Hugging Face's logo

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

Reinforcement Learning
TensorBoard
ONNX
hivex
hivex-aerial-wildfire-suppression
multi-agent-reinforcement-learning
Eval Results
Model card Files Metrics Community
philippds commited on
Commit
5b39433
•
1 Parent(s): 43114c5

Upload 15 files

Browse files
Files changed (15) hide show
  1. Agent.onnx +3 -0
  2. Agent/Agent-1497855.onnx +3 -0
  3. Agent/Agent-1497855.pt +3 -0
  4. Agent/Agent-1804605.onnx +3 -0
  5. Agent/Agent-1804605.pt +3 -0
  6. Agent/Agent-499501.onnx +3 -0
  7. Agent/Agent-499501.pt +3 -0
  8. Agent/Agent-997596.onnx +3 -0
  9. Agent/Agent-997596.pt +3 -0
  10. Agent/checkpoint.pt +3 -0
  11. Agent/events.out.tfevents.1718211077.RICHARD.27612.0 +3 -0
  12. README.md +74 -0
  13. configuration.yaml +94 -0
  14. run_logs/timers.json +527 -0
  15. run_logs/training_status.json +62 -0
Agent.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f371696ea1c8ea32a782937b8200ab46dbd2a78bb4ec2cb32878371c31e00cd0
3
+ size 883467
Agent/Agent-1497855.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8fbcaf04f28211e9295585f5aa5d16b1bc4be8d2f458b3bdb47ba0c5edc7bda3
3
+ size 883467
Agent/Agent-1497855.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5274bc914df1580460fe439d63f3a1bbca25092afe30596d52e1b9cd9c5b881c
3
+ size 5302191
Agent/Agent-1804605.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f371696ea1c8ea32a782937b8200ab46dbd2a78bb4ec2cb32878371c31e00cd0
3
+ size 883467
Agent/Agent-1804605.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2ed0f888d8624ab068a5f04e4c007cdebe16d33680177d2ab09108ca3820e8e1
3
+ size 5302191
Agent/Agent-499501.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2ca663e4a354412c30b288638f4d91f9fd2ccf7061dc268d4642747502ec6ae8
3
+ size 883467
Agent/Agent-499501.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:24d38d4c0c9e741b89e0b4a3e5d9473aefdfa50244c7323e8a49aec8b118911c
3
+ size 5302191
Agent/Agent-997596.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8982ab8e0223f20eb7223132fac97398a9151184fb15d61a873bd9931aa88ee6
3
+ size 883467
Agent/Agent-997596.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b3295bafe906c13f6364c33728a3d7f44982eca7ef428ac31068d3554bc369c0
3
+ size 5302191
Agent/checkpoint.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2ed0f888d8624ab068a5f04e4c007cdebe16d33680177d2ab09108ca3820e8e1
3
+ size 5302191
Agent/events.out.tfevents.1718211077.RICHARD.27612.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:bf7af72ce1da80a1632dbb24c04edda236f9afcc82089a2ba696a8d1086ca8c4
3
+ size 1667972
README.md ADDED
@@ -0,0 +1,74 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: hivex
3
+ original_train_name: AerialWildfireSuppression_difficulty_3_task_2_run_id_0_train
4
+ tags:
5
+ - hivex
6
+ - hivex-aerial-wildfire-suppression
7
+ - reinforcement-learning
8
+ - multi-agent-reinforcement-learning
9
+ model-index:
10
+ - name: hivex-AWS-PPO-baseline-task-2-difficulty-3
11
+ results:
12
+ - task:
13
+ type: sub-task
14
+ name: maximize_preparing_non_burning_trees
