Hugging Face's logo

hivex-research
/
hivex-WRM-PPO-baseline-task-2-difficulty-3

Reinforcement Learning
TensorBoard
ONNX
hivex
hivex-wildfire-resource-management
multi-agent-reinforcement-learning
Eval Results
Model card Files Metrics Community
philippds commited on
Commit
5eb7eca
•
1 Parent(s): da62593

Upload 9 files

Browse files
Files changed (9) hide show
  1. Agent.onnx +3 -0
  2. Agent/Agent-450657.onnx +3 -0
  3. Agent/Agent-450657.pt +3 -0
  4. Agent/checkpoint.pt +3 -0
  5. Agent/events.out.tfevents.1716701866.RICHARD.35964.0 +3 -0
  6. README.md +41 -0
  7. configuration.yaml +107 -0
  8. run_logs/timers.json +459 -0
  9. run_logs/training_status.json +35 -0
Agent.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1a6f73d365e78a0dd5484a6bf305a12ba8646ce6f474d34c3b23a766dbd9f6ab
3
+ size 1110764
Agent/Agent-450657.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1a6f73d365e78a0dd5484a6bf305a12ba8646ce6f474d34c3b23a766dbd9f6ab
3
+ size 1110764
Agent/Agent-450657.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:de6e5ebcac2cbec595ee7b4cff6ed2137c891006c1498c49b01d8b685c738dca
3
+ size 7958695
Agent/checkpoint.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:de6e5ebcac2cbec595ee7b4cff6ed2137c891006c1498c49b01d8b685c738dca
3
+ size 7958695
Agent/events.out.tfevents.1716701866.RICHARD.35964.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:299e5dd3a7355da4ffd6b9272c424b21a9e0ccbd9f488bc8a7a2191d97b1830d
3
+ size 226174
README.md ADDED
@@ -0,0 +1,41 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: hivex
3
+ original_train_name: WildfireResourceManagement_difficulty_3_task_2_run_id_1_train
4
+ tags:
5
+ - hivex
6
+ - hivex-wildfire-resource-management
7
+ - reinforcement-learning
8
+ - multi-agent-reinforcement-learning
9
+ model-index:
10
+ - name: hivex-WRM-PPO-baseline-task-2-difficulty-3
11
+ results:
12
+ - task:
13
+ type: sub-task
14
+ name: distribute_all
15
+ task-id: 2
16
+ difficulty-id: 3
17
+ dataset:
18
+ name: hivex-wildfire-resource-management
19
+ type: hivex-wildfire-resource-management
20
+ metrics:
21
+ - type: cumulative_reward
22
+ value: 847.854150390625 +/- 435.0499360739894
23
+ name: Cumulative Reward
24
+ verified: true
25
+ - type: collective_performance
26
+ value: 56.47811775207519 +/- 24.134183224321095
27
+ name: Collective Performance
28
+ verified: true
29
+ - type: individual_performance
30
+ value: 29.25127182006836 +/- 12.721708037101477
31
+ name: Individual Performance
32
+ verified: true
33
+ - type: reward_for_moving_resources_to_neighbours
34
+ value: 744.5827880859375 +/- 449.5107633042511
35
+ name: Reward for Moving Resources to Neighbours
36
+ verified: true
37
+ - type: reward_for_moving_resources_to_self
38
+ value: 0.1304140117019415 +/- 0.04689085615979681
39
+ name: Reward for Moving Resources to Self
40
+ verified: true
41
+ ---
configuration.yaml ADDED
@@ -0,0 +1,107 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ default_settings: null
2
+ behaviors:
3
+ Agent:
4
+ trainer_type: ppo
5
+ hyperparameters:
6
+ batch_size: 128
7
+ buffer_size: 2048
8
+ learning_rate: 0.0003
9
+ beta: 0.01
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: 512
20
