Hugging Face's logo

hivex-research
/
hivex-WFC-PPO-baseline-task-1-pattern-0

Reinforcement Learning
TensorBoard
ONNX
hivex
hivex-wind-farm-control
multi-agent-reinforcement-learning
Eval Results
Model card Files Metrics Community
philippds commited on
Commit
be83118
•
1 Parent(s): f599f29

Upload 16 files

Browse files
Files changed (16) 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.1715223996.RICHARD.27388.0 +3 -0
  14. configuration.yaml +94 -0
  15. run_logs/timers.json +383 -0
  16. 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 sha256:5829995551f450fc5dccc306f5259e46c13456f072cbd4058ee83dcd0a4936fa
3
+ size 21336
Agent/Agent-6498432.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ec78e94dc9a2c2d66886eee80e888a1d2055bc59a38a161f53d0c07c77e6bcec
3
+ size 21336
Agent/Agent-6498432.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ba88771fec350b276db217cfd17d06157511b086f274eb53dd762c380a2d1e88
3
+ size 129607
Agent/Agent-6999096.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f90d1e5b1a91ce54cc72ce5777994cb784a2dbc1ce5c166bd3f66b36c92a2e4d
3
+ size 21336
Agent/Agent-6999096.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f2e32d0a64491fa5d4d30a056e4ef65187b3ef90852b9daa8e598f067ebd2116
3
+ size 129607
Agent/Agent-7498432.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:37f8ee53a90d8ff1c81b5b82a66e689012808285013e5c96c8ffcc9021450ded
3
+ size 21336
Agent/Agent-7498432.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c15be48e635cb15cebd28ce922c9e7b4f72524d4aaa4fcc9e05e41a18d49dcdc
3
+ size 129607
Agent/Agent-7999096.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0ade2cb16bdadc4c0d50867483c5e3e8d3fe053c5ecf68f37eff44cdc20ad933
3
+ size 21336
Agent/Agent-7999096.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:815306aad8dcf3a6644012f69936015e9e39cd13f6dd6bbae3846015e239ab89
3
+ size 129607
Agent/Agent-8016384.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5829995551f450fc5dccc306f5259e46c13456f072cbd4058ee83dcd0a4936fa
3
+ size 21336
Agent/Agent-8016384.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a687f9516507b9ddd361ef2dcaa7b24088cf759c5f75719e50bb83a85064bcdc
3
+ size 129607
Agent/checkpoint.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a687f9516507b9ddd361ef2dcaa7b24088cf759c5f75719e50bb83a85064bcdc
3
+ size 129607
Agent/events.out.tfevents.1715223996.RICHARD.27388.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:14ea8f8fa466aaa33e880b6d7f01135c7795eee074b68b47f38c3ae19b9c307a
3
+ size 220651
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: 0
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_0_task_1_run_id_1_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": 0.8369514346122742,
6
+ "min": 0.7041160464286804,
7
+ "max": 1.096243143081665,
8
+ "count": 200
9
+ },
10
+ "Agent.Policy.Entropy.sum": {
11
+ "value": 33437.8828125,
12
+ "min": 28164.642578125,
13
+ "max": 43923.046875,
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": 9.684854507446289,
54
+ "min": 2.500913619995117,
55
+ "max": 9.834071159362793,
56
+ "count": 200
57
+ },
58
+ "Agent.Policy.ExtrinsicValueEstimate.sum": {
59
+ "value": 232.43650817871094,
60
+ "min": 57.52101516723633,
61
+ "max": 236.01771545410156,
62
+ "count": 200
63
+ },
64
+ "Agent.Losses.PolicyLoss.mean": {
65
+ "value": 0.049085859985285744,
66
+ "min": 0.044494879220326855,
67
+ "max": 0.05536894917618373,
68
+ "count": 200
69
+ },
70
+ "Agent.Losses.PolicyLoss.sum": {
71
+ "value": 0.14725757995585723,
72
+ "min": 0.10143189857626567,
73
+ "max": 0.16610684752855118,
74
+ "count": 200
75
+ },
76
+ "Agent.Losses.ValueLoss.mean": {
77
+ "value": 0.004120568159845471,
78
+ "min": 0.0032556263632281955,
79
+ "max": 3.8101579174399376,
80
+ "count": 200
81
+ },
82
+ "Agent.Losses.ValueLoss.sum": {
83