15
+ task-id: 2
16
+ difficulty-id: 3
17
+ dataset:
18
+ name: hivex-aerial-wildfire-suppression
19
+ type: hivex-aerial-wildfire-suppression
20
+ metrics:
21
+ - type: crash_count
22
+ value: 0.0833333358168602 +/- 0.1378617027533506
23
+ name: Crash Count
24
+ verified: true
25
+ - type: extinguishing_trees
26
+ value: 18.683333218097687 +/- 27.558120115325824
27
+ name: Extinguishing Trees
28
+ verified: true
29
+ - type: extinguishing_trees_reward
30
+ value: 93.41666712760926 +/- 137.79060314424476
31
+ name: Extinguishing Trees Reward
32
+ verified: true
33
+ - type: fire_out
34
+ value: 0.35833333656191824 +/- 0.36784102365159543
35
+ name: Fire Out
36
+ verified: true
37
+ - type: fire_too_close_to_city
38
+ value: 0.975 +/- 0.11180339887498947
39
+ name: Fire too Close to City
40
+ verified: true
41
+ - type: preparing_trees
42
+ value: 556.9166661500931 +/- 491.4252421024537
43
+ name: Preparing Trees
44
+ verified: true
45
+ - type: preparing_trees_reward
46
+ value: 2784.5833506584167 +/- 2457.1262108957085
47
+ name: Preparing Trees Reward
48
+ verified: true
49
+ - type: water_drop
50
+ value: 39.591666674613954 +/- 20.687346400193867
51
+ name: Water Drop
52
+ verified: true
53
+ - type: water_pickup
54
+ value: 39.18333334922791 +/- 20.631967029054877
55
+ name: Water Pickup
56
+ verified: true
57
+ - type: cumulative_reward
58
+ value: 2911.9833114624025 +/- 2372.473518108635
59
+ name: Cumulative Reward
60
+ verified: true
61
+ ---
62
+
63
+ This model serves as the baseline for the **Aerial Wildfire Suppression** environment, trained and tested on task <code>2</code> with difficulty <code>3</code> using the Proximal Policy Optimization (PPO) algorithm.<br><br>
64
+
65
+ Environment: **Aerial Wildfire Suppression**<br>
66
+ Task: <code>2</code><br>
67
+ Difficulty: <code>3</code><br>
68
+ Algorithm: <code>PPO</code><br>
69
+ Episode Length: <code>3000</code><br>
70
+ Training <code>max_steps</code>: <code>1800000</code><br>
71
+ Testing <code>max_steps</code>: <code>180000</code><br><br>
72
+
73
+ Train & Test [Scripts](https://github.com/hivex-research/hivex)<br>
74
+ Download the [Environment](https://github.com/hivex-research/hivex-environments)
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: 4096
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: 256
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: 0.995
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: 1800000
41
+ time_horizon: 4096
42
+ summary_freq: 9000
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_AerialWildfireSuppression_win
48
+ env_args: null
49
+ base_port: 5009
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
+ difficulty:
66
+ curriculum:
67
+ - value:
68
+ sampler_type: constant
69
+ sampler_parameters:
70
+ seed: 5000
71
+ value: 3
72
+ name: difficulty
73
+ completion_criteria: null
74
+ task:
75
+ curriculum:
76
+ - value:
77
+ sampler_type: constant
78
+ sampler_parameters:
79
+ seed: 5001
80
+ value: 2
81
+ name: task
82
+ completion_criteria: null
83
