Hugging Face's logo

hivex-research
/
hivex-DBR-PPO-baseline-task-2-difficulty-4

Reinforcement Learning
TensorBoard
ONNX
hivex
hivex-drone-based-reforestation
multi-agent-reinforcement-learning
Eval Results
Model card Files Metrics Community
philippds commited on
Commit
03bfa67
•
1 Parent(s): 25fccc5

Upload 13 files

Browse files
Files changed (13) hide show
  1. Agent.onnx +3 -0
  2. Agent/Agent-1201137.onnx +3 -0
  3. Agent/Agent-1201137.pt +3 -0
  4. Agent/Agent-499826.onnx +3 -0
  5. Agent/Agent-499826.pt +3 -0
  6. Agent/Agent-999942.onnx +3 -0
  7. Agent/Agent-999942.pt +3 -0
  8. Agent/checkpoint.pt +3 -0
  9. Agent/events.out.tfevents.1717248806.RICHARD.13176.0 +3 -0
  10. README.md +35 -0
  11. configuration.yaml +107 -0
  12. run_logs/timers.json +575 -0
  13. 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:ee45a939c383451f278b4bae0a4242d1d8e0f575948257a33043589631af9871
3
+ size 562656
Agent/Agent-1201137.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ee45a939c383451f278b4bae0a4242d1d8e0f575948257a33043589631af9871
3
+ size 562656
Agent/Agent-1201137.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:34fbefc56ce7720e6a9e46d92268f1a67a38c0988852b9402ab12da17eb6e8dc
3
+ size 4530031
Agent/Agent-499826.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cc493458c7b104cd498e1a1cbc634909b5f4e6f6e312a9c7733299767b953afd
3
+ size 562656
Agent/Agent-499826.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:337eda7cdd8e98b74ac205b75382be61f7bd23bee2090c3b799699cd17129aad
3
+ size 4530031
Agent/Agent-999942.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:14476be7f137ec5ae0f9f0f7eeb7519456c5445235a7565c11eb25b065294974
3
+ size 562656
Agent/Agent-999942.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0e246fb2536d52735926bb34ec042e1ae4823324223594a8c10148a97635fa7d
3
+ size 4530031
Agent/checkpoint.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:34fbefc56ce7720e6a9e46d92268f1a67a38c0988852b9402ab12da17eb6e8dc
3
+ size 4530031
Agent/events.out.tfevents.1717248806.RICHARD.13176.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3c90893a100abde313ee772423f9756874abd2aa6eb39b0ff6519f1f92420e32
3
+ size 2101926
README.md ADDED
@@ -0,0 +1,35 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: hivex
3
+ original_train_name: DroneBasedReforestation_difficulty_4_task_2_run_id_1_train
4
+ tags:
5
+ - hivex
6
+ - hivex-drone-based-reforestation
7
+ - reinforcement-learning
8
+ - multi-agent-reinforcement-learning
9
+ model-index:
10
+ - name: hivex-DBR-PPO-baseline-task-2-difficulty-4
11
+ results:
12
+ - task:
13
+ type: sub-task
14
+ name: pick_up_seed_at_base
15
+ task-id: 2
16
+ difficulty-id: 4
17
+ dataset:
18
+ name: hivex-drone-based-reforestation
19
+ type: hivex-drone-based-reforestation
20
+ metrics:
21
+ - type: out_of_energy_count
22
+ value: 0.5909523957967758 +/- 0.09171894105446358
23
+ name: Out of Energy Count
24
+ verified: true
25
+ - type: recharge_energy_count
26
+ value: 125.54469884961844 +/- 115.46428296295271
27
+ name: Recharge Energy Count
28
+ verified: true
29
+ - type: cumulative_reward
30
+ value: 12.542430520057678 +/- 7.328528013270426
31
+ name: Cumulative Reward