+ num_layers: 2
21
+ vis_encode_type: simple
22
+ memory: null
23
+ goal_conditioning_type: hyper
24
+ deterministic: false
25
+ reward_signals:
26
+ curiosity:
27
+ gamma: 0.99
28
+ strength: 0.02
29
+ network_settings:
30
+ normalize: false
31
+ hidden_units: 256
32
+ num_layers: 2
33
+ vis_encode_type: simple
34
+ memory: null
35
+ goal_conditioning_type: hyper
36
+ deterministic: false
37
+ learning_rate: 0.0003
38
+ encoding_size: 256
39
+ extrinsic:
40
+ gamma: 0.99
41
+ strength: 1.0
42
+ network_settings:
43
+ normalize: false
44
+ hidden_units: 128
45
+ num_layers: 2
46
+ vis_encode_type: simple
47
+ memory: null
48
+ goal_conditioning_type: hyper
49
+ deterministic: false
50
+ init_path: null
51
+ keep_checkpoints: 5
52
+ checkpoint_interval: 500000
53
+ max_steps: 450000
54
+ time_horizon: 2048
55
+ summary_freq: 4500
56
+ threaded: true
57
+ self_play: null
58
+ behavioral_cloning: null
59
+ env_settings:
60
+ env_path: c:/users/pdsie/documents/hivex/src/hivex/training/baseline/ml_agents/dev_environments/Hivex_WildfireResourceManagement_win
61
+ env_args: null
62
+ base_port: 5006
63
+ num_envs: 1
64
+ num_areas: 1
65
+ seed: 5000
66
+ max_lifetime_restarts: 10
67
+ restarts_rate_limit_n: 1
68
+ restarts_rate_limit_period_s: 60
69
+ engine_settings:
70
+ width: 84
71
+ height: 84
72
+ quality_level: 5
73
+ time_scale: 20
74
+ target_frame_rate: -1
75
+ capture_frame_rate: 60
76
+ no_graphics: true
77
+ environment_parameters:
78
+ difficulty:
79
+ curriculum:
80
+ - value:
81
+ sampler_type: constant
82
+ sampler_parameters:
83
+ seed: 5000
84
+ value: 3
85
+ name: difficulty
86
+ completion_criteria: null
87
+ task:
88
+ curriculum:
89
+ - value:
90
+ sampler_type: constant
91
+ sampler_parameters:
92
+ seed: 5001
93
+ value: 2
94
+ name: task
95
+ completion_criteria: null
96
+ checkpoint_settings:
97
+ run_id: WildfireResourceManagement/train/WildfireResourceManagement_difficulty_3_task_2_run_id_1_train
98
+ initialize_from: null
99
+ load_model: false
100
+ resume: false
101
+ force: false
102
+ train_model: false
103
+ inference: false
104
+ results_dir: results
105
+ torch_settings:
106
+ device: null
107
+ debug: false
run_logs/timers.json ADDED
@@ -0,0 +1,459 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "name": "root",
3
+ "gauges": {
4
+ "Agent.Policy.Entropy.mean": {
5
+ "value": 3.8786609172821045,
6
+ "min": 3.686828851699829,
7
+ "max": 4.382565498352051,
8
+ "count": 100
9
+ },
10
+ "Agent.Policy.Entropy.sum": {
11
+ "value": 19059.740234375,
12
+ "min": 6006.9013671875,
13
+ "max": 32376.2578125,
14
+ "count": 100
15
+ },
16
+ "Agent.WildfireResourceManagement.IndividualResourceCount.mean": {
17
+ "value": 0.8592591600285636,
18
+ "min": 0.5694444589316845,
19
+ "max": 0.8999998362527953,
20
+ "count": 100
21
+ },
22
+ "Agent.WildfireResourceManagement.IndividualResourceCount.sum": {
23
+ "value": 23.199997320771217,
24
+ "min": 7.299999222159386,
25
+ "max": 39.499996066093445,
26
+ "count": 100
27
+ },
28
+ "Agent.WildfireResourceManagement.RewardforMovingResourcestoNeighbours.mean": {
29
+ "value": 676.3128243552314,
30
+ "min": 17.499365912543404,
31
+ "max": 2073.9751586914062,
32
+ "count": 100