+ "value": 0.012361704479536413,
84
+ "min": 0.009766879089684587,
85
+ "max": 8.377534157729574,
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": 4813.619445800781,
150
+ "min": 1820.528305053711,
151
+ "max": 4881.165771484375,
152
+ "count": 200
153
+ },
154
+ "Agent.WindFarmControl.AvoidDamageReward.sum": {
155
+ "value": 38508.95556640625,
156
+ "min": 14564.226440429688,
157
+ "max": 39049.326171875,
158
+ "count": 200
159
+ },
160
+ "Agent.Environment.CumulativeReward.mean": {
161
+ "value": 4833.473846435547,
162
+ "min": 1856.2481536865234,
163
+ "max": 4879.948081970215,
164
+ "count": 200
165
+ },
166
+ "Agent.Environment.CumulativeReward.sum": {
167
+ "value": 38667.790771484375,
168
+ "min": 14849.985229492188,
169
+ "max": 39039.58465576172,
170
+ "count": 200
171
+ },
172
+ "Agent.Policy.ExtrinsicReward.mean": {
173
+ "value": 4833.473846435547,
174
+ "min": 1856.2481536865234,
175
+ "max": 4879.948081970215,
176
+ "count": 200
177
+ },
178
+ "Agent.Policy.ExtrinsicReward.sum": {
179
+ "value": 38667.790771484375,
180
+ "min": 14849.985229492188,
181
+ "max": 39039.58465576172,
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": "1715223994",
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_0_task_1_run_id_1_train.yaml --run-id=WindFarmControl/train/WindFarmControl_pattern_0_task_1_run_id_1_train",
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": "1715227591"
208
+ },
209
+ "total": 3597.5215922,
210
+ "count": 1,
211
+ "self": 0.16180160000021715,
212
+ "children": {
213
+ "run_training.setup": {
214
+ "total": 0.04441890000000004,
215
+ "count": 1,
216
+ "self": 0.04441890000000004
217
+ },
218
+ "TrainerController.start_learning": {
219
+ "total": 3597.3153717,
220
+ "count": 1,
221
+ "self": 10.482027900219236,
222
+ "children": {
223
+ "TrainerController._reset_env": {
224
+ "total": 2.8562113,
225
+ "count": 1,
226
+ "self": 2.8562113
227
+ },
228
+ "TrainerController.advance": {
229
+ "total": 3583.9521339997805,
230
+ "count": 1002052,
231
+ "self": 9.5586081996762,
232
+ "children": {
233
+ "env_step": {
234
+ "total": 3574.3935258001043,
235
+ "count": 1002052,
236
+ "self": 1481.5759796009006,
237
+ "children": {
238
+ "SubprocessEnvManager._take_step": {
239
+ "total": 2087.161718399625,
240
+ "count": 1002052,
241
+ "self": 25.33664059985449,
242
+ "children": {
243
+ "TorchPolicy.evaluate": {
244
+ "total": 2061.8250777997705,
245
+ "count": 1002052,
246
+ "self": 2061.8250777997705
247
+ }
248
+ }
249
+ },
250
+ "workers": {
251
+ "total": 5.655827799578606,
252
+ "count": 1002052,
253
+ "self": 0.0,
254
+ "children": {
255
+ "worker_root": {
256
+ "total": 3583.0113568997517,
257
+ "count": 1002052,
258
+ "is_parallel": true,
259
+ "self": 2729.947583199875,
260
+ "children": {
261
+ "steps_from_proto": {
262
+ "total": 0.0003031000000000006,
263
+ "count": 1,
264
+ "is_parallel": true,
265
+ "self": 0.00012020000000001474,
266
+ "children": {
267
+ "_process_rank_one_or_two_observation": {
268
+ "total": 0.00018289999999998585,
269
+ "count": 2,
270
+ "is_parallel": true,
271
+ "self": 0.00018289999999998585
272
+ }
273
+ }
274
+ },
275
+ "UnityEnvironment.step": {
276
+ "total": 853.0634705998764,
277
+ "count": 1002052,
278
+ "is_parallel": true,
279
+ "self": 41.9990484997229,
280
+ "children": {
281
+ "UnityEnvironment._generate_step_input": {
282
+ "total": 63.74244350002685,
283
+ "count": 1002052,
284
+ "is_parallel": true,
285
+ "self": 63.74244350002685
286
+ },
287
+ "communicator.exchange": {
288
+ "total": 631.3923290999431,
289
+ "count": 1002052,
290
+ "is_parallel": true,
291
+ "self": 631.3923290999431
292
+ },
293
+ "steps_from_proto": {
294
+ "total": 115.92964950018347,
295
+ "count": 1002052,
296
+ "is_parallel": true,
297
+ "self": 64.59104660025498,
298
+ "children": {
299
