307
+ "count": 1,
308
+ "self": 2.499999982319423e-05,
309
+ "children": {
310
+ "thread_root": {
311
+ "total": 0.0,
312
+ "count": 0,
313
+ "is_parallel": true,
314
+ "self": 0.0,
315
+ "children": {
316
+ "trainer_advance": {
317
+ "total": 3611.9609419999456,
318
+ "count": 117825,
319
+ "is_parallel": true,
320
+ "self": 4.313278599895966,
321
+ "children": {
322
+ "process_trajectory": {
323
+ "total": 2026.9295145000467,
324
+ "count": 117825,
325
+ "is_parallel": true,
326
+ "self": 2026.5375685000463,
327
+ "children": {
328
+ "RLTrainer._checkpoint": {
329
+ "total": 0.39194600000041646,
330
+ "count": 16,
331
+ "is_parallel": true,
332
+ "self": 0.39194600000041646
333
+ }
334
+ }
335
+ },
336
+ "_update_policy": {
337
+ "total": 1580.718148900003,
338
+ "count": 600,
339
+ "is_parallel": true,
340
+ "self": 569.663019399938,
341
+ "children": {
342
+ "TorchPPOOptimizer.update": {
343
+ "total": 1011.0551295000649,
344
+ "count": 93600,
345
+ "is_parallel": true,
346
+ "self": 1011.0551295000649
347
+ }
348
+ }
349
+ }
350
+ }
351
+ }
352
+ }
353
+ }
354
+ }
355
+ },
356
+ "TrainerController._save_models": {
357
+ "total": 0.02581740000005084,
358
+ "count": 1,
359
+ "self": 0.005632200000036391,
360
+ "children": {
361
+ "RLTrainer._checkpoint": {
362
+ "total": 0.020185200000014447,
363
+ "count": 1,
364
+ "self": 0.020185200000014447
365
+ }
366
+ }
367
+ }
368
+ }
369
+ }
370
+ }
371
+ }
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_4_task_0_run_id_2_train\\Agent\\Agent-6498432.onnx",
13
+ "reward": null,
14
+ "creation_time": 1715324097.1589324,
15
+ "auxillary_file_paths": [
16
+ "results\\WindFarmControl/train/WindFarmControl_pattern_4_task_0_run_id_2_train\\Agent\\Agent-6498432.pt"
17
+ ]
18
+ },
19
+ {
20
+ "steps": 6999096,
21
+ "file_path": "results\\WindFarmControl/train/WindFarmControl_pattern_4_task_0_run_id_2_train\\Agent\\Agent-6999096.onnx",
22
+ "reward": 4594.123160226004,
23
+ "creation_time": 1715324318.0825624,
24
+ "auxillary_file_paths": [
25
+ "results\\WindFarmControl/train/WindFarmControl_pattern_4_task_0_run_id_2_train\\Agent\\Agent-6999096.pt"
26
+ ]
27
+ },
28
+ {
29
+ "steps": 7498432,
30
+ "file_path": "results\\WindFarmControl/train/WindFarmControl_pattern_4_task_0_run_id_2_train\\Agent\\Agent-7498432.onnx",
31
+ "reward": null,
32
+ "creation_time": 1715324547.8600914,
33
+ "auxillary_file_paths": [
34
+ "results\\WindFarmControl/train/WindFarmControl_pattern_4_task_0_run_id_2_train\\Agent\\Agent-7498432.pt"
35
+ ]
36
+ },
37
+ {
38
+ "steps": 7999096,
39
+ "file_path": "results\\WindFarmControl/train/WindFarmControl_pattern_4_task_0_run_id_2_train\\Agent\\Agent-7999096.onnx",
40
+ "reward": 4552.095912388393,
41
+ "creation_time": 1715324768.5004609,
42
+ "auxillary_file_paths": [
43
+ "results\\WindFarmControl/train/WindFarmControl_pattern_4_task_0_run_id_2_train\\Agent\\Agent-7999096.pt"
44
+ ]
45
+ },
46
+ {
47
+ "steps": 8016384,
48
+ "file_path": "results\\WindFarmControl/train/WindFarmControl_pattern_4_task_0_run_id_2_train\\Agent\\Agent-8016384.onnx",
49
+ "reward": null,
50
+ "creation_time": 1715324774.9240112,
51
+ "auxillary_file_paths": [
52
+ "results\\WindFarmControl/train/WindFarmControl_pattern_4_task_0_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_4_task_0_run_id_2_train\\Agent.onnx",
59
+ "reward": null,
60
+ "creation_time": 1715324774.9240112,
61
+ "auxillary_file_paths": [
62
+ "results\\WindFarmControl/train/WindFarmControl_pattern_4_task_0_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
+ }