Hugging Face's logo

hivex-research
/
hivex-DBR-PPO-baseline-task-0-difficulty-5

Reinforcement Learning
TensorBoard
ONNX
hivex
hivex-drone-based-reforestation
multi-agent-reinforcement-learning
Eval Results
Model card Files Metrics Community
philippds commited on
Commit
3dc5cf5
•
1 Parent(s): 86c450e

Upload 12 files

Browse files
Files changed (12) hide show
  1. Agent.onnx +3 -0
  2. Agent/Agent-1200105.onnx +3 -0
  3. Agent/Agent-1200105.pt +3 -0
  4. Agent/Agent-499790.onnx +3 -0
  5. Agent/Agent-499790.pt +3 -0
  6. Agent/Agent-999731.onnx +3 -0
  7. Agent/Agent-999731.pt +3 -0
  8. Agent/checkpoint.pt +3 -0
  9. Agent/events.out.tfevents.1717630996.RICHARD.44648.0 +3 -0
  10. configuration.yaml +107 -0
  11. run_logs/timers.json +575 -0
  12. run_logs/training_status.json +53 -0
Agent.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8abf0c09b9738f7170ca479840204f9e6bb55c0d203d731d2e20f6817b330824
3
+ size 562656
Agent/Agent-1200105.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8abf0c09b9738f7170ca479840204f9e6bb55c0d203d731d2e20f6817b330824
3
+ size 562656
Agent/Agent-1200105.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:512f8d7904e80297fdd4a27de306693d471041dd1a889ad50f44a9eb0573c8c4
3
+ size 4530031
Agent/Agent-499790.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:92a5bb4c0c58121bed46e55de0013f74fadaa068ed4e5d10d75c3fdb37d9628a
3
+ size 562656
Agent/Agent-499790.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7e585f47e7b701c8da415efc9ce7c2792764f837ae5578e2469efeaae560ed61
3
+ size 4530031
Agent/Agent-999731.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:677187d797127712f7f59c83b011f90ec9a6eb511986de88cc7f2e8b536c8e23
3
+ size 562656
Agent/Agent-999731.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5c43a8431026da24eed8877647f4cb335a4fb1d9d8f00ede1eac8cca4e1b20cd
3
+ size 4530031
Agent/checkpoint.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:512f8d7904e80297fdd4a27de306693d471041dd1a889ad50f44a9eb0573c8c4
3
+ size 4530031
Agent/events.out.tfevents.1717630996.RICHARD.44648.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9c52cdc2f67d5e906fd1f77273f71d40f2fe7e6ddced1eeefb7287153853b726
3
+ size 2355285
configuration.yaml ADDED
@@ -0,0 +1,107 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ default_settings: null
2
+ behaviors:
3
+ Agent:
4
+ trainer_type: ppo
5
+ hyperparameters:
6
+ batch_size: 1024
7
+ buffer_size: 8192
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: 128
20
+ num_layers: 2
21
+ vis_encode_type: resnet
22
+ memory: null
23
+ goal_conditioning_type: hyper
24
+ deterministic: false
25
+ reward_signals:
26
+ curiosity:
27
+ gamma: 0.99
28
+ strength: 0.1
29
+ network_settings:
30
+ normalize: false
31
+ hidden_units: 128
32
+ num_layers: 2
33
+ vis_encode_type: resnet
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: 0.9
42
+ network_settings:
43
+ normalize: false
44
+ hidden_units: 128
45
+ num_layers: 2
46
+ vis_encode_type: resnet