32
+ verified: true
33
+ ---
34
+
35
+ This model serves as the baseline for the **Drone-Based Reforestation** environment, trained and tested on task <code>2</code> with difficulty <code>4</code> using the Proximal Policy Optimization (PPO) algorithm.<br><br>Environment: **Drone-Based Reforestation**<br>Task: <code>2</code><br>Difficulty: <code>4</code><br>Algorithm: <code>PPO</code><br>Episode Length: <code>2000</code><br>Training <code>max_steps</code>: <code>1200000</code><br>Testing <code>max_steps</code>: <code>300000</code><br><br>Train & Test [Scripts](https://github.com/hivex-research/hivex)<br>Download the [Environment](https://github.com/hivex-research/hivex-environments)
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: 4
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: DroneBasedReforestation/train/DroneBasedReforestation_difficulty_4_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 +1,575 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "name": "root",
3
+ "gauges": {
4
+ "Agent.Policy.Entropy.mean": {
5
+ "value": 1.4389417171478271,
6
+ "min": 1.4189385175704956,
7
+ "max": 1.442765235900879,
8
+ "count": 200
9
+ },
10
+ "Agent.Policy.Entropy.sum": {
11
+ "value": 9781.92578125,
12
+ "min": 7058.5087890625,
13
+ "max": 9982.1494140625,
14
+ "count": 200
15
+ },
16
+ "Agent.DroneBasedReforestation.TreeDropCount.mean": {
17
+ "value": 0.0,
18
+ "min": 0.0,
19
+ "max": 0.0,
20
+ "count": 200
21
+ },
22
+ "Agent.DroneBasedReforestation.TreeDropCount.sum": {
23
+ "value": 0.0,
24
+ "min": 0.0,
25
+ "max": 0.0,
26
+ "count": 200
27
+ },
28
+ "Agent.DroneBasedReforestation.RechargeEnergyCount.mean": {
29
+ "value": 82.5,
30
+ "min": 0.0,
31
+ "max": 494.1333333333333,
32
+ "count": 200
33
+ },
34
+ "Agent.DroneBasedReforestation.RechargeEnergyCount.sum": {
35
+ "value": 1980.0,
36
+ "min": 0.0,
37
+ "max": 7412.0,
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": 0.5833333333333334,
54
+ "min": 0.38095238095238093,
55
+ "max": 0.7333333333333333,
56
+ "count": 200
57
+ },
58
+ "Agent.DroneBasedReforestation.OutofEnergyCount.sum": {
59
+ "value": 14.0,
60
+ "min": 6.0,
61
+ "max": 15.0,
62
+ "count": 200
63
+ },
64
+ "Agent.DroneBasedReforestation.CumulativeDistanceUntilTreeDrop.mean": {
65
+ "value": 0.0,
66
+ "min": 0.0,
67
+ "max": 0.0,
68
+ "count": 200
69
+ },
70
+ "Agent.DroneBasedReforestation.CumulativeDistanceUntilTreeDrop.sum": {
71
+ "value": 0.0,
72
+ "min": 0.0,
73
+ "max": 0.0,
74
+ "count": 200
75
+ },
76
+ "Agent.DroneBasedReforestation.CumulativeTreeDropReward.mean": {
77
+ "value": 0.0,
78
+ "min": 0.0,
79
+ "max": 0.0,
80
+ "count": 200
81
+ },
82
+ "Agent.DroneBasedReforestation.CumulativeTreeDropReward.sum": {
83
+ "value": 0.0,
84
+ "min": 0.0,
85
+ "max": 0.0,
86
+ "count": 200
87
+ },
88
+ "Agent.DroneBasedReforestation.CumulativeDistanceReward.mean": {
89
+ "value": 0.0,
90
+ "min": 0.0,
91
+ "max": 0.0,
92
+ "count": 200
93
+ },
94
+ "Agent.DroneBasedReforestation.CumulativeDistanceReward.sum": {
95
+ "value": 0.0,
96
+ "min": 0.0,
97
+ "max": 0.0,
98
+ "count": 200
99
+ },
100
+ "Agent.DroneBasedReforestation.CumulativeNormalizedDistanceUntilTreeDrop.mean": {