+ checkpoint_settings:
84
+ run_id: AerialWildfireSuppression/train/AerialWildfireSuppression_difficulty_3_task_2_run_id_0_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 +1,527 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "name": "root",
3
+ "gauges": {
4
+ "Agent.Policy.Entropy.mean": {
5
+ "value": 1.3792695999145508,
6
+ "min": 1.3790583610534668,
7
+ "max": 1.498435139656067,
8
+ "count": 200
9
+ },
10
+ "Agent.Policy.Entropy.sum": {
11
+ "value": 18044.984375,
12
+ "min": 2166.609375,
13
+ "max": 24333.013671875,
14
+ "count": 200
15
+ },
16
+ "Agent.AerialWildfireSuppression.WaterDrop.mean": {
17
+ "value": 46.166666666666664,
18
+ "min": 1.1515151515151516,
19
+ "max": 150.66666666666666,
20
+ "count": 200
21
+ },
22
+ "Agent.AerialWildfireSuppression.WaterDrop.sum": {
23
+ "value": 277.0,
24
+ "min": 5.0,
25
+ "max": 452.0,
26
+ "count": 200
27
+ },
28
+ "Agent.AerialWildfireSuppression.WaterPickup.mean": {
29
+ "value": 45.833333333333336,
30
+ "min": 1.0606060606060606,
31
+ "max": 150.33333333333334,
32
+ "count": 200
33
+ },
34
+ "Agent.AerialWildfireSuppression.WaterPickup.sum": {
35
+ "value": 275.0,
36
+ "min": 4.0,
37
+ "max": 451.0,
38
+ "count": 200
39
+ },
40
+ "Agent.AerialWildfireSuppression.PreparingTreesReward.mean": {
41
+ "value": 2627.5,
42
+ "min": 13.333333333333334,
43
+ "max": 10433.333333333334,
44
+ "count": 200
45
+ },
46
+ "Agent.AerialWildfireSuppression.PreparingTreesReward.sum": {
47
+ "value": 15765.0,
48
+ "min": 40.0,
49
+ "max": 42045.0,
50
+ "count": 200
51
+ },
52
+ "Agent.AerialWildfireSuppression.PreparingTrees.mean": {
53
+ "value": 525.5,
54
+ "min": 2.6666666666666665,
55
+ "max": 2086.6666666666665,
56
+ "count": 200
57
+ },
58
+ "Agent.AerialWildfireSuppression.PreparingTrees.sum": {
59
+ "value": 3153.0,
60
+ "min": 8.0,
61
+ "max": 8409.0,
62
+ "count": 200
63
+ },
64
+ "Agent.AerialWildfireSuppression.ExtinguishingTreesReward.mean": {
65
+ "value": 295.0,
66
+ "min": 0.0,
67
+ "max": 813.3333333333334,
68
+ "count": 200
69
+ },
70
+ "Agent.AerialWildfireSuppression.ExtinguishingTreesReward.sum": {
71
+ "value": 1770.0,
72
+ "min": 0.0,
73
+ "max": 2440.0,
74
+ "count": 200
75
+ },
76
+ "Agent.AerialWildfireSuppression.ExtinguishingTrees.mean": {
77
+ "value": 59.0,
78
+ "min": 0.0,
79
+ "max": 162.66666666666666,
80
+ "count": 200
81
+ },
82
+ "Agent.AerialWildfireSuppression.ExtinguishingTrees.sum": {
83
+ "value": 354.0,
84
+ "min": 0.0,
85
+ "max": 488.0,
86
+ "count": 200
87
+ },
88
+ "Agent.AerialWildfireSuppression.FireOut.mean": {
89
+ "value": 0.5,
90
+ "min": 0.0,
91
+ "max": 1.0,
92
+ "count": 200
93
+ },
94
+ "Agent.AerialWildfireSuppression.FireOut.sum": {
95
+ "value": 3.0,
96
+ "min": 0.0,
97
+ "max": 3.0,
98
+ "count": 200
99
+ },
100
+ "Agent.AerialWildfireSuppression.FiretooClosetoCity.mean": {
101
+ "value": 1.0,
102
+ "min": 0.0,
103
+ "max": 1.0,
104
+ "count": 200
105
+ },
106
+ "Agent.AerialWildfireSuppression.FiretooClosetoCity.sum": {
107
+ "value": 6.0,
108
+ "min": 0.0,
109
+ "max": 9.0,
110
+ "count": 200
111