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: 1200000
54
+ time_horizon: 8192
55
+ summary_freq: 6000
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_DroneBasedReforestation_win
61
+ env_args: null
62
+ base_port: 5007
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: 5
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: 0
94
+ name: task
95
+ completion_criteria: null
96
+ checkpoint_settings:
97
+ run_id: DroneBasedReforestation/train/DroneBasedReforestation_difficulty_5_task_0_run_id_2_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 +1,575 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "name": "root",
3
+ "gauges": {
4
+ "Agent.Policy.Entropy.mean": {
5
+ "value": 1.4345054626464844,
6
+ "min": 1.4196497201919556,
7
+ "max": 1.4345054626464844,
8
+ "count": 200
9
+ },
10
+ "Agent.Policy.Entropy.sum": {
11
+ "value": 8202.501953125,
12
+ "min": 7451.7021484375,
13
+ "max": 10131.6142578125,
14
+ "count": 200
15
+ },
16
+ "Agent.DroneBasedReforestation.TreeDropCount.mean": {
17
+ "value": 1.0,
18
+ "min": 0.4444444444444444,
19
+ "max": 1.4,
20
+ "count": 200
21
+ },
22
+ "Agent.DroneBasedReforestation.TreeDropCount.sum": {
23
+ "value": 15.0,
24
+ "min": 8.0,
25
+ "max": 22.0,
26
+ "count": 200
27
+ },
28
+ "Agent.DroneBasedReforestation.RechargeEnergyCount.mean": {
29
+ "value": 9.0,
30
+ "min": 8.133333333333333,
31
+ "max": 62.27777777777778,
32
+ "count": 200
33
+ },
34
+ "Agent.DroneBasedReforestation.RechargeEnergyCount.sum": {
35
+ "value": 135.0,
36
+ "min": 122.0,
37
+ "max": 1121.0,
38
+ "count": 200
39
+ },
40
+ "Agent.DroneBasedReforestation.SaveLocationCount.mean": {
41
+ "value": 0.0,
42
+ "min": 0.0,
43
+ "max": 0.0,
44
+ "count": 200
45
+ },
46
+ "Agent.DroneBasedReforestation.SaveLocationCount.sum": {
47
+ "value": 0.0,
48
+ "min": 0.0,
49
+ "max": 0.0,
50
+ "count": 200
51
+ },
52
+ "Agent.DroneBasedReforestation.OutofEnergyCount.mean": {
53
+ "value": 1.0,
54
+ "min": 0.4,
55
+ "max": 1.0,
56
+ "count": 200
57
+ },
58
+ "Agent.DroneBasedReforestation.OutofEnergyCount.sum": {
59
+ "value": 15.0,
60
+ "min": 6.0,
61
+ "max": 18.0,
62
+ "count": 200
63
+ },
64
+ "Agent.DroneBasedReforestation.CumulativeDistanceUntilTreeDrop.mean": {
65
+ "value": 89.16977411905924,
66
+ "min": 13.588333129882812,
67
+ "max": 122.56704436408148,
68
+ "count": 200
69
+ },
70
+ "Agent.DroneBasedReforestation.CumulativeDistanceUntilTreeDrop.sum": {
71
+ "value": 1337.5466117858887,
72
+ "min": 203.8249969482422,
73
+ "max": 2206.206798553467,
74
+ "count": 200
75
+ },
76
+ "Agent.DroneBasedReforestation.CumulativeTreeDropReward.mean": {
77
+ "value": 9.874763335908453,
78
+ "min": 1.4282119909922282,
79
+ "max": 10.545252879460653,
80
+ "count": 200
81
+ },
82
+ "Agent.DroneBasedReforestation.CumulativeTreeDropReward.sum": {
83
+ "value": 148.1214500386268,
84
+ "min": 21.423179864883423,
85
+ "max": 189.81455183029175,
86
+ "count": 200
87
+ },
88
+ "Agent.DroneBasedReforestation.CumulativeDistanceReward.mean": {
89