101
+ "value": 0.0,
102
+ "min": 0.0,
103
+ "max": 0.0,
104
+ "count": 200
105
+ },
106
+ "Agent.DroneBasedReforestation.CumulativeNormalizedDistanceUntilTreeDrop.sum": {
107
+ "value": 0.0,
108
+ "min": 0.0,
109
+ "max": 0.0,
110
+ "count": 200
111
+ },
112
+ "Agent.DroneBasedReforestation.CumulativeDistancetoExistingTrees.mean": {
113
+ "value": 0.0,
114
+ "min": 0.0,
115
+ "max": 0.0,
116
+ "count": 200
117
+ },
118
+ "Agent.DroneBasedReforestation.CumulativeDistancetoExistingTrees.sum": {
119
+ "value": 0.0,
120
+ "min": 0.0,
121
+ "max": 0.0,
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": 283.0,
150
+ "min": 250.75,
151
+ "max": 399.0,
152
+ "count": 200
153
+ },
154
+ "Agent.Environment.EpisodeLength.sum": {
155
+ "value": 6792.0,
156
+ "min": 4884.0,
157
+ "max": 6954.0,
158
+ "count": 200
159
+ },
160
+ "Agent.Step.mean": {
161
+ "value": 1199937.0,
162
+ "min": 5600.0,
163
+ "max": 1199937.0,
164
+ "count": 200
165
+ },
166
+ "Agent.Step.sum": {
167
+ "value": 1199937.0,
168
+ "min": 5600.0,
169
+ "max": 1199937.0,
170
+ "count": 200
171
+ },
172
+ "Agent.Policy.CuriosityValueEstimate.mean": {
173
+ "value": 0.2653595805168152,
174
+ "min": 0.029307620599865913,
175
+ "max": 0.8288605213165283,
176
+ "count": 200
177
+ },
178
+ "Agent.Policy.CuriosityValueEstimate.sum": {
179
+ "value": 5.8379106521606445,
180
+ "min": 0.43961429595947266,
181
+ "max": 14.840982437133789,
182
+ "count": 200
183
+ },
184
+ "Agent.Policy.ExtrinsicValueEstimate.mean": {
185
+ "value": 2.1637535095214844,
186
+ "min": 0.07653423398733139,
187
+ "max": 3.4586215019226074,
188
+ "count": 200
189
+ },
190
+ "Agent.Policy.ExtrinsicValueEstimate.sum": {
191
+ "value": 47.602577209472656,
192
+ "min": 1.071479320526123,
193
+ "max": 64.29899597167969,
194
+ "count": 200
195
+ },
196
+ "Agent.Environment.CumulativeReward.mean": {
197
+ "value": 17.454433063976467,
198
+ "min": -1.0649333159128824,
199
+ "max": 38.686707599957785,
200
+ "count": 200
201
+ },
202
+ "Agent.Environment.CumulativeReward.sum": {
203
+ "value": 383.99752740748227,
204
+ "min": -15.973999738693237,
205
+ "max": 582.9760599876754,
206
+ "count": 200
207
+ },
208
+ "Agent.Policy.CuriosityReward.mean": {
209
+ "value": 0.746854851488024,
210
+ "min": 0.0,
211
+ "max": 14.208348274230957,
212
+ "count": 200
213
+ },
214
+ "Agent.Policy.CuriosityReward.sum": {
215
+ "value": 16.430806732736528,
216
+ "min": 0.0,
217
+ "max": 255.75026893615723,
218
+ "count": 200
219
+ },
220
+ "Agent.Policy.ExtrinsicReward.mean": {
221
+ "value": 15.708987276408482,
222
+ "min": -0.9584401766459147,
223
+ "max": 34.81802397171656,
224
+ "count": 200
225
+ },
226
+ "Agent.Policy.ExtrinsicReward.sum": {
227
+ "value": 345.5977200809866,
228
+ "min": -14.37660264968872,
229
+ "max": 524.6783403318841,
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": 0.02009747641083474,
246
+ "min": 0.015691468220514555,
247
+ "max": 0.034741795350176595,
248
+ "count": 139
249
+ },
250
+ "Agent.Losses.PolicyLoss.sum": {
251
+ "value": 0.02009747641083474,
252
+ "min": 0.015691468220514555,
253
+ "max": 0.034741795350176595,
254
+ "count": 139
255
+ },
256
+ "Agent.Losses.ValueLoss.mean": {