33
+ },
34
+ "Agent.WildfireResourceManagement.RewardforMovingResourcestoNeighbours.sum": {
35
+ "value": 18260.446257591248,
36
+ "min": 157.49429321289062,
37
+ "max": 35529.07872009277,
38
+ "count": 100
39
+ },
40
+ "Agent.WildfireResourceManagement.RewardforMovingResourcestoSelf.mean": {
41
+ "value": 0.12663081612575938,
42
+ "min": 0.027889348294896383,
43
+ "max": 5.256550948652956,
44
+ "count": 100
45
+ },
46
+ "Agent.WildfireResourceManagement.RewardforMovingResourcestoSelf.sum": {
47
+ "value": 3.419032035395503,
48
+ "min": 0.25100413465406746,
49
+ "max": 104.89926034212112,
50
+ "count": 100
51
+ },
52
+ "Agent.WildfireResourceManagement.CollectivePerformance.mean": {
53
+ "value": 47.111211423520686,
54
+ "min": 8.807972378200954,
55
+ "max": 124.24823760986328,
56
+ "count": 100
57
+ },
58
+ "Agent.WildfireResourceManagement.CollectivePerformance.sum": {
59
+ "value": 1272.0027084350586,
60
+ "min": 79.2717514038086,
61
+ "max": 2347.0828351974487,
62
+ "count": 100
63
+ },
64
+ "Agent.WildfireResourceManagement.IndividualPerformance.mean": {
65
+ "value": 23.820514658534968,
66
+ "min": 3.3417732649379306,
67
+ "max": 71.48251779874165,
68
+ "count": 100
69
+ },
70
+ "Agent.WildfireResourceManagement.IndividualPerformance.sum": {
71
+ "value": 643.1538957804441,
72
+ "min": 30.075959384441376,
73
+ "max": 1215.9338610172272,
74
+ "count": 100
75
+ },
76
+ "Agent.Environment.LessonNumber.difficulty.mean": {
77
+ "value": 0.0,
78
+ "min": 0.0,
79
+ "max": 0.0,
80
+ "count": 100
81
+ },
82
+ "Agent.Environment.LessonNumber.difficulty.sum": {
83
+ "value": 0.0,
84
+ "min": 0.0,
85
+ "max": 0.0,
86
+ "count": 100
87
+ },
88
+ "Agent.Environment.LessonNumber.task.mean": {
89
+ "value": 0.0,
90
+ "min": 0.0,
91
+ "max": 0.0,
92
+ "count": 100
93
+ },
94
+ "Agent.Environment.LessonNumber.task.sum": {
95
+ "value": 0.0,
96
+ "min": 0.0,
97
+ "max": 0.0,
98
+ "count": 100
99
+ },
100
+ "Agent.Environment.EpisodeLength.mean": {
101
+ "value": 181.66666666666666,
102
+ "min": 96.33333333333333,
103
+ "max": 473.0,
104
+ "count": 100
105
+ },
106
+ "Agent.Environment.EpisodeLength.sum": {
107
+ "value": 4905.0,
108
+ "min": 1512.0,
109
+ "max": 7803.0,
110
+ "count": 100
111
+ },
112
+ "Agent.Step.mean": {
113
+ "value": 449977.0,
114
+ "min": 4405.0,
115
+ "max": 449977.0,
116
+ "count": 100
117
+ },
118
+ "Agent.Step.sum": {
119
+ "value": 449977.0,
120
+ "min": 4405.0,
121
+ "max": 449977.0,
122
+ "count": 100
123
+ },
124
+ "Agent.Policy.CuriosityValueEstimate.mean": {
125
+ "value": -0.0027963249012827873,
126
+ "min": -0.0640050545334816,
127
+ "max": 0.08479417115449905,
128
+ "count": 100
129
+ },
130
+ "Agent.Policy.CuriosityValueEstimate.sum": {
131
+ "value": -0.055926498025655746,
132
+ "min": -1.9373459815979004,
133
+ "max": 1.9520596265792847,
134
+ "count": 100
135
+ },
136
+ "Agent.Policy.ExtrinsicValueEstimate.mean": {
137
+ "value": 280.9388122558594,
138
+ "min": 4.700740814208984,
139
+ "max": 431.2846984863281,
140
+ "count": 100
141
+ },
142
+ "Agent.Policy.ExtrinsicValueEstimate.sum": {
143
+ "value": 5618.7763671875,
144
+ "min": 122.2192611694336,
145
+ "max": 10420.7529296875,
146
+ "count": 100
147