+ "value": 4.005469703674317,
90
+ "min": 0.31344227658377755,
91
+ "max": 4.538780053456624,
92
+ "count": 200
93
+ },
94
+ "Agent.DroneBasedReforestation.CumulativeDistanceReward.sum": {
95
+ "value": 60.082045555114746,
96
+ "min": 5.455199956893921,
97
+ "max": 81.69804096221924,
98
+ "count": 200
99
+ },
100
+ "Agent.DroneBasedReforestation.CumulativeNormalizedDistanceUntilTreeDrop.mean": {
101
+ "value": 0.40054696997006733,
102
+ "min": 0.03134422832065158,
103
+ "max": 0.4538780020342933,
104
+ "count": 200
105
+ },
106
+ "Agent.DroneBasedReforestation.CumulativeNormalizedDistanceUntilTreeDrop.sum": {
107
+ "value": 6.00820454955101,
108
+ "min": 0.5455200001597404,
109
+ "max": 8.169804036617279,
110
+ "count": 200
111
+ },
112
+ "Agent.DroneBasedReforestation.CumulativeDistancetoExistingTrees.mean": {
113
+ "value": 29.395476841926573,
114
+ "min": 29.395476841926573,
115
+ "max": 122.22820276684232,
116
+ "count": 200
117
+ },
118
+ "Agent.DroneBasedReforestation.CumulativeDistancetoExistingTrees.sum": {
119
+ "value": 440.9321526288986,
120
+ "min": 440.9321526288986,
121
+ "max": 2200.1076498031616,
122
+ "count": 200
123
+ },
124
+ "Agent.Environment.LessonNumber.difficulty.mean": {
125
+ "value": 0.0,
126
+ "min": 0.0,
127
+ "max": 0.0,
128
+ "count": 200
129
+ },
130
+ "Agent.Environment.LessonNumber.difficulty.sum": {
131
+ "value": 0.0,
132
+ "min": 0.0,
133
+ "max": 0.0,
134
+ "count": 200
135
+ },
136
+ "Agent.Environment.LessonNumber.task.mean": {
137
+ "value": 0.0,
138
+ "min": 0.0,
139
+ "max": 0.0,
140
+ "count": 200
141
+ },
142
+ "Agent.Environment.LessonNumber.task.sum": {
143
+ "value": 0.0,
144
+ "min": 0.0,
145
+ "max": 0.0,
146
+ "count": 200
147
+ },
148
+ "Agent.Environment.EpisodeLength.mean": {
149
+ "value": 379.2,
150
+ "min": 345.3333333333333,
151
+ "max": 399.0,
152
+ "count": 200
153
+ },
154
+ "Agent.Environment.EpisodeLength.sum": {
155
+ "value": 5688.0,
156
+ "min": 5211.0,
157
+ "max": 7128.0,
158
+ "count": 200
159
+ },
160
+ "Agent.Step.mean": {
161
+ "value": 1199728.0,
162
+ "min": 5987.0,
163
+ "max": 1199728.0,
164
+ "count": 200
165
+ },
166
+ "Agent.Step.sum": {
167
+ "value": 1199728.0,
168
+ "min": 5987.0,
169
+ "max": 1199728.0,
170
+ "count": 200
171
+ },
172
+ "Agent.Policy.CuriosityValueEstimate.mean": {
173
+ "value": 0.28683173656463623,
174
+ "min": 0.02928275428712368,
175
+ "max": 1.0453386306762695,
176
+ "count": 200
177
+ },
178
+ "Agent.Policy.CuriosityValueEstimate.sum": {
179
+ "value": 4.58930778503418,
180
+ "min": 0.43924131989479065,
181
+ "max": 17.770755767822266,
182
+ "count": 200
183
+ },
184
+ "Agent.Policy.ExtrinsicValueEstimate.mean": {
185
+ "value": 1.1851378679275513,
186
+ "min": 0.06568823009729385,
187
+ "max": 1.5239319801330566,
188
+ "count": 200
189
+ },
190
+ "Agent.Policy.ExtrinsicValueEstimate.sum": {
191
+ "value": 18.96220588684082,
192
+ "min": 1.1166999340057373,
193
+ "max": 24.382911682128906,
194
+ "count": 200
195
+ },
196