+ },
112
+ "Agent.AerialWildfireSuppression.CrashCount.mean": {
113
+ "value": 0.0,
114
+ "min": 0.0,
115
+ "max": 1.0,
116
+ "count": 200
117
+ },
118
+ "Agent.AerialWildfireSuppression.CrashCount.sum": {
119
+ "value": 0.0,
120
+ "min": 0.0,
121
+ "max": 42.0,
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": 2182.5,
150
+ "min": 217.07142857142858,
151
+ "max": 2999.0,
152
+ "count": 200
153
+ },
154
+ "Agent.Environment.EpisodeLength.sum": {
155
+ "value": 13095.0,
156
+ "min": 1521.0,
157
+ "max": 17394.0,
158
+ "count": 200
159
+ },
160
+ "Agent.Step.mean": {
161
+ "value": 1798605.0,
162
+ "min": 8950.0,
163
+ "max": 1798605.0,
164
+ "count": 200
165
+ },
166
+ "Agent.Step.sum": {
167
+ "value": 1798605.0,
168
+ "min": 8950.0,
169
+ "max": 1798605.0,
170
+ "count": 200
171
+ },
172
+ "Agent.Policy.ExtrinsicValueEstimate.mean": {
173
+ "value": 220.4561004638672,
174
+ "min": 4.937549114227295,
175
+ "max": 560.4415893554688,
176
+ "count": 200
177
+ },
178
+ "Agent.Policy.ExtrinsicValueEstimate.sum": {
179
+ "value": 1102.280517578125,
180
+ "min": 202.43951416015625,
181
+ "max": 7264.822265625,
182
+ "count": 200
183
+ },
184
+ "Agent.Environment.CumulativeReward.mean": {
185
+ "value": 1242.2,
186
+ "min": -2.0,
187
+ "max": 9238.25,
188
+ "count": 200
189
+ },
190
+ "Agent.Environment.CumulativeReward.sum": {
191
+ "value": 6211.0,
192
+ "min": -8.0,
193
+ "max": 36953.0,
194
+ "count": 200
195
+ },
196
+ "Agent.Policy.ExtrinsicReward.mean": {
197
+ "value": 1242.2,
198
+ "min": -2.0,
199
+ "max": 9238.25,
200
+ "count": 200
201
+ },
202
+ "Agent.Policy.ExtrinsicReward.sum": {
203
+ "value": 6211.0,
204
+ "min": -8.0,
205
+ "max": 36953.0,
206
+ "count": 200
207
+ },
208
+ "Agent.Losses.PolicyLoss.mean": {
209
+ "value": 0.047655024480939445,
210
+ "min": 0.03828435185316362,
211
+ "max": 0.05972398583891622,
212
+ "count": 193
213
+ },
214
+ "Agent.Losses.PolicyLoss.sum": {
215
+ "value": 0.09531004896187889,
216
+ "min": 0.03828435185316362,
217
+ "max": 0.11073890565968458,
218
+ "count": 193
219
+ },
220
+ "Agent.Losses.ValueLoss.mean": {
221
+ "value": 1198.3555624825613,
222
+ "min": 738.2138187953404,
223
+ "max": 42018.684310913086,
224
+ "count": 193
225
+ },
226
+ "Agent.Losses.ValueLoss.sum": {
227
+ "value": 2396.7111249651225,
228
+ "min": 738.2138187953404,
229
+ "max": 67474.78512234158,
230
+ "count": 193
231
+ },
232
+ "Agent.Policy.LearningRate.mean": {
233
+ "value": 1.0743496419166601e-06,
234
+ "min": 1.0743496419166601e-06,
235
+ "max": 0.00029892075035975,
236
+ "count": 193
237
+ },
238
+ "Agent.Policy.LearningRate.sum": {
239
+ "value": 2.1486992838333202e-06,
240
+ "min": 2.1486992838333202e-06,
241
+ "max": 0.0005978415007195,
242
+ "count": 193
243
+ },
244
+ "Agent.Policy.Epsilon.mean": {
245
+ "value": 0.10035808333333333,
246
+ "min": 0.10035808333333333,
247
+ "max": 0.19964025,
248
+ "count": 193
249
+ },
250
+ "Agent.Policy.Epsilon.sum": {
251
+ "value": 0.20071616666666667,
252
+ "min": 0.10097200000000003,
253
+ "max": 0.3992805,
254
+ "count": 193