257
+ "value": 7.238462497790654,
258
+ "min": 0.009945196118981888,
259
+ "max": 26.402251879374187,
260
+ "count": 139
261
+ },
262
+ "Agent.Losses.ValueLoss.sum": {
263
+ "value": 7.238462497790654,
264
+ "min": 0.009945196118981888,
265
+ "max": 26.402251879374187,
266
+ "count": 139
267
+ },
268
+ "Agent.Policy.LearningRate.mean": {
269
+ "value": 1.8758493747499982e-06,
270
+ "min": 1.8758493747499982e-06,
271
+ "max": 0.0002979000007,
272
+ "count": 139
273
+ },
274
+ "Agent.Policy.LearningRate.sum": {
275
+ "value": 1.8758493747499982e-06,
276
+ "min": 1.8758493747499982e-06,
277
+ "max": 0.0002979000007,
278
+ "count": 139
279
+ },
280
+ "Agent.Policy.Epsilon.mean": {
281
+ "value": 0.10062525,
282
+ "min": 0.10062525,
283
+ "max": 0.1993,
284
+ "count": 139
285
+ },
286
+ "Agent.Policy.Epsilon.sum": {
287
+ "value": 0.10062525,
288
+ "min": 0.10062525,
289
+ "max": 0.1993,
290
+ "count": 139
291
+ },
292
+ "Agent.Policy.Beta.mean": {
293
+ "value": 4.119997499999998e-05,
294
+ "min": 4.119997499999998e-05,
295
+ "max": 0.00496507,
296
+ "count": 139
297
+ },
298
+ "Agent.Policy.Beta.sum": {
299
+ "value": 4.119997499999998e-05,
300
+ "min": 4.119997499999998e-05,
301
+ "max": 0.00496507,
302
+ "count": 139
303
+ },
304
+ "Agent.Losses.CuriosityForwardLoss.mean": {
305
+ "value": 0.02619731449522078,
306
+ "min": 0.024310729233548045,
307
+ "max": 0.5835290277997652,
308
+ "count": 139
309
+ },
310
+ "Agent.Losses.CuriosityForwardLoss.sum": {
311
+ "value": 0.02619731449522078,
312
+ "min": 0.024310729233548045,
313
+ "max": 0.5835290277997652,
314
+ "count": 139
315
+ },
316
+ "Agent.Losses.CuriosityInverseLoss.mean": {
317
+ "value": 1.9983123789230983,
318
+ "min": 1.9722897013028462,
319
+ "max": 3.310828596353531,
320
+ "count": 139
321
+ },
322
+ "Agent.Losses.CuriosityInverseLoss.sum": {
323
+ "value": 1.9983123789230983,
324
+ "min": 1.9722897013028462,
325
+ "max": 3.310828596353531,
326
+ "count": 139
327
+ }
328
+ },
329
+ "metadata": {
330
+ "timer_format_version": "0.1.0",
331
+ "start_time_seconds": "1717248804",
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_4_task_2_run_id_1_train.yaml --run-id=DroneBasedReforestation/train/DroneBasedReforestation_difficulty_4_task_2_run_id_1_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": "1717252409"
340
+ },
341
+ "total": 3604.5230556,
342
+ "count": 1,
343
+ "self": 0.3121977000005245,
344
+ "children": {
345
+ "run_training.setup": {
346
+ "total": 0.04929309999999998,
347
+ "count": 1,
348
+ "self": 0.04929309999999998
349
+ },
350
+ "TrainerController.start_learning": {
351
+ "total": 3604.1615647999997,
352
+ "count": 1,
353
+ "self": 5.150592599950414,
354
+ "children": {
355
+ "TrainerController._reset_env": {
356
+ "total": 2.1376168,
357
+ "count": 1,
358
+ "self": 2.1376168
359
+ },
360
+ "TrainerController.advance": {
361
+ "total": 3596.69150620005,
362
+ "count": 401217,
363
+ "self": 4.888665899957232,
364
+ "children": {
365
+ "env_step": {
366
+ "total": 3591.8028403000926,
367
+ "count": 401217,
368
+ "self": 1598.6335483001171,
369
+ "children": {
370
+ "SubprocessEnvManager._take_step": {
371
+ "total": 1989.9212179998997,