+ "Agent.Environment.CumulativeReward.mean": {
197
+ "value": 17.46530520915985,
198
+ "min": -1.2342333793640137,
199
+ "max": 17.736011838912965,
200
+ "count": 200
201
+ },
202
+ "Agent.Environment.CumulativeReward.sum": {
203
+ "value": 279.4448833465576,
204
+ "min": -19.74773406982422,
205
+ "max": 279.4448833465576,
206
+ "count": 200
207
+ },
208
+ "Agent.Policy.CuriosityReward.mean": {
209
+ "value": 1.102638527750969,
210
+ "min": 0.0,
211
+ "max": 13.09873253107071,
212
+ "count": 200
213
+ },
214
+ "Agent.Policy.CuriosityReward.sum": {
215
+ "value": 17.642216444015503,
216
+ "min": 0.0,
217
+ "max": 209.57972049713135,
218
+ "count": 200
219
+ },
220
+ "Agent.Policy.ExtrinsicReward.mean": {
221
+ "value": 15.718773733824492,
222
+ "min": -1.1108101196587086,
223
+ "max": 15.96240953207016,
224
+ "count": 200
225
+ },
226
+ "Agent.Policy.ExtrinsicReward.sum": {
227
+ "value": 251.50037974119186,
228
+ "min": -17.772961914539337,
229
+ "max": 251.50037974119186,
230
+ "count": 200
231
+ },
232
+ "Agent.IsTraining.mean": {
233
+ "value": 1.0,
234
+ "min": 1.0,
235
+ "max": 1.0,
236
+ "count": 200
237
+ },
238
+ "Agent.IsTraining.sum": {
239
+ "value": 1.0,
240
+ "min": 1.0,
241
+ "max": 1.0,
242
+ "count": 200
243
+ },
244
+ "Agent.Losses.PolicyLoss.mean": {
245
+ "value": 0.023352904590191664,
246
+ "min": 0.015012246297879351,
247
+ "max": 0.03334855157192106,
248
+ "count": 135
249
+ },
250
+ "Agent.Losses.PolicyLoss.sum": {
251
+ "value": 0.023352904590191664,
252
+ "min": 0.015012246297879351,
253
+ "max": 0.03334855157192106,
254
+ "count": 135
255
+ },
256
+ "Agent.Losses.ValueLoss.mean": {
257
+ "value": 0.6238656871848636,
258
+ "min": 0.13406095250199238,
259
+ "max": 1.3653589884440105,
260
+ "count": 135
261
+ },
262
+ "Agent.Losses.ValueLoss.sum": {
263
+ "value": 0.6238656871848636,
264
+ "min": 0.13406095250199238,
265
+ "max": 1.3653589884440105,
266
+ "count": 135
267
+ },
268
+ "Agent.Policy.LearningRate.mean": {
269
+ "value": 8.198497267500081e-07,
270
+ "min": 8.198497267500081e-07,
271
+ "max": 0.00029780325073225,
272
+ "count": 135
273
+ },
274
+ "Agent.Policy.LearningRate.sum": {
275
+ "value": 8.198497267500081e-07,
276
+ "min": 8.198497267500081e-07,
277
+ "max": 0.00029780325073225,
278
+ "count": 135
279
+ },
280
+ "Agent.Policy.Epsilon.mean": {
281
+ "value": 0.10027325,
282
+ "min": 0.10027325,
283
+ "max": 0.19926775000000005,
284
+ "count": 135
285
+ },
286
+ "Agent.Policy.Epsilon.sum": {
287
+ "value": 0.10027325,
288
+ "min": 0.10027325,
289
+ "max": 0.19926775000000005,
290
+ "count": 135
291
+ },
292
+ "Agent.Policy.Beta.mean": {
293
+ "value": 2.363517500000013e-05,
294
+ "min": 2.363517500000013e-05,
295
+ "max": 0.004963460725,
296
+ "count": 135
297
+ },
298
+ "Agent.Policy.Beta.sum": {
299
+ "value": 2.363517500000013e-05,
300
+ "min": 2.363517500000013e-05,
301
+ "max": 0.004963460725,
302
+ "count": 135
303
+ },
304
+ "Agent.Losses.CuriosityForwardLoss.mean": {
305
+ "value": 0.02761068429659914,
306