255
+ },
256
+ "Agent.Policy.Beta.mean": {
257
+ "value": 2.7868358333333226e-05,
258
+ "min": 2.7868358333333226e-05,
259
+ "max": 0.0049820484750000005,
260
+ "count": 193
261
+ },
262
+ "Agent.Policy.Beta.sum": {
263
+ "value": 5.573671666666645e-05,
264
+ "min": 5.573671666666645e-05,
265
+ "max": 0.009964096950000001,
266
+ "count": 193
267
+ },
268
+ "Agent.IsTraining.mean": {
269
+ "value": 1.0,
270
+ "min": 1.0,
271
+ "max": 1.0,
272
+ "count": 200
273
+ },
274
+ "Agent.IsTraining.sum": {
275
+ "value": 1.0,
276
+ "min": 1.0,
277
+ "max": 1.0,
278
+ "count": 200
279
+ }
280
+ },
281
+ "metadata": {
282
+ "timer_format_version": "0.1.0",
283
+ "start_time_seconds": "1718211075",
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/AerialWildfireSuppression_difficulty_3_task_2_run_id_0_train.yaml --run-id=AerialWildfireSuppression/train/AerialWildfireSuppression_difficulty_3_task_2_run_id_0_train --base-port 5009",
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": "1718215299"
292
+ },
293
+ "total": 4223.7190577,
294
+ "count": 1,
295
+ "self": 0.25431120000030205,
296
+ "children": {
297
+ "run_training.setup": {
298
+ "total": 0.051429200000000064,
299
+ "count": 1,
300
+ "self": 0.051429200000000064
301
+ },
302
+ "TrainerController.start_learning": {
303
+ "total": 4223.4133173,
304
+ "count": 1,
305
+ "self": 8.734806299925367,
306
+ "children": {
307
+ "TrainerController._reset_env": {
308
+ "total": 2.0077410999999996,
309
+ "count": 1,
310
+ "self": 2.0077410999999996
311
+ },
312
+ "TrainerController.advance": {
313
+ "total": 4212.583807900074,
314
+ "count": 601537,
315
+ "self": 8.029701299982662,
316
+ "children": {
317
+ "env_step": {
318
+ "total": 4204.5541066000915,
319
+ "count": 601537,
320
+ "self": 2287.4400150000815,
321
+ "children": {
322
+ "SubprocessEnvManager._take_step": {
323
+ "total": 1910.7111014000236,
324
+ "count": 601537,
325
+ "self": 16.20959830005154,
326
+ "children": {
327
+ "TorchPolicy.evaluate": {
328
+ "total": 1894.501503099972,
329
+ "count": 601537,
330
+ "self": 1894.501503099972
331
+ }
332
+ }
333
+ },
334
+ "workers": {
335
+ "total": 6.402990199986341,
336
+ "count": 601537,
337
+ "self": 0.0,
338
+ "children": {
339
+ "worker_root": {
340
+ "total": 4211.000179899993,
341
+ "count": 601537,
342
+ "is_parallel": true,
343
+ "self": 2344.5818609998964,
344
+ "children": {
345
+ "steps_from_proto": {
346
+ "total": 0.006034899999999954,
347
+ "count": 1,
348
+ "is_parallel": true,
349
+ "self": 0.00010390000000004562,
350
+ "children": {
351
+ "_process_maybe_compressed_observation": {
352
+ "total": 0.005842799999999926,
353
+ "count": 2,
354
+ "is_parallel": true,
355
+ "self": 4.300000000023729e-05,
356
+ "children": {
357
+ "_observation_to_np_array": {
358
+ "total": 0.0057997999999996885,
359
+ "count": 3,
360
+ "is_parallel": true,
361
+ "self": 2.6999999999555158e-05,
362
+ "children": {
363
+ "process_pixels": {
364
+ "total": 0.005772800000000133,
365
+ "count": 3,
366
+ "is_parallel": true,
367
+ "self": 0.00017660000000008225,