+ "_process_rank_one_or_two_observation": {
300
+ "total": 51.33860289992849,
301
+ "count": 2004104,
302
+ "is_parallel": true,
303
+ "self": 51.33860289992849
304
+ }
305
+ }
306
+ }
307
+ }
308
+ }
309
+ }
310
+ }
311
+ }
312
+ }
313
+ }
314
+ }
315
+ }
316
+ },
317
+ "trainer_threads": {
318
+ "total": 2.7200000204175012e-05,
319
+ "count": 1,
320
+ "self": 2.7200000204175012e-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": 3593.521905900063,
330
+ "count": 105114,
331
+ "is_parallel": true,
332
+ "self": 4.607845200071097,
333
+ "children": {
334
+ "process_trajectory": {
335
+ "total": 1840.9422937999918,
336
+ "count": 105114,
337
+ "is_parallel": true,
338
+ "self": 1840.5389830999923,
339
+ "children": {
340
+ "RLTrainer._checkpoint": {
341
+ "total": 0.40331069999948,
342
+ "count": 16,
343
+ "is_parallel": true,
344
+ "self": 0.40331069999948
345
+ }
346
+ }
347
+ },
348
+ "_update_policy": {
349
+ "total": 1747.9717669000001,
350
+ "count": 600,
351
+ "is_parallel": true,
352
+ "self": 570.650521000043,
353
+ "children": {
354
+ "TorchPPOOptimizer.update": {
355
+ "total": 1177.3212458999571,
356
+ "count": 93600,
357
+ "is_parallel": true,
358
+ "self": 1177.3212458999571
359
+ }
360
+ }
361
+ }
362
+ }
363
+ }
364
+ }
365
+ }
366
+ }
367
+ },
368
+ "TrainerController._save_models": {
369
+ "total": 0.024971300000288466,
370
+ "count": 1,
371
+ "self": 0.0045406000003822555,
372
+ "children": {
373
+ "RLTrainer._checkpoint": {
374
+ "total": 0.02043069999990621,
375
+ "count": 1,
376
+ "self": 0.02043069999990621
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_0_task_1_run_id_1_train\\Agent\\Agent-6498432.onnx",
13
+ "reward": null,
14
+ "creation_time": 1715226916.7001595,
15
+ "auxillary_file_paths": [
16
+ "results\\WindFarmControl/train/WindFarmControl_pattern_0_task_1_run_id_1_train\\Agent\\Agent-6498432.pt"
17
+ ]
18
+ },
19
+ {
20
+ "steps": 6999096,
21
+ "file_path": "results\\WindFarmControl/train/WindFarmControl_pattern_0_task_1_run_id_1_train\\Agent\\Agent-6999096.onnx",
22
+ "reward": 4811.137276785715,
23
+ "creation_time": 1715227136.45113,
24
+ "auxillary_file_paths": [
25
+ "results\\WindFarmControl/train/WindFarmControl_pattern_0_task_1_run_id_1_train\\Agent\\Agent-6999096.pt"
26
+ ]
27
+ },
28
+ {
29
+ "steps": 7498432,
30
+ "file_path": "results\\WindFarmControl/train/WindFarmControl_pattern_0_task_1_run_id_1_train\\Agent\\Agent-7498432.onnx",
31
+ "reward": null,
32
+ "creation_time": 1715227364.9949965,
33
+ "auxillary_file_paths": [
34
+ "results\\WindFarmControl/train/WindFarmControl_pattern_0_task_1_run_id_1_train\\Agent\\Agent-7498432.pt"
35
+ ]
36
+ },
37
+ {
38
+ "steps": 7999096,
39
+ "file_path": "results\\WindFarmControl/train/WindFarmControl_pattern_0_task_1_run_id_1_train\\Agent\\Agent-7999096.onnx",
40
+ "reward": 4820.478594098772,
41
+ "creation_time": 1715227585.1284015,
42
+ "auxillary_file_paths": [
43
+ "results\\WindFarmControl/train/WindFarmControl_pattern_0_task_1_run_id_1_train\\Agent\\Agent-7999096.pt"
44
+ ]
45
+ },
46
+ {
47
+ "steps": 8016384,
48
+ "file_path": "results\\WindFarmControl/train/WindFarmControl_pattern_0_task_1_run_id_1_train\\Agent\\Agent-8016384.onnx",
49
+ "reward": null,
50
+ "creation_time": 1715227591.3598104,
51
+ "auxillary_file_paths": [
52
+ "results\\WindFarmControl/train/WindFarmControl_pattern_0_task_1_run_id_1_train\\Agent\\Agent-8016384.pt"
53
+ ]
54
+ }
55
+ ],
56
+ "final_checkpoint": {
57
+ "steps": 8016384,
58
+ "file_path": "results\\WindFarmControl/train/WindFarmControl_pattern_0_task_1_run_id_1_train\\Agent.onnx",
59
+ "reward": null,
60
+ "creation_time": 1715227591.3598104,
61
+ "auxillary_file_paths": [
62
+ "results\\WindFarmControl/train/WindFarmControl_pattern_0_task_1_run_id_1_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
+ }