+ "min": 0.02499390913483997,
307
+ "max": 0.6027635087569555,
308
+ "count": 135
309
+ },
310
+ "Agent.Losses.CuriosityForwardLoss.sum": {
311
+ "value": 0.02761068429659914,
312
+ "min": 0.02499390913483997,
313
+ "max": 0.6027635087569555,
314
+ "count": 135
315
+ },
316
+ "Agent.Losses.CuriosityInverseLoss.mean": {
317
+ "value": 2.197030217559249,
318
+ "min": 2.037269095579783,
319
+ "max": 3.315477500359217,
320
+ "count": 135
321
+ },
322
+ "Agent.Losses.CuriosityInverseLoss.sum": {
323
+ "value": 2.197030217559249,
324
+ "min": 2.037269095579783,
325
+ "max": 3.315477500359217,
326
+ "count": 135
327
+ }
328
+ },
329
+ "metadata": {
330
+ "timer_format_version": "0.1.0",
331
+ "start_time_seconds": "1717630995",
332
+ "python_version": "3.9.18 (main, Sep 11 2023, 14:09:26) [MSC v.1916 64 bit (AMD64)]",
333
+ "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/DroneBasedReforestation_difficulty_5_task_0_run_id_2_train.yaml --run-id=DroneBasedReforestation/train/DroneBasedReforestation_difficulty_5_task_0_run_id_2_train --base-port 5007",
334
+ "mlagents_version": "0.30.0",
335
+ "mlagents_envs_version": "0.30.0",
336
+ "communication_protocol_version": "1.5.0",
337
+ "pytorch_version": "1.7.1+cu110",
338
+ "numpy_version": "1.21.0",
339
+ "end_time_seconds": "1717634666"
340
+ },
341
+ "total": 3671.2171716999997,
342
+ "count": 1,
343
+ "self": 0.2712237999999161,
344
+ "children": {
345
+ "run_training.setup": {
346
+ "total": 0.05108199999999996,
347
+ "count": 1,
348
+ "self": 0.05108199999999996
349
+ },
350
+ "TrainerController.start_learning": {
351
+ "total": 3670.8948659,
352
+ "count": 1,
353
+ "self": 5.001083099995867,
354
+ "children": {
355
+ "TrainerController._reset_env": {
356
+ "total": 2.0102677,
357
+ "count": 1,
358
+ "self": 2.0102677
359
+ },
360
+ "TrainerController.advance": {
361
+ "total": 3663.7077979000037,
362
+ "count": 400988,
363
+ "self": 4.961417599907236,
364
+ "children": {
365
+ "env_step": {
366
+ "total": 3658.7463803000965,
367
+ "count": 400988,
368
+ "self": 1644.3199452001156,
369
+ "children": {
370
+ "SubprocessEnvManager._take_step": {
371
+ "total": 2011.0064264999294,
372
+ "count": 400988,
373
+ "self": 10.466995599909751,
374
+ "children": {
375
+ "TorchPolicy.evaluate": {
376
+ "total": 2000.5394309000196,
377
+ "count": 400043,
378
+ "self": 2000.5394309000196
379
+ }
380
+ }
381
+ },
382
+ "workers": {
383
+ "total": 3.420008600051421,
384
+ "count": 400988,
385
+ "self": 0.0,
386
+ "children": {
387
+ "worker_root": {
388
+ "total": 3662.342524000176,
389
+ "count": 400988,
390
+ "is_parallel": true,
391
+ "self": 2222.298089800248,
392
+ "children": {
393
+ "steps_from_proto": {
394
+ "total": 0.006183199999999944,
395
+ "count": 1,
396
+ "is_parallel": true,
397
+ "self": 0.00010350000000003412,
398
+ "children": {
399
+ "_process_maybe_compressed_observation": {
400
+ "total": 0.006034399999999884,
401
+ "count": 2,
402
+ "is_parallel": true,
403
+ "self": 3.019999999986922e-05,