368
+ "children": {
369
+ "image_decompress": {
370
+ "total": 0.005596200000000051,
371
+ "count": 3,
372
+ "is_parallel": true,
373
+ "self": 0.005596200000000051
374
+ }
375
+ }
376
+ }
377
+ }
378
+ }
379
+ }
380
+ },
381
+ "_process_rank_one_or_two_observation": {
382
+ "total": 8.819999999998274e-05,
383
+ "count": 2,
384
+ "is_parallel": true,
385
+ "self": 8.819999999998274e-05
386
+ }
387
+ }
388
+ },
389
+ "UnityEnvironment.step": {
390
+ "total": 1866.4122840000964,
391
+ "count": 601537,
392
+ "is_parallel": true,
393
+ "self": 31.924546500075166,
394
+ "children": {
395
+ "UnityEnvironment._generate_step_input": {
396
+ "total": 34.24681139995792,
397
+ "count": 601537,
398
+ "is_parallel": true,
399
+ "self": 34.24681139995792
400
+ },
401
+ "communicator.exchange": {
402
+ "total": 1556.1547881001525,
403
+ "count": 601537,
404
+ "is_parallel": true,
405
+ "self": 1556.1547881001525
406
+ },
407
+ "steps_from_proto": {
408
+ "total": 244.0861379999107,
409
+ "count": 601537,
410
+ "is_parallel": true,
411
+ "self": 50.56238760021466,
412
+ "children": {
413
+ "_process_maybe_compressed_observation": {
414
+ "total": 168.64981030000087,
415
+ "count": 1203074,
416
+ "is_parallel": true,
417
+ "self": 16.041587999796263,
418
+ "children": {
419
+ "_observation_to_np_array": {
420
+ "total": 152.6082223002046,
421
+ "count": 1806210,
422
+ "is_parallel": true,
423
+ "self": 13.776667700266586,
424
+ "children": {
425
+ "process_pixels": {
426
+ "total": 138.83155459993802,
427
+ "count": 1806210,
428
+ "is_parallel": true,
429
+ "self": 50.578765499881044,
430
+ "children": {
431
+ "image_decompress": {
432
+ "total": 88.25278910005697,
433
+ "count": 1806210,
434
+ "is_parallel": true,
435
+ "self": 88.25278910005697
436
+ }
437
+ }
438
+ }
439
+ }
440
+ }
441
+ }
442
+ },
443
+ "_process_rank_one_or_two_observation": {
444
+ "total": 24.87394009969518,
445
+ "count": 1203074,
446
+ "is_parallel": true,
447
+ "self": 24.87394009969518
448
+ }
449
+ }
450
+ }
451
+ }
452
+ }
453
+ }
454
+ }
455
+ }
456
+ }
457
+ }
458
+ }
459
+ }
460
+ },
461
+ "trainer_threads": {
462
+ "total": 2.6499999876250513e-05,
463
+ "count": 1,
464
+ "self": 2.6499999876250513e-05,
465
+ "children": {
466
+ "thread_root": {
467
+ "total": 0.0,
468
+ "count": 0,
469
+ "is_parallel": true,
470
+ "self": 0.0,
471
+ "children": {
472
+ "trainer_advance": {
473
+ "total": 4219.352813700037,
474
+ "count": 218326,
475
+ "is_parallel": true,
476
+ "self": 8.600666500171428,
477
+ "children": {
478
+ "process_trajectory": {
479
+ "total": 3503.778068699863,
480
+ "count": 218326,
481
+ "is_parallel": true,
482
+ "self": 3503.484626999863,
483
+ "children": {
484
+ "RLTrainer._checkpoint": {
485
+ "total": 0.29344170000013037,
486
+ "count": 3,
487
+ "is_parallel": true,
488
+ "self": 0.29344170000013037
489
+ }
490
+ }
491
+ },
492
+ "_update_policy": {
493
+ "total": 706.9740785000023,
494
+ "count": 254,
495
+ "is_parallel": true,
496
+ "self": 147.36328050003033,
497
+ "children": {
498
+ "TorchPPOOptimizer.update": {