+ },
148
+ "Agent.Environment.CumulativeReward.mean": {
149
+ "value": 795.0527629852295,
150
+ "min": 175.3416471848121,
151
+ "max": 2244.743329729353,
152
+ "count": 100
153
+ },
154
+ "Agent.Environment.CumulativeReward.sum": {
155
+ "value": 15901.05525970459,
156
+ "min": 4558.882826805115,
157
+ "max": 33298.71598815918,
158
+ "count": 100
159
+ },
160
+ "Agent.Policy.CuriosityReward.mean": {
161
+ "value": 0.009948330989573151,
162
+ "min": 0.00850029930472374,
163
+ "max": 0.28112685100899804,
164
+ "count": 100
165
+ },
166
+ "Agent.Policy.CuriosityReward.sum": {
167
+ "value": 0.19896661979146302,
168
+ "min": 0.1912378901615739,
169
+ "max": 5.18032369017601,
170
+ "count": 100
171
+ },
172
+ "Agent.Policy.ExtrinsicReward.mean": {
173
+ "value": 795.0527629852295,
174
+ "min": 175.3416471848121,
175
+ "max": 2244.743329729353,
176
+ "count": 100
177
+ },
178
+ "Agent.Policy.ExtrinsicReward.sum": {
179
+ "value": 15901.05525970459,
180
+ "min": 4558.882826805115,
181
+ "max": 33298.71598815918,
182
+ "count": 100
183
+ },
184
+ "Agent.Losses.PolicyLoss.mean": {
185
+ "value": 0.07050905195391158,
186
+ "min": 0.05391141423886573,
187
+ "max": 0.09056872081961118,
188
+ "count": 99
189
+ },
190
+ "Agent.Losses.PolicyLoss.sum": {
191
+ "value": 0.14101810390782316,
192
+ "min": 0.05391141423886573,
193
+ "max": 0.15813102597509238,
194
+ "count": 99
195
+ },
196
+ "Agent.Losses.ValueLoss.mean": {
197
+ "value": 8408.508837266401,
198
+ "min": 144.39980033591942,
199
+ "max": 18611.196139865453,
200
+ "count": 99
201
+ },
202
+ "Agent.Losses.ValueLoss.sum": {
203
+ "value": 16817.017674532803,
204
+ "min": 144.39980033591942,
205
+ "max": 24134.184972426472,
206
+ "count": 99
207
+ },
208
+ "Agent.Policy.LearningRate.mean": {
209
+ "value": 1.4610995129999955e-06,
210
+ "min": 1.4610995129999955e-06,
211
+ "max": 0.00029848200050600006,
212
+ "count": 99
213
+ },
214
+ "Agent.Policy.LearningRate.sum": {
215
+ "value": 2.922199025999991e-06,
216
+ "min": 2.922199025999991e-06,
217
+ "max": 0.0005858280047239997,
218
+ "count": 99
219
+ },
220
+ "Agent.Policy.Epsilon.mean": {
221
+ "value": 0.10048699999999999,
222
+ "min": 0.10048699999999999,
223
+ "max": 0.199494,
224
+ "count": 99
225
+ },
226
+ "Agent.Policy.Epsilon.sum": {
227
+ "value": 0.20097399999999999,
228
+ "min": 0.101576,
229
+ "max": 0.3952760000000001,
230
+ "count": 99
231
+ },
232
+ "Agent.Policy.Beta.mean": {
233
+ "value": 5.865129999999986e-05,
234
+ "min": 5.865129999999986e-05,
235
+ "max": 0.009949450600000001,
236
+ "count": 99
237
+ },
238
+ "Agent.Policy.Beta.sum": {
239
+ "value": 0.00011730259999999973,
240
+ "min": 0.00011730259999999973,
241
+ "max": 0.0195280724,
242
+ "count": 99
243
+ },
244
+ "Agent.Losses.CuriosityForwardLoss.mean": {
245
+ "value": 0.001982385548134599,
246
+ "min": 0.001982385548134599,
247
+ "max": 0.4862046896242628,
248
+ "count": 99
249
+ },
250
+ "Agent.Losses.CuriosityForwardLoss.sum": {
251
+ "value": 0.003964771096269198,
252
+ "min": 0.0020015653682917004,
253
+ "max": 0.4862046896242628,
254
+ "count": 99
255
+ },
256
+ "Agent.Losses.CuriosityInverseLoss.mean": {
257
+ "value": 3.8768466524779797,
258