404
+ "children": {
405
+ "_observation_to_np_array": {
406
+ "total": 0.006004200000000015,
407
+ "count": 3,
408
+ "is_parallel": true,
409
+ "self": 3.019999999986922e-05,
410
+ "children": {
411
+ "process_pixels": {
412
+ "total": 0.005974000000000146,
413
+ "count": 3,
414
+ "is_parallel": true,
415
+ "self": 0.00023519999999987995,
416
+ "children": {
417
+ "image_decompress": {
418
+ "total": 0.005738800000000266,
419
+ "count": 3,
420
+ "is_parallel": true,
421
+ "self": 0.005738800000000266
422
+ }
423
+ }
424
+ }
425
+ }
426
+ }
427
+ }
428
+ },
429
+ "_process_rank_one_or_two_observation": {
430
+ "total": 4.5300000000025875e-05,
431
+ "count": 2,
432
+ "is_parallel": true,
433
+ "self": 4.5300000000025875e-05
434
+ }
435
+ }
436
+ },
437
+ "UnityEnvironment.step": {
438
+ "total": 1440.038250999928,
439
+ "count": 400988,
440
+ "is_parallel": true,
441
+ "self": 17.915697599831674,
442
+ "children": {
443
+ "UnityEnvironment._generate_step_input": {
444
+ "total": 19.406641000016506,
445
+ "count": 400988,
446
+ "is_parallel": true,
447
+ "self": 19.406641000016506
448
+ },
449
+ "communicator.exchange": {
450
+ "total": 1264.3674498000264,
451
+ "count": 400988,
452
+ "is_parallel": true,
453
+ "self": 1264.3674498000264
454
+ },
455
+ "steps_from_proto": {
456
+ "total": 138.3484626000537,
457
+ "count": 400988,
458
+ "is_parallel": true,
459
+ "self": 27.723966900038533,
460
+ "children": {
461
+ "_process_maybe_compressed_observation": {
462
+ "total": 98.63544689990084,
463
+ "count": 801976,
464
+ "is_parallel": true,
465
+ "self": 7.669849399944397,
466
+ "children": {
467
+ "_observation_to_np_array": {
468
+ "total": 90.96559749995644,
469
+ "count": 1203240,
470
+ "is_parallel": true,
471
+ "self": 7.956188699813637,
472
+ "children": {
473
+ "process_pixels": {
474
+ "total": 83.00940880014281,
475
+ "count": 1203240,
476
+ "is_parallel": true,
477
+ "self": 39.201315600020735,
478
+ "children": {
479
+ "image_decompress": {
480
+ "total": 43.80809320012207,
481
+ "count": 1203240,
482
+ "is_parallel": true,
483
+ "self": 43.80809320012207
484
+ }
485
+ }
486
+ }
487
+ }
488
+ }
489
+ }
490
+ },
491
+ "_process_rank_one_or_two_observation": {
492
+ "total": 11.989048800114315,
493
+ "count": 801976,
494
+ "is_parallel": true,
495
+ "self": 11.989048800114315
496
+ }
497
+ }
498
+ }
499
+ }
500
+ }
501
+ }
502
+ }
503
+ }
504
+ }
505
+ }
506
+ }
507
+ }
508
+ },
509
+ "trainer_threads": {
510
+ "total": 2.9199999971751822e-05,
511
+ "count": 1,
512
+ "self": 2.9199999971751822e-05,
513
+ "children": {
514
+ "thread_root": {
515
+ "total": 0.0,
516
+ "count": 0,
517
+ "is_parallel": true,
518
+ "self": 0.0,
519
+ "children": {
520
+ "trainer_advance": {
521
+ "total": 3667.4640509000888,
522
+ "count": 179820,
523
+ "is_parallel": true,
524
+ "self": 3.7331988001337777,
525
+ "children": {
526
+ "process_trajectory": {
527
+ "total": 2924.198506799955,
528
+ "count": 179820,
529
+ "is_parallel": true,
530