499
+ "total": 559.610797999972,
500
+ "count": 20709,
501
+ "is_parallel": true,
502
+ "self": 559.610797999972
503
+ }
504
+ }
505
+ }
506
+ }
507
+ }
508
+ }
509
+ }
510
+ }
511
+ },
512
+ "TrainerController._save_models": {
513
+ "total": 0.08693550000043615,
514
+ "count": 1,
515
+ "self": 0.015241100000821461,
516
+ "children": {
517
+ "RLTrainer._checkpoint": {
518
+ "total": 0.07169439999961469,
519
+ "count": 1,
520
+ "self": 0.07169439999961469
521
+ }
522
+ }
523
+ }
524
+ }
525
+ }
526
+ }
527
+ }
run_logs/training_status.json ADDED
@@ -0,0 +1,62 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "difficulty": {
3
+ "lesson_num": 0
4
+ },
5
+ "task": {
6
+ "lesson_num": 0
7
+ },
8
+ "Agent": {
9
+ "checkpoints": [
10
+ {
11
+ "steps": 499501,
12
+ "file_path": "results\\AerialWildfireSuppression/train/AerialWildfireSuppression_difficulty_3_task_2_run_id_0_train\\Agent\\Agent-499501.onnx",
13
+ "reward": 1254.5,
14
+ "creation_time": 1718212225.3327487,
15
+ "auxillary_file_paths": [
16
+ "results\\AerialWildfireSuppression/train/AerialWildfireSuppression_difficulty_3_task_2_run_id_0_train\\Agent\\Agent-499501.pt"
17
+ ]
18
+ },
19
+ {
20
+ "steps": 997596,
21
+ "file_path": "results\\AerialWildfireSuppression/train/AerialWildfireSuppression_difficulty_3_task_2_run_id_0_train\\Agent\\Agent-997596.onnx",
22
+ "reward": 320.6666666666667,
23
+ "creation_time": 1718213384.9189377,
24
+ "auxillary_file_paths": [
25
+ "results\\AerialWildfireSuppression/train/AerialWildfireSuppression_difficulty_3_task_2_run_id_0_train\\Agent\\Agent-997596.pt"
26
+ ]
27
+ },
28
+ {
29
+ "steps": 1497855,
30
+ "file_path": "results\\AerialWildfireSuppression/train/AerialWildfireSuppression_difficulty_3_task_2_run_id_0_train\\Agent\\Agent-1497855.onnx",
31
+ "reward": 3854.6,
32
+ "creation_time": 1718214559.145445,
33
+ "auxillary_file_paths": [
34
+ "results\\AerialWildfireSuppression/train/AerialWildfireSuppression_difficulty_3_task_2_run_id_0_train\\Agent\\Agent-1497855.pt"
35
+ ]
36
+ },
37
+ {
38
+ "steps": 1804605,
39
+ "file_path": "results\\AerialWildfireSuppression/train/AerialWildfireSuppression_difficulty_3_task_2_run_id_0_train\\Agent\\Agent-1804605.onnx",
40
+ "reward": 5558.666666666667,
41
+ "creation_time": 1718215299.2712917,
42
+ "auxillary_file_paths": [
43
+ "results\\AerialWildfireSuppression/train/AerialWildfireSuppression_difficulty_3_task_2_run_id_0_train\\Agent\\Agent-1804605.pt"
44
+ ]
45
+ }
46
+ ],
47
+ "final_checkpoint": {
48
+ "steps": 1804605,
49
+ "file_path": "results\\AerialWildfireSuppression/train/AerialWildfireSuppression_difficulty_3_task_2_run_id_0_train\\Agent.onnx",
50
+ "reward": 5558.666666666667,
51
+ "creation_time": 1718215299.2712917,
52
+ "auxillary_file_paths": [
53
+ "results\\AerialWildfireSuppression/train/AerialWildfireSuppression_difficulty_3_task_2_run_id_0_train\\Agent\\Agent-1804605.pt"
54
+ ]
55
+ }
56
+ },
57
+ "metadata": {
58
+ "stats_format_version": "0.3.0",
59
+ "mlagents_version": "0.30.0",
60
+ "torch_version": "1.7.1+cu110"
61
+ }
62
+ }