+ "min": 3.6591388005726984,
259
+ "max": 4.390673973981072,
260
+ "count": 99
261
+ },
262
+ "Agent.Losses.CuriosityInverseLoss.sum": {
263
+ "value": 7.753693304955959,
264
+ "min": 3.77407243847847,
265
+ "max": 8.708318433307465,
266
+ "count": 99
267
+ },
268
+ "Agent.IsTraining.mean": {
269
+ "value": 1.0,
270
+ "min": 1.0,
271
+ "max": 1.0,
272
+ "count": 100
273
+ },
274
+ "Agent.IsTraining.sum": {
275
+ "value": 1.0,
276
+ "min": 1.0,
277
+ "max": 1.0,
278
+ "count": 100
279
+ }
280
+ },
281
+ "metadata": {
282
+ "timer_format_version": "0.1.0",
283
+ "start_time_seconds": "1716701865",
284
+ "python_version": "3.9.18 (main, Sep 11 2023, 14:09:26) [MSC v.1916 64 bit (AMD64)]",
285
+ "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/WildfireResourceManagement_difficulty_3_task_2_run_id_1_train.yaml --run-id=WildfireResourceManagement/train/WildfireResourceManagement_difficulty_3_task_2_run_id_1_train --base-port 5006",
286
+ "mlagents_version": "0.30.0",
287
+ "mlagents_envs_version": "0.30.0",
288
+ "communication_protocol_version": "1.5.0",
289
+ "pytorch_version": "1.7.1+cu110",
290
+ "numpy_version": "1.21.0",
291
+ "end_time_seconds": "1716703577"
292
+ },
293
+ "total": 1711.8388165,
294
+ "count": 1,
295
+ "self": 0.19528070000001208,
296
+ "children": {
297
+ "run_training.setup": {
298
+ "total": 0.054822100000000096,
299
+ "count": 1,
300
+ "self": 0.054822100000000096
301
+ },
302
+ "TrainerController.start_learning": {
303
+ "total": 1711.5887137,
304
+ "count": 1,
305
+ "self": 1.1612224999903447,
306
+ "children": {
307
+ "TrainerController._reset_env": {
308
+ "total": 2.08878,
309
+ "count": 1,
310
+ "self": 2.08878
311
+ },
312
+ "TrainerController.advance": {
313
+ "total": 1708.2559128000096,
314
+ "count": 50074,
315
+ "self": 1.0293657999998231,
316
+ "children": {
317
+ "env_step": {
318
+ "total": 1707.2265470000098,
319
+ "count": 50074,
320
+ "self": 1432.3362323000447,
321
+ "children": {
322
+ "SubprocessEnvManager._take_step": {
323
+ "total": 274.4136104999957,
324
+ "count": 50074,
325
+ "self": 1.763352100004056,
326
+ "children": {
327
+ "TorchPolicy.evaluate": {
328
+ "total": 272.6502583999916,
329
+ "count": 50074,
330
+ "self": 272.6502583999916
331
+ }
332
+ }
333
+ },
334
+ "workers": {
335
+ "total": 0.4767041999693711,
336
+ "count": 50074,
337
+ "self": 0.0,
338
+ "children": {
339
+ "worker_root": {
340
+ "total": 1709.076763599999,
341
+ "count": 50074,
342
+ "is_parallel": true,
343
+ "self": 335.70913500000916,
344
+ "children": {
345
+ "steps_from_proto": {
346
+ "total": 0.00025209999999997734,
347
+ "count": 1,
348
+ "is_parallel": true,
349
+ "self": 0.00012210000000001386,
350
+ "children": {
351
+ "_process_rank_one_or_two_observation": {
352
+ "total": 0.00012999999999996348,
353
+ "count": 2,
354
+ "is_parallel": true,
355
+ "self": 0.00012999999999996348
356
+ }
357
+ }
358
+ },
359
+ "UnityEnvironment.step": {
360
+ "total": 1373.3673764999899,
361
+ "count": 50074,
362
+ "is_parallel": true,
363
+ "self": 3.315785500001539,
364
+ "children": {
365
+ "UnityEnvironment._generate_step_input": {
366
+ "total": 4.013429599998185,
367
+ "count": 50074,
368
+ "is_parallel": true,
369