+ "self": 2923.8035963999555,
531
+ "children": {
532
+ "RLTrainer._checkpoint": {
533
+ "total": 0.39491039999961686,
534
+ "count": 2,
535
+ "is_parallel": true,
536
+ "self": 0.39491039999961686
537
+ }
538
+ }
539
+ },
540
+ "_update_policy": {
541
+ "total": 739.5323453000001,
542
+ "count": 135,
543
+ "is_parallel": true,
544
+ "self": 494.49920119999626,
545
+ "children": {
546
+ "TorchPPOOptimizer.update": {
547
+ "total": 245.0331441000038,
548
+ "count": 3393,
549
+ "is_parallel": true,
550
+ "self": 245.0331441000038
551
+ }
552
+ }
553
+ }
554
+ }
555
+ }
556
+ }
557
+ }
558
+ }
559
+ },
560
+ "TrainerController._save_models": {
561
+ "total": 0.17568800000026386,
562
+ "count": 1,
563
+ "self": 0.011633200000233046,
564
+ "children": {
565
+ "RLTrainer._checkpoint": {
566
+ "total": 0.1640548000000308,
567
+ "count": 1,
568
+ "self": 0.1640548000000308
569
+ }
570
+ }
571
+ }
572
+ }
573
+ }
574
+ }
575
+ }
run_logs/training_status.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "difficulty": {
3
+ "lesson_num": 0
4
+ },
5
+ "task": {
6
+ "lesson_num": 0
7
+ },
8
+ "Agent": {
9
+ "checkpoints": [
10
+ {
11
+ "steps": 499790,
12
+ "file_path": "results\\DroneBasedReforestation/train/DroneBasedReforestation_difficulty_5_task_0_run_id_2_train\\Agent\\Agent-499790.onnx",
13
+ "reward": 4.472954905950106,
14
+ "creation_time": 1717632513.0922408,
15
+ "auxillary_file_paths": [
16
+ "results\\DroneBasedReforestation/train/DroneBasedReforestation_difficulty_5_task_0_run_id_2_train\\Agent\\Agent-499790.pt"
17
+ ]
18
+ },
19
+ {
20
+ "steps": 999731,
21
+ "file_path": "results\\DroneBasedReforestation/train/DroneBasedReforestation_difficulty_5_task_0_run_id_2_train\\Agent\\Agent-999731.onnx",
22
+ "reward": 1.064413384957747,
23
+ "creation_time": 1717634049.9194422,
24
+ "auxillary_file_paths": [
25
+ "results\\DroneBasedReforestation/train/DroneBasedReforestation_difficulty_5_task_0_run_id_2_train\\Agent\\Agent-999731.pt"
26
+ ]
27
+ },
28
+ {
29
+ "steps": 1200105,
30
+ "file_path": "results\\DroneBasedReforestation/train/DroneBasedReforestation_difficulty_5_task_0_run_id_2_train\\Agent\\Agent-1200105.onnx",
31
+ "reward": 18.174571646584404,
32
+ "creation_time": 1717634666.5288935,
33
+ "auxillary_file_paths": [
34
+ "results\\DroneBasedReforestation/train/DroneBasedReforestation_difficulty_5_task_0_run_id_2_train\\Agent\\Agent-1200105.pt"
35
+ ]
36
+ }
37
+ ],
38
+ "final_checkpoint": {
39
+ "steps": 1200105,
40
+ "file_path": "results\\DroneBasedReforestation/train/DroneBasedReforestation_difficulty_5_task_0_run_id_2_train\\Agent.onnx",
41
+ "reward": 18.174571646584404,
42
+ "creation_time": 1717634666.5288935,
43
+ "auxillary_file_paths": [
44
+ "results\\DroneBasedReforestation/train/DroneBasedReforestation_difficulty_5_task_0_run_id_2_train\\Agent\\Agent-1200105.pt"
45
+ ]
46
+ }
47
+ },
48
+ "metadata": {
49
+ "stats_format_version": "0.3.0",
50
+ "mlagents_version": "0.30.0",
51
+ "torch_version": "1.7.1+cu110"
52
+ }
53
+ }