372
+ "count": 401217,
373
+ "self": 10.38291419988036,
374
+ "children": {
375
+ "TorchPolicy.evaluate": {
376
+ "total": 1979.5383038000193,
377
+ "count": 400379,
378
+ "self": 1979.5383038000193
379
+ }
380
+ }
381
+ },
382
+ "workers": {
383
+ "total": 3.2480740000757544,
384
+ "count": 401217,
385
+ "self": 0.0,
386
+ "children": {
387
+ "worker_root": {
388
+ "total": 3595.269167799993,
389
+ "count": 401217,
390
+ "is_parallel": true,
391
+ "self": 2201.3683121999547,
392
+ "children": {
393
+ "steps_from_proto": {
394
+ "total": 0.006103399999999981,
395
+ "count": 1,
396
+ "is_parallel": true,
397
+ "self": 0.00010250000000011639,
398
+ "children": {
399
+ "_process_maybe_compressed_observation": {
400
+ "total": 0.005953199999999992,
401
+ "count": 2,
402
+ "is_parallel": true,
403
+ "self": 2.859999999982321e-05,
404
+ "children": {
405
+ "_observation_to_np_array": {
406
+ "total": 0.005924600000000169,
407
+ "count": 3,
408
+ "is_parallel": true,
409
+ "self": 2.8500000000208914e-05,
410
+ "children": {
411
+ "process_pixels": {
412
+ "total": 0.00589609999999996,
413
+ "count": 3,
414
+ "is_parallel": true,
415
+ "self": 0.00023630000000007811,
416
+ "children": {
417
+ "image_decompress": {
418
+ "total": 0.005659799999999882,
419
+ "count": 3,
420
+ "is_parallel": true,
421
+ "self": 0.005659799999999882
422
+ }
423
+ }
424
+ }
425
+ }
426
+ }
427
+ }
428
+ },
429
+ "_process_rank_one_or_two_observation": {
430
+ "total": 4.7699999999872844e-05,
431
+ "count": 2,
432
+ "is_parallel": true,
433
+ "self": 4.7699999999872844e-05
434
+ }
435
+ }
436
+ },
437
+ "UnityEnvironment.step": {
438
+ "total": 1393.8947522000383,
439
+ "count": 401217,
440
+ "is_parallel": true,
441
+ "self": 17.846898699817302,
442
+ "children": {
443
+ "UnityEnvironment._generate_step_input": {
444
+ "total": 19.743010899945794,
445
+ "count": 401217,
446
+ "is_parallel": true,
447
+ "self": 19.743010899945794
448
+ },
449
+ "communicator.exchange": {
450
+ "total": 1214.4236552000543,
451
+ "count": 401217,
452
+ "is_parallel": true,
453
+ "self": 1214.4236552000543
454
+ },
455
+ "steps_from_proto": {
456
+ "total": 141.88118740022088,
457
+ "count": 401217,
458
+ "is_parallel": true,
459
+ "self": 27.934730900210923,
460
+ "children": {
461
+ "_process_maybe_compressed_observation": {
462
+ "total": 101.46559579985372,
463
+ "count": 802434,
464
+ "is_parallel": true,
465
+ "self": 8.125860299694509,
466
+ "children": {
467
+ "_observation_to_np_array": {
468
+ "total": 93.33973550015921,
469
+ "count": 1204416,
470
+ "is_parallel": true,
471
+ "self": 7.935106600225282,
472
+ "children": {
473
+ "process_pixels": {
474
+ "total": 85.40462889993393,
475
+ "count": 1204416,
476
+ "is_parallel": true,
477
+ "self": 40.33854679993299,
478
+ "children": {
479
+ "image_decompress": {
480
+ "total": 45.06608210000093,
481
+ "count": 1204416,
482
+ "is_parallel": true,
483
+ "self": 45.06608210000093
484
+ }
485
+ }
486
+ }
487
+ }
488
+ }
489
+ }
490
+ },
491
+ "_process_rank_one_or_two_observation": {
492
+ "total": 12.480860700156235,
493
+ "count": 802434,
494
+ "is_parallel": true,
495
+ "self": 12.480860700156235
496
+ }
497
+ }