+ "self": 4.013429599998185
370
+ },
371
+ "communicator.exchange": {
372
+ "total": 1356.3925525000009,
373
+ "count": 50074,
374
+ "is_parallel": true,
375
+ "self": 1356.3925525000009
376
+ },
377
+ "steps_from_proto": {
378
+ "total": 9.64560889998912,
379
+ "count": 50074,
380
+ "is_parallel": true,
381
+ "self": 4.986471899987435,
382
+ "children": {
383
+ "_process_rank_one_or_two_observation": {
384
+ "total": 4.659137000001686,
385
+ "count": 100148,
386
+ "is_parallel": true,
387
+ "self": 4.659137000001686
388
+ }
389
+ }
390
+ }
391
+ }
392
+ }
393
+ }
394
+ }
395
+ }
396
+ }
397
+ }
398
+ }
399
+ }
400
+ },
401
+ "trainer_threads": {
402
+ "total": 2.3300000066228677e-05,
403
+ "count": 1,
404
+ "self": 2.3300000066228677e-05,
405
+ "children": {
406
+ "thread_root": {
407
+ "total": 0.0,
408
+ "count": 0,
409
+ "is_parallel": true,
410
+ "self": 0.0,
411
+ "children": {
412
+ "trainer_advance": {
413
+ "total": 1708.3414885000182,
414
+ "count": 84964,
415
+ "is_parallel": true,
416
+ "self": 2.678123999962736,
417
+ "children": {
418
+ "process_trajectory": {
419
+ "total": 1349.691457900058,
420
+ "count": 84964,
421
+ "is_parallel": true,
422
+ "self": 1349.691457900058
423
+ },
424
+ "_update_policy": {
425
+ "total": 355.9719065999975,
426
+ "count": 141,
427
+ "is_parallel": true,
428
+ "self": 173.82212770000345,
429
+ "children": {
430
+ "TorchPPOOptimizer.update": {
431
+ "total": 182.14977889999406,
432
+ "count": 10335,
433
+ "is_parallel": true,
434
+ "self": 182.14977889999406
435
+ }
436
+ }
437
+ }
438
+ }
439
+ }
440
+ }
441
+ }
442
+ }
443
+ },
444
+ "TrainerController._save_models": {
445
+ "total": 0.08277509999993526,
446
+ "count": 1,
447
+ "self": 0.004725999999891428,
448
+ "children": {
449
+ "RLTrainer._checkpoint": {
450
+ "total": 0.07804910000004384,
451
+ "count": 1,
452
+ "self": 0.07804910000004384
453
+ }
454
+ }
455
+ }
456
+ }
457
+ }
458
+ }
459
+ }
run_logs/training_status.json ADDED
@@ -0,0 +1,35 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "difficulty": {
3
+ "lesson_num": 0
4
+ },
5
+ "task": {
6
+ "lesson_num": 0
7
+ },
8
+ "Agent": {
9
+ "checkpoints": [
10
+ {
11
+ "steps": 450657,
12
+ "file_path": "results\\WildfireResourceManagement/train/WildfireResourceManagement_difficulty_3_task_2_run_id_1_train\\Agent\\Agent-450657.onnx",
13
+ "reward": 953.0357144673666,
14
+ "creation_time": 1716703577.2071662,
15
+ "auxillary_file_paths": [
16
+ "results\\WildfireResourceManagement/train/WildfireResourceManagement_difficulty_3_task_2_run_id_1_train\\Agent\\Agent-450657.pt"
17
+ ]
18
+ }
19
+ ],
20
+ "final_checkpoint": {
21
+ "steps": 450657,
22
+ "file_path": "results\\WildfireResourceManagement/train/WildfireResourceManagement_difficulty_3_task_2_run_id_1_train\\Agent.onnx",
23
+ "reward": 953.0357144673666,
24
+ "creation_time": 1716703577.2071662,
25
+ "auxillary_file_paths": [
26
+ "results\\WildfireResourceManagement/train/WildfireResourceManagement_difficulty_3_task_2_run_id_1_train\\Agent\\Agent-450657.pt"
27
+ ]
28
+ }
29
+ },
30
+ "metadata": {
31
+ "stats_format_version": "0.3.0",
32
+ "mlagents_version": "0.30.0",
33
+ "torch_version": "1.7.1+cu110"
34
+ }
35
+ }