498
+ }
499
+ }
500
+ }
501
+ }
502
+ }
503
+ }
504
+ }
505
+ }
506
+ }
507
+ }
508
+ },
509
+ "trainer_threads": {
510
+ "total": 2.4199999643315095e-05,
511
+ "count": 1,
512
+ "self": 2.4199999643315095e-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": 3600.703408599978,
522
+ "count": 175653,
523
+ "is_parallel": true,
524
+ "self": 3.4899279999713144,
525
+ "children": {
526
+ "process_trajectory": {
527
+ "total": 2869.1280733000076,
528
+ "count": 175653,
529
+ "is_parallel": true,
530
+ "self": 2868.7198174000077,
531
+ "children": {
532
+ "RLTrainer._checkpoint": {
533
+ "total": 0.40825589999985823,
534
+ "count": 2,
535
+ "is_parallel": true,
536
+ "self": 0.40825589999985823
537
+ }
538
+ }
539
+ },
540
+ "_update_policy": {
541
+ "total": 728.0854072999994,
542
+ "count": 139,
543
+ "is_parallel": true,
544
+ "self": 488.24386740000165,
545
+ "children": {
546
+ "TorchPPOOptimizer.update": {
547
+ "total": 239.8415398999977,
548
+ "count": 3372,
549
+ "is_parallel": true,
550
+ "self": 239.8415398999977
551
+ }
552
+ }
553
+ }
554
+ }
555
+ }
556
+ }
557
+ }
558
+ }
559
+ },
560
+ "TrainerController._save_models": {
561
+ "total": 0.1818249999996624,
562
+ "count": 1,
563
+ "self": 0.0060155999995004095,
564
+ "children": {
565
+ "RLTrainer._checkpoint": {
566
+ "total": 0.17580940000016199,
567
+ "count": 1,
568
+ "self": 0.17580940000016199
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": 499826,
12
+ "file_path": "results\\DroneBasedReforestation/train/DroneBasedReforestation_difficulty_4_task_2_run_id_1_train\\Agent\\Agent-499826.onnx",
13
+ "reward": -0.9994999766349792,
14
+ "creation_time": 1717250298.3967845,
15
+ "auxillary_file_paths": [
16
+ "results\\DroneBasedReforestation/train/DroneBasedReforestation_difficulty_4_task_2_run_id_1_train\\Agent\\Agent-499826.pt"
17
+ ]
18
+ },
19
+ {
20
+ "steps": 999942,
21
+ "file_path": "results\\DroneBasedReforestation/train/DroneBasedReforestation_difficulty_4_task_2_run_id_1_train\\Agent\\Agent-999942.onnx",
22
+ "reward": -0.998800003528595,
23
+ "creation_time": 1717251804.8955786,
24
+ "auxillary_file_paths": [
25
+ "results\\DroneBasedReforestation/train/DroneBasedReforestation_difficulty_4_task_2_run_id_1_train\\Agent\\Agent-999942.pt"
26
+ ]
27
+ },
28
+ {
29
+ "steps": 1201137,
30
+ "file_path": "results\\DroneBasedReforestation/train/DroneBasedReforestation_difficulty_4_task_2_run_id_1_train\\Agent\\Agent-1201137.onnx",
31
+ "reward": 15.915000875356297,
32
+ "creation_time": 1717252409.069626,
33
+ "auxillary_file_paths": [
34
+ "results\\DroneBasedReforestation/train/DroneBasedReforestation_difficulty_4_task_2_run_id_1_train\\Agent\\Agent-1201137.pt"
35
+ ]
36
+ }
37
+ ],
38
+ "final_checkpoint": {
39
+ "steps": 1201137,
40
+ "file_path": "results\\DroneBasedReforestation/train/DroneBasedReforestation_difficulty_4_task_2_run_id_1_train\\Agent.onnx",
41
+ "reward": 15.915000875356297,
42
+ "creation_time": 1717252409.069626,
43
+ "auxillary_file_paths": [
44
+ "results\\DroneBasedReforestation/train/DroneBasedReforestation_difficulty_4_task_2_run_id_1_train\\Agent\\Agent-1201137.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